65 Commits
Author SHA1 Message Date
saidsurucuandClaude Opus 4.8 6eb86d0a9a chore: bump version to 0.2.2
Ships the AYM/Uyuşmazlık API migration (fadc3b0), which landed after the
v0.2.1 release and so never reached PyPI. Fixes #33.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-14 12:11:40 +03:00
saidsurucuandClaude Opus 4.8 0e51ca432a docs: document BTK module in README and CLAUDE.md
PR #31 added btk_mcp_module (BTK Board decisions). Update the
institution lists, tool reference, and stats to include the two new
BTK tools, and correct stale tool/institution counts.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 19:19:48 +03:00
Said Sürücü 08a19fb83c Merge pull request #31 from ab-ihsanoglu/main
Add a module for BTK decisions
2026-07-05 18:37:54 +03:00
ab-ihsanoglu 15402b4423 Add a module for BTK database 2026-07-04 13:18:48 +03:00
saidsurucuandClaude Opus 4.8 1b483a6fcf fix(emsal): add per-IP rate limiting to prevent spurious empty results
UYAP Emsal (emsal.uyap.gov.tr) rate-limits per source IP, returning HTTP
429 (HTML error page, no Retry-After) after a small burst of rapid
requests. With no client-side throttling, sequential searches would fail
after the first few — making results appear term-dependent (always the
same later queries "returning 0") when the cause was purely request order
and rate. On the shared-egress-IP production deployment this was hit
constantly.

Add the same token-bucket + 429 back-pressure pattern already used by the
Bedesten client: requests are spaced ~3.5s apart and the bucket freezes on
an actual 429. Configurable via EMSAL_RATE_CAPACITY / EMSAL_RATE_REFILL_S /
EMSAL_RATE_MAX_WAIT_S.

Verified: seven sequential searches (incl. previously "failing" kıdem,
boşanma, kamulaştırma) all return results with no 429s.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 21:03:41 +03:00
saidsurucuandClaude Opus 4.8 cc055103fe docs: document AYM/Uyuşmazlık API rewrites in CLAUDE.md
Add a changelog entry for the new AYM JSON API and Uyuşmazlık ASP.NET
postback + PDF flow, and update a stale curl example to use
search_anayasa_unified.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 19:24:16 +03:00
saidsurucu 2c3347643d Merge: adapt AYM and Uyuşmazlık tools to rebuilt sites 2026-06-30 19:22:56 +03:00
saidsurucuandClaude Opus 4.8 fadc3b0bc0 fix(aym,uyusmazlik): adapt to rebuilt AYM and Uyuşmazlık sites
Both sites were rebuilt and their old endpoints now 404:
- AYM moved to a single-page app backed by a JSON API
  (POST /api/core/public/search, kararTipi NormDenetimi/BireyselBasvuru;
  full text via {id, size:1} -> "icerik" HTML). Old /Ara, /ND/, /BB/ gone.
- Uyuşmazlık moved to ASP.NET WebForms (viewstate postback to /, GridView
  results, decisions served as /Uploads/{EsasNo}.pdf). Old /Arama/Search gone.

Changes:
- New anayasa_mcp_module/api_client.py: shared KBB JSON client, base64url
  document-id codec, HTML->Markdown + HTML text stripping helpers.
- Rewrite anayasa client/bireysel_client/unified_client over the new API,
  preserving public method names and response models.
- Rewrite uyusmazlik client for the postback flow + GridView parse + PDF
  document conversion; simplify request model to text + scope + paging.
- Trim search_anayasa_unified and search_uyusmazlik_decisions tool signatures
  to parameters the new APIs actually support; drop dead enums.

Verified live via FastMCP client: search + document retrieval work for AYM
norm/bireysel and Uyuşmazlık.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 19:22:49 +03:00
saidsurucuandClaude Opus 4.8 6bbc656dc6 docs: add Claude Desktop local uv copy-paste install to README
Platforma göre claude_desktop_config.json yolunu otomatik tespit eden
kopyala-yapıştır komutu (macOS/Linux + Windows) ve manuel alternatif eklendi.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-18 19:01:44 +03:00
saidsurucuandClaude Opus 4.8 a062237474 docs: add local uv copy-paste install for Antigravity; bump to 0.2.1
README'ye Antigravity için lokal uvx kurulumunu otomatik yapan
kopyala-yapıştır komutu eklendi (~/.gemini/config/mcp_config.json).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-18 18:51:19 +03:00
Said Sürücü b69eda77af Merge pull request #28 from hburaktasyurek/tool-limit-alignment
Tool Routing: align descriptions with runtime behavior and reduce Bedesten request overhead
2026-06-16 11:53:09 +03:00
Hasan Burak Taşyürek 3927dcee8f feat(deep-research): reduce Bedesten request overhead
Use search-result metadata for Deep Research previews instead of fetching every candidate document.

This keeps the compatibility tools within upstream Bedesten rate limits and updates the README to match the current active tool set.
2026-06-13 00:07:03 +03:00
Said Sürücü 3768104679 Merge pull request #27 from Baijack-star/docs-remote-mcp-troubleshooting
Document remote MCP troubleshooting
2026-06-08 18:53:18 +03:00
saidsurucuandClaude Opus 4.7 aa580ffafc docs: update Pro version URL to yargi.betaspacestudio.com
Replace https://yargi-mcp-pro-production.up.railway.app with
https://yargi.betaspacestudio.com in:
- README.md Pro announcement at the top
- mcp_server_main.py rate-limit messages in search_bedesten_unified
  and get_bedesten_document_markdown (4 occurrences)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-06-02 18:02:50 +03:00
saidsurucuandClaude Opus 4.7 931eb3ca8f docs(readme): announce Yargı MCP Pro at the top
Add a top-of-README callout pointing to the professional version that
combines mevzuat and içtihat in a single MCP server:
https://yargi-mcp-pro-production.up.railway.app

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-31 16:53:39 +03:00
saidsurucuandClaude Opus 4.7 d258ad2375 Merge fix/anayasa-document-url-host: force correct host for AYM document URLs
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-27 14:06:24 +03:00
saidsurucuandClaude Opus 4.7 061887f870 fix(anayasa): force correct host for AYM document URLs by path
get_anayasa_document_unified 404'd when a /ND/ (Norm Denetimi) path was
supplied on the bireysel host (kararlarbilgibankasi) instead of the norm
host. Detection was netloc-first and passed the wrong-domain URL through
unchanged.

Add normalize_anayasa_document_url(): classify by path (/ND/ vs /BB/) and
re-key the host to the canonical domain, preserving query/fragment. Route
get_document_unified() off the normalized result. Verified end-to-end: the
previously-404 URL now returns the decision markdown.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-27 14:06:09 +03:00
saidsurucu ac611f840c Merge fix/kik-v2-dynamic-security-headers: KİK v2 dynamic request signing 2026-05-26 12:19:52 +03:00
saidsurucuandClaude Opus 4.7 c938f10ba2 fix(kik): generate v2 request-signing headers per-request
The KİK v2 API (ekapv2.kik.gov.tr) validates a timestamp embedded in the
X-Custom-Request-Ts header and rejects stale values with HTTP 401
"İstek zaman aşımına uğradı." The client previously sent hardcoded, captured
header values, so once that timestamp aged out every search 401'd across all
three decision types (uyusmazlik/duzenleyici/mahkeme).

Replicate the Angular HTTP interceptor: AES-192-CBC/PKCS7 encrypt a fresh uuid4
GUID and the current epoch-millis timestamp with the environment.r8fact key and
a random IV, regenerated on every request.

Verified live: all three decision types return results with hataKodu "0".

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-26 12:19:48 +03:00
Baijack-star 1356c4d020 Document remote MCP troubleshooting 2026-05-22 07:39:44 +08:00
saidsurucuandClaude Opus 4.7 5392435c7a docs(bedesten): point rate-limit message to Yargı MCP Pro beta
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-18 17:44:22 +03:00
saidsurucuandClaude Opus 4.7 96a5a538b2 perf(server): unblock event loop on rate-limit waits and markitdown
Two complementary changes to mitigate intermittent TLS handshake
timeouts and "notifications/cancelled: Bad Request" seen against the
single-worker uvicorn deployment.

1. bedesten rate-limiter back-pressure
   - Add optional ``max_wait`` to ``_TokenBucket.acquire``: if the next
     wait would exceed it, raise ``BedestenRateLimited`` immediately
     instead of sleeping. After a server-side 429 the bucket pauses for
     up to 30s; previously a queued request sat in ``asyncio.sleep``
     for that whole window, holding the worker slot and pushing the
     MCP client past its cancellation timeout.
   - ``search_bedesten_unified`` / ``get_bedesten_document_markdown``
     catch ``BedestenRateLimited`` and reuse the existing structured
     429-style response, so callers get a fast, clean retry signal.
   - Tunable via ``BEDESTEN_RATE_MAX_WAIT_S`` (default 8.0s).

2. Offload sync markitdown conversions to a thread
   - Every ``markitdown.convert*`` call site is now wrapped in
     ``asyncio.to_thread(...)`` across 14 modules (bedesten, yargitay,
     danistay, anayasa norm + bireysel, uyusmazlik, emsal, rekabet,
     gib, kvkk, sayistay, bddk, sigorta_tahkim, kik_v2). PDF / large
     HTML parsing was stalling the event loop for seconds, which on a
     single-worker deployment delayed every other in-flight request
     and queued new TLS handshakes until they timed out.

Verified locally:
- ``ast.parse`` + ``importlib.import_module`` on all 15 modified files
- ``mcp_server_main.create_app()`` constructs successfully
- New ``_TokenBucket.acquire(max_wait=...)`` smoke-tested across 6
  paths: capacity-available, no-arg backward compat, max_wait raise,
  max_wait wait+succeed, ``penalize_until`` + max_wait fast-raise.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 14:31:23 +03:00
saidsurucu 26aa3dacc6 fix(bedesten): include itemTypeList in fetch metadata search
The fetch tool's metadata lookup constructed BedestenSearchData without
the required itemTypeList field, causing a Pydantic validation error and
losing the chance to enrich the response with a proper title.
2026-05-08 21:58:30 +03:00
saidsurucuandClaude Opus 4.7 58457b076f feat(bedesten): client-side rate limiter with 429 back-pressure
Probed the live API (2026-05-08): the per-IP limit is 10 requests in a
rolling 30s window, with HTTP 429 + Retry-After: 30 on the 11th call.

Add a token bucket inside BedestenApiClient (default capacity=1, refill
1 token / 3.5s — strict serialization, no burst) so we stay below the
threshold by default. When the server still returns 429 (e.g. the egress
IP is shared with other clients), pause the whole bucket for the
Retry-After window so queued in-flight requests wait gracefully instead
of hammering. Tunable via BEDESTEN_RATE_CAPACITY / BEDESTEN_RATE_REFILL_S.

Verified: 14 concurrent requests after a clean cooldown -> 13 OK,
1 stray 429 (bucket auto-paused 22.5s, then drained cleanly).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-08 21:10:37 +03:00
saidsurucuandClaude Opus 4.7 4521e1de85 fix(bedesten): suggest yargi-cli as fallback in 429 message
When the Bedesten API rate-limits us, point the model at the local
yargi-cli tool (https://github.com/saidsurucu/yargi-cli) so the user
has a working alternative while waiting out the limit.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-08 20:30:49 +03:00
saidsurucuandClaude Opus 4.7 8f04010c57 fix(bedesten): return structured 429 response instead of raising
Bedesten API can intermittently return HTTP 429 Too Many Requests.
Previously the tool raised, leaving the LLM with an unhandled error.
Now search_bedesten_unified returns a dict with error="rate_limit_exceeded"
and get_bedesten_document_markdown returns a BedestenDocumentMarkdown
whose markdown_content describes the rate limit, so the model can
inform the user and retry. Non-429 errors still propagate.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-08 20:18:12 +03:00
saidsurucuandClaude Opus 4.7 7ed9c25687 docs(readme): announce migration to yargimcp.surucu.dev
Add a prominent banner at the top of the README and inline notices
near the connection instructions stating the server has moved to
https://yargimcp.surucu.dev/mcp. The old https://yargimcp.fastmcp.app/mcp
endpoint is now a migration stub that returns only a notice tool.
Update Claude Desktop and Google Antigravity config URLs to the new host.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-08 00:43:32 +03:00
saidsurucuandClaude Opus 4.7 4fdc7a3689 fix(deploy): make migration_app entrypoint a FastMCP instance
The Dokploy FastMCP build pipeline runs `fastmcp inspect <module>:app`
and expects `app` to be a FastMCP instance, not a Starlette ASGI app.
Drop the `mcp.http_app()` wrapper and bind the FastMCP instance to
`app` directly so `fastmcp inspect` and `fastmcp run --transport http`
both work. Verified locally with `fastmcp inspect` and end-to-end MCP
initialize over `fastmcp run`.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-08 00:39:02 +03:00
saidsurucuandClaude Opus 4.7 1538a4c145 feat(deploy): add migration stub MCP app pointing to new URL
migration_app.py is a minimal FastMCP server with a single
migration_notice tool. Intended for the deprecated endpoint so
existing MCP clients learn the server has moved to
https://yargimcp.surucu.dev/mcp and instruct the user to update
their client configuration.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-08 00:29:32 +03:00
saidsurucuandClaude Opus 4.7 a24def2e66 feat(deploy): add minimal ASGI app and Dockerfile for simple deploys
Mirrors the mevzuat-mcp pattern: a thin app.py exposing
mcp.http_app() with a /health route, no FastAPI/CORS/OAuth wrapper.
Dockerfile builds on python:3.12-slim and runs uvicorn directly.
Removes Dockerfile/fly.toml entries from .dockerignore so the new
Dockerfile is included in the build context.

Existing asgi_app.py (api.yargimcp.com production) is untouched.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-07 13:13:22 +03:00
saidsurucuandClaude Opus 4.7 6b781b61d2 docs(semantic_search): recommend multilingual-e5-large for Turkish (#22)
Different embedding model families need different prompt prefixes —
Gemini wants "task: ... | query: ..." and "title: ... | text: ...",
e5 wants "query: ..." / "passage: ...", and using the wrong one
silently degrades retrieval quality. Add EMBEDDING_PROMPT_STYLE
(gemini/e5/raw) so the prefix matches the chosen model.

Defaults: gemini for OpenRouter (matches the existing default
google/gemini-embedding-001), e5 for the local provider (matches
the recommended multilingual-e5-large setup). Both override via
env var or constructor.

Update README and .env.example to recommend intfloat/multilingual-
e5-large served by HuggingFace Text Embeddings Inference (one
docker run) as the Turkish-optimized local setup, with a clear env
var reference table. Ollama and OpenRouter remain documented as
alternatives.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 01:55:42 +03:00
saidsurucuandClaude Opus 4.7 fb29146755 feat(semantic_search): support local OpenAI-compatible embedding servers (#22)
Adds a LocalEmbedder that targets any OpenAI-compatible embedding
endpoint (Ollama, llama.cpp, vLLM, LM Studio, ...). Zero new
Python dependencies — reuses the existing openai SDK with a
custom base_url. Defaults to Ollama at http://localhost:11434/v1
with nomic-embed-text @ 768 dims; override via env vars for other
servers/models (e.g. bge-m3 @ 1024 dims for better Turkish).

Refactors the shared encode/similarity logic into a private base
class so OpenRouterEmbedder and LocalEmbedder don't duplicate ~50
lines. OpenRouter keeps its ranking headers; local sends none.

Adds get_embedder() factory selecting the provider based on
EMBEDDING_PROVIDER (local) or OPENROUTER_API_KEY presence, and
is_semantic_search_available() that returns True for either path.
mcp_server_main now uses these so the semantic_search tool is
exposed when only a local server is configured.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 01:50:47 +03:00
saidsurucuandClaude Opus 4.7 42731a2c03 feat(semantic_search): make embedding model configurable (#22)
google/gemini-embedding-001 became paid on OpenRouter, leaving
users without credit unable to run the semantic_search tool. The
old code hardcoded the model and 3072 dimensions in three places.

Make OpenRouterEmbedder accept model/dimension via constructor
args or OPENROUTER_EMBEDDING_MODEL / OPENROUTER_EMBEDDING_DIMENSION
env vars, with the previous values as backward-compatible defaults.
Switch the VectorStore and the response payload in mcp_server_main
to read embedder.dimension instead of the hardcoded 3072 so a
configured non-Gemini model does not produce shape mismatches.

Bad dimension input (non-int or non-positive) now raises a clear
ValueError instead of a downstream shape error.

Documented the new env vars in .env.example.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 01:46:33 +03:00
saidsurucuandClaude Opus 4.7 ae5d590cca fix(sayistay): surface clear error when upstream WAF returns 418 (#23)
Verified 2026-05-03 against a real Chrome browser: POSTs to
/KararlarGenelKurul/DataTablesList consistently return HTTP 418
with the WAF block page "Bilgi Güvenliği Politikaları Gereği
Kısıtlanmıştır", regardless of headers, cookies, CSRF token, or
form payload. The block is server-side at sayistay.gov.tr and
cannot be worked around client-side. The Temyiz Kurulu and Daire
endpoints are unaffected (29k/22k records still return normally).

Detect the 418 + WAF marker in all three search methods and raise
a clear RuntimeError explaining it is an upstream restriction,
instead of the cryptic "Client error '418 I'm a teapot'" that
hides the real situation from MCP clients.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 01:41:35 +03:00
saidsurucuandClaude Opus 4.7 ee544dc603 fix(rekabet): return parsed decisions instead of empty array (#24)
Token-optimization commit e34d81b tightened RekabetDecisionSummary
fields from Optional[str]/Optional[HttpUrl] to plain str with ""
defaults, but client.py kept passing None for unparsed cells and
HttpUrl(...) for URLs. Pydantic v2 rejected both, the broad
except Exception swallowed every row, and decisions came back []
while total_records_found stayed populated.

Default unparsed string fields to "" and pass URL strings directly
to the model. Verified against the live API for empty args,
PdfText filter, and KararTuru filter.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 01:33:52 +03:00
saidsurucuandClaude Opus 4.7 355f505da9 docs: Update README for GİB özelge module
- Intro paragraph: add GİB Özelgeleri to institution list
- Feature bullets: add GİB Özelgeleri entry with supported filters
- Tool list: new "GİB Özelge Araçları" subsection covering
  search_gib_ozelge and get_gib_ozelge_document_markdown
- Counts: tool total 22 → 24, institution total 14 → 15

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-18 18:01:57 +03:00
saidsurucuandClaude Opus 4.7 4c06a5926b Add GİB özelge (tax rulings) MCP module
Introduces two tools backed by the gib.gov.tr public JSON API
(reverse-engineered from the Next.js SPA chunks):

- search_gib_ozelge: keyword, ozelgeNo, kanunNo, date-range, paging
  over 18k+ Revenue Administration tax rulings. Simple YYYY-MM-DD
  dates are auto-expanded to ISO 8601 to satisfy the backend.
- get_gib_ozelge_document_markdown: fetch a single ruling by numeric
  id and return 5000-char paginated Markdown with a metadata header
  block (title, ozelgeNo, tarih, kanun, kaynak).

Also prunes stale auth/Fly.io-era entries from uv.lock.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-18 17:55:14 +03:00
saidsurucu 2cec4dccd6 Fix user_id not defined error in bedesten search 2026-04-03 15:28:48 +03:00
saidsurucu 5c2e9cc92b Add .serena to gitignore and remove from repo 2026-04-03 02:10:18 +03:00
saidsurucu a66a3f2053 Remove auth and Fly.io deployment 2026-04-03 02:08:56 +03:00
saidsurucu a4d9e2e53d Remove mcp_auth_http_simple.py 2026-04-03 02:02:44 +03:00
saidsurucu 036e49a928 docs: Update README with Sigorta Tahkim Komisyonu (14 institutions, 22 tools) 2026-03-09 22:40:10 +03:00
saidsurucu 7f78f87508 feat: Add Sigorta Tahkim Komisyonu MCP module (3 tools)
Add Insurance Arbitration Commission integration with Tavily search
and direct PDF download for 64 quarterly journal issues (2010-2025).

Tools:
- search_sigorta_tahkim_decisions: Search via Tavily API
- get_sigorta_tahkim_document_markdown: PDF download + paginated markdown
- search_within_sigorta_tahkim_issue: Keyword search within individual
  decisions of a journal issue, with Turkish İ/I case folding support

Total tools: 25 (was 22)
2026-03-09 22:17:27 +03:00
saidsurucu d8805cb93b fix: Reject null JSON-RPC IDs per MCP spec 2025-11-25
Monkey-patch JSONRPCNotification to use extra="forbid" so that
requests with "id": null are no longer misclassified as notifications
(202 Accepted). They now correctly fail validation and return a
-32600 Invalid Request error.
2026-02-16 01:29:17 +03:00
saidsurucuandClaude Opus 4.5 28ff2e39a5 fix: Update Bedesten document source_url to mevzuat.adalet.gov.tr format
Changed source_url from API endpoint (bedesten.adalet.gov.tr/document/{id})
to user-facing URL (mevzuat.adalet.gov.tr/ictihat/{id}) for direct browser access.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-27 20:02:41 +03:00
Said Sürücü fd08637ca2 Update README.md 2026-01-15 11:00:21 +03:00
saidsurucu a5e6baeec8 fix: FastMCP 2.12+ auth import compatibility 2026-01-15 00:59:54 +03:00
saidsurucu 8818a7809a docs: Add Google Antigravity setup instructions 2025-12-27 11:05:52 +03:00
saidsurucu 12d51e3735 fix: Emsal API null safety 2025-12-26 21:07:42 +03:00
Said Sürücü efe962abf1 Update README with new application udfcevir.com
Added a new application for professional conversion from Word to UDF.
2025-12-26 14:29:07 +03:00
saidsurucu 1d73265f10 feat: ChatGPT App compliance updates 2025-12-25 17:42:22 +03:00
saidsurucu f1d3b60efb feat: Add semantic search documentation and bump version to 0.2.0
- Add OpenRouter API configuration guide for Claude Desktop, 5ire, Gemini CLI
- Document semantic search workflow (initial_keyword + query)
- Update tool count to reflect optional semantic search tool
- Bump version to 0.2.0 for semantic search feature release
2025-12-13 19:51:13 +03:00
saidsurucu 93e64bc1fc docs: Improve search_bedesten_semantic parameter descriptions for LLM usage 2025-12-13 19:44:59 +03:00
saidsurucu 77e2748ade feat(semantic-search): Replace local embedding model with OpenRouter API
- Replace EmbeddingGemma local model with OpenRouter API integration
- Use google/gemini-embedding-001 model via OpenRouter (3072 dimensions)
- Add conditional tool registration: auto-disable if OPENROUTER_API_KEY not set
- Add openai and numpy dependencies to pyproject.toml
- Update .env.example with OPENROUTER_API_KEY configuration
- Fix ruff lint issues in semantic_search module
2025-12-13 18:33:47 +03:00
saidsurucuandClaude da146cf3ec feat: Add semantic search tool (search_bedesten_semantic)
Add semantic search capabilities to MCP server:
- Import semantic_search module components
- Add search_bedesten_semantic tool with EmbeddingGemma integration
- Supports intelligent re-ranking of legal decisions
- 5-step process: keyword search → fetch docs → embed → vector search → format

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-13 17:20:27 +03:00
saidsurucuandClaude e771c5b3c5 feat: Add semantic search module
Add semantic search capabilities with:
- embedder.py: Text embedding operations
- processor.py: Document processing
- vector_store.py: Vector storage and retrieval

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-13 17:15:12 +03:00
saidsurucu 1223b37adb refactor: Rename KİK document parameter to gundemMaddesiId 2025-12-04 15:58:25 +03:00
saidsurucu e26f09aced refactor: Remove Playwright dependency completely from project
- Replace Playwright base image with python:3.12-slim in Dockerfile
- Remove playwright from pyproject.toml dependencies
- Remove ensure_playwright_browsers() function from mcp_server_main.py
- Delete KİK v1 client files (client.py, models.py) - v2 uses httpx
- Delete postinstall.sh Playwright installation script
- Delete obsolete setup.py and requirements.txt.bak
- Remove saidsurucu-yargi-mcp-f5fa007 snapshot directory
- Update client_v2.py docstring to reflect httpx usage
- Regenerate uv.lock without playwright

KİK v2 now uses pure httpx for all HTTP operations with SSL legacy support.
2025-12-04 15:50:20 +03:00
saidsurucu ae5bae2f4a refactor(kik): Replace Playwright with httpx for document retrieval
- Remove Playwright dependency from KİK v2 client
- Use httpx with legacy SSL context for document fetching
- Remove unused imports (requests, base64, subprocess, shutil)
- Simpler and faster implementation
- Tested: 52,856 chars retrieved successfully
2025-12-04 15:43:22 +03:00
saidsurucu a2b50951e9 feat(kik): Implement document ID encryption for KİK v2 API
Reverse engineered the AES-256-CBC encryption used by KİK's Angular web
application to generate document URL hashes from numeric IDs.

Key findings:
- Algorithm: AES-256-CBC with PKCS7 padding
- Key location: ekapv2.kik.gov.tr module 21554 (environment config)
- Output format: IV (16 bytes hex) + Ciphertext (16 bytes hex) = 64 chars

Changes:
- Added encrypt_document_id() static method to KikV2ApiClient
- Updated get_document_markdown() to auto-encrypt numeric gundemMaddesiId
- Added cryptography>=44.0.0 dependency for AES encryption
- Both primary and fallback URL paths now support encryption

This enables direct document retrieval from numeric search result IDs
without requiring the pre-encrypted hash from the web interface.
2025-12-04 15:17:13 +03:00
saidsurucu 91ad04cf09 Fix: Catch all Playwright errors for curl fallback
ImportError only catches import failures. Browser launch errors
(executable not found) are runtime exceptions. Changed to catch
all Exception types to properly fallback to curl.
2025-12-04 14:44:39 +03:00
saidsurucu 5cec0df785 Add curl fallback for KİK document retrieval
Python SSL libraries (httpx, requests, urllib) fail with SSL handshake
errors against ekap.kik.gov.tr legacy server. curl uses different SSL
implementation (LibreSSL) that works.

Changes:
- Add subprocess + shutil imports
- Replace httpx fallback with curl fallback in get_document_markdown
- curl uses -k (insecure), -s (silent), -L (follow redirects) flags
- Enables KİK document retrieval on FastMCP Cloud without Playwright
2025-12-04 14:36:07 +03:00
saidsurucu d51f11c7ba Use setup.py post-install hook for Playwright Chromium installation
- Remove runtime subprocess install (FastMCP Cloud doesn't allow disk writes)
- Add setup.py with cmdclass hooks to install Chromium at build time
- Rename requirements.txt so FastMCP Cloud uses pyproject.toml instead
2025-12-04 13:34:10 +03:00
saidsurucu b207b16ef7 Auto-install Playwright Chromium at server startup for cloud deployments 2025-12-04 13:25:53 +03:00
saidsurucu f47147ba44 Add postinstall.sh for Playwright Chromium installation 2025-12-04 13:20:37 +03:00
137 changed files with 5720 additions and 23664 deletions
-3
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@@ -181,6 +181,3 @@ site
# Production logs
**/logs/*.log.*
**/Dockerfile
**/Dockerfile
fly.toml
+44
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@@ -70,6 +70,50 @@ JWT_SECRET_KEY=your_jwt_secret_key_here
# MAX_REQUESTS_PER_MINUTE=60
# BURST_CAPACITY=20
# =============================================================================
# SEMANTIC SEARCH SETTINGS (Optional)
# =============================================================================
# Embedding provider for the semantic_search tool.
# Pick exactly one of: OpenRouter (hosted) or Local (your own server).
# --- Option A: OpenRouter (hosted, default) -----------------------------------
# Get your API key from: https://openrouter.ai/keys
# If neither this nor EMBEDDING_PROVIDER=local is set, semantic search is off.
OPENROUTER_API_KEY=sk-or-v1-your_openrouter_api_key_here
# Optional: override the OpenRouter embedding model and dimension.
# Defaults: google/gemini-embedding-001 at 3072 dims (paid on OpenRouter).
# Pick any model from https://openrouter.ai/models?modality=embedding
# and set the dimension to that model's output size — they must match.
# OPENROUTER_EMBEDDING_MODEL=google/gemini-embedding-001
# OPENROUTER_EMBEDDING_DIMENSION=3072
# --- Option B: Local OpenAI-compatible server (no API key required) ----------
# Recommended for Turkish: intfloat/multilingual-e5-large served by HuggingFace
# Text Embeddings Inference (TEI). One-line setup:
#
# docker run -p 8080:80 ghcr.io/huggingface/text-embeddings-inference:latest \
# --model-id intfloat/multilingual-e5-large
#
# Then uncomment the block below. Other model families work too — set
# EMBEDDING_PROMPT_STYLE to match: e5 / gemini / raw.
#
# EMBEDDING_PROVIDER=local
# LOCAL_EMBEDDING_BASE_URL=http://localhost:8080/v1
# LOCAL_EMBEDDING_MODEL=intfloat/multilingual-e5-large
# LOCAL_EMBEDDING_DIMENSION=1024
# EMBEDDING_PROMPT_STYLE=e5
# LOCAL_EMBEDDING_API_KEY= # most local servers ignore this
#
# Ollama fallback (if you prefer Ollama and don't need top Turkish quality):
# ollama serve && ollama pull nomic-embed-text
# EMBEDDING_PROVIDER=local
# LOCAL_EMBEDDING_BASE_URL=http://localhost:11434/v1
# LOCAL_EMBEDDING_MODEL=nomic-embed-text
# LOCAL_EMBEDDING_DIMENSION=768
# EMBEDDING_PROMPT_STYLE=raw # nomic uses its own search_query/search_document
# =============================================================================
# USAGE INSTRUCTIONS
# =============================================================================
+3
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@@ -1,3 +1,6 @@
# Serena
.serena/
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
-1
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@@ -1 +0,0 @@
/cache
-84
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@@ -1,84 +0,0 @@
# list of languages for which language servers are started; choose from:
# al bash clojure cpp csharp csharp_omnisharp
# dart elixir elm erlang fortran go
# haskell java julia kotlin lua markdown
# nix perl php python python_jedi r
# rego ruby ruby_solargraph rust scala swift
# terraform typescript typescript_vts yaml zig
# Note:
# - For C, use cpp
# - For JavaScript, use typescript
# Special requirements:
# - csharp: Requires the presence of a .sln file in the project folder.
# When using multiple languages, the first language server that supports a given file will be used for that file.
# The first language is the default language and the respective language server will be used as a fallback.
# Note that when using the JetBrains backend, language servers are not used and this list is correspondingly ignored.
languages:
- python
# the encoding used by text files in the project
# For a list of possible encodings, see https://docs.python.org/3.11/library/codecs.html#standard-encodings
encoding: "utf-8"
# whether to use the project's gitignore file to ignore files
# Added on 2025-04-07
ignore_all_files_in_gitignore: true
# list of additional paths to ignore
# same syntax as gitignore, so you can use * and **
# Was previously called `ignored_dirs`, please update your config if you are using that.
# Added (renamed) on 2025-04-07
ignored_paths: []
# whether the project is in read-only mode
# If set to true, all editing tools will be disabled and attempts to use them will result in an error
# Added on 2025-04-18
read_only: false
# list of tool names to exclude. We recommend not excluding any tools, see the readme for more details.
# Below is the complete list of tools for convenience.
# To make sure you have the latest list of tools, and to view their descriptions,
# execute `uv run scripts/print_tool_overview.py`.
#
# * `activate_project`: Activates a project by name.
# * `check_onboarding_performed`: Checks whether project onboarding was already performed.
# * `create_text_file`: Creates/overwrites a file in the project directory.
# * `delete_lines`: Deletes a range of lines within a file.
# * `delete_memory`: Deletes a memory from Serena's project-specific memory store.
# * `execute_shell_command`: Executes a shell command.
# * `find_referencing_code_snippets`: Finds code snippets in which the symbol at the given location is referenced.
# * `find_referencing_symbols`: Finds symbols that reference the symbol at the given location (optionally filtered by type).
# * `find_symbol`: Performs a global (or local) search for symbols with/containing a given name/substring (optionally filtered by type).
# * `get_current_config`: Prints the current configuration of the agent, including the active and available projects, tools, contexts, and modes.
# * `get_symbols_overview`: Gets an overview of the top-level symbols defined in a given file.
# * `initial_instructions`: Gets the initial instructions for the current project.
# Should only be used in settings where the system prompt cannot be set,
# e.g. in clients you have no control over, like Claude Desktop.
# * `insert_after_symbol`: Inserts content after the end of the definition of a given symbol.
# * `insert_at_line`: Inserts content at a given line in a file.
# * `insert_before_symbol`: Inserts content before the beginning of the definition of a given symbol.
# * `list_dir`: Lists files and directories in the given directory (optionally with recursion).
# * `list_memories`: Lists memories in Serena's project-specific memory store.
# * `onboarding`: Performs onboarding (identifying the project structure and essential tasks, e.g. for testing or building).
# * `prepare_for_new_conversation`: Provides instructions for preparing for a new conversation (in order to continue with the necessary context).
# * `read_file`: Reads a file within the project directory.
# * `read_memory`: Reads the memory with the given name from Serena's project-specific memory store.
# * `remove_project`: Removes a project from the Serena configuration.
# * `replace_lines`: Replaces a range of lines within a file with new content.
# * `replace_symbol_body`: Replaces the full definition of a symbol.
# * `restart_language_server`: Restarts the language server, may be necessary when edits not through Serena happen.
# * `search_for_pattern`: Performs a search for a pattern in the project.
# * `summarize_changes`: Provides instructions for summarizing the changes made to the codebase.
# * `switch_modes`: Activates modes by providing a list of their names
# * `think_about_collected_information`: Thinking tool for pondering the completeness of collected information.
# * `think_about_task_adherence`: Thinking tool for determining whether the agent is still on track with the current task.
# * `think_about_whether_you_are_done`: Thinking tool for determining whether the task is truly completed.
# * `write_memory`: Writes a named memory (for future reference) to Serena's project-specific memory store.
excluded_tools: []
# initial prompt for the project. It will always be given to the LLM upon activating the project
# (contrary to the memories, which are loaded on demand).
initial_prompt: ""
project_name: "yargi-mcp"
included_optional_tools: []
+58 -5
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@@ -4,7 +4,7 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
## Project Overview
This is a FastMCP server that provides programmatic access to Turkish legal databases through the Model Context Protocol (MCP). It integrates with 11 different Turkish legal institutions' databases including Yargıtay (Court of Cassation), Danıştay (Council of State), Constitutional Court, Competition Authority, Court of Accounts (Sayıştay), KVKK (Personal Data Protection Authority), BDDK (Banking Regulation and Supervision Agency), and others.
This is a FastMCP server that provides programmatic access to Turkish legal databases through the Model Context Protocol (MCP). It integrates with 11 different Turkish legal institutions' databases including Yargıtay (Court of Cassation), Danıştay (Council of State), Constitutional Court, Competition Authority, Court of Accounts (Sayıştay), KVKK (Personal Data Protection Authority), BDDK (Banking Regulation and Supervision Agency), BTK (Information and Communication Technologies Authority), and others.
**🎯 HIGHLY OPTIMIZED**: This MCP server has been extensively optimized for token efficiency, achieving a **56.8% reduction** in MCP overhead (from 14,061 to 6,073 tokens) while maintaining full functionality.
@@ -190,6 +190,7 @@ This MCP server has undergone comprehensive optimization to minimize token overh
9. **kvkk_mcp_module**: KVKK (Personal Data Protection Authority) decisions - Brave API integration
10. **bddk_mcp_module**: BDDK (Banking Regulation and Supervision Agency) decisions - Tavily API integration
11. **sayistay_mcp_module**: Sayıştay (Court of Accounts) decisions - Audit findings and appeals
12. **btk_mcp_module**: BTK (Information and Communication Technologies Authority) Board decisions - Official BTK JSON API + PDF-to-Markdown
### Key Design Patterns
- **FastMCP Integration**: Uses FastMCP framework for MCP server implementation
@@ -469,6 +470,28 @@ doc8 = await get_kvkk_document_markdown(decision_url="https://www.kvkk.gov.tr/Ic
- **Fallback Token**: If not set, uses a limited free token automatically
- KVKK search tools will work without configuration (with rate limits)
### Rate Limits
| API | Rate Limit | Notes |
|-----|------------|-------|
| Bedesten Unified | ~10 req / 30s window per source IP (measured 2026-05-08); 11th req → HTTP 429 with `Retry-After: 30`. Client uses an internal token bucket (default 1 token, refill 1/3.5s) plus 429 back-pressure (whole bucket pauses for the Retry-After window). Override via `BEDESTEN_RATE_CAPACITY` / `BEDESTEN_RATE_REFILL_S`. |
| Yargıtay Primary | Unknown | Official government API |
| Danıştay | Unknown | Official government API |
| Anayasa Mahkemesi | Unknown | Constitutional Court API |
| KİK v2 | Unknown | Public Procurement Authority API |
| Rekabet Kurumu | Unknown | Competition Authority API |
| Sayıştay | Unknown | Court of Accounts API |
| Uyuşmazlık | Unknown | Jurisdictional Disputes Court API |
| Emsal | Unknown | UYAP Precedent Database API |
| KVKK (Brave) | 1,000/month | Brave Search API free tier limit |
| BDDK | Unknown | Banking Regulation API |
**Recommendations:**
- Implement client-side caching for repeated queries
- Use pagination parameters to limit result sizes
- Space out requests during bulk operations
- Consider implementing retry logic with exponential backoff
### OAuth Authentication Configuration
The server uses **Clerk JWT tokens** for all authentication. **Cross-origin authentication** is implemented using Bearer JWT tokens as per Clerk's best practices.
@@ -971,9 +994,10 @@ curl -s -X POST http://127.0.0.1:8000/mcp/ \
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "search_anayasa_norm_denetimi_decisions",
"name": "search_anayasa_unified",
"arguments": {
"keywords_all": ["eğitim hakkı"],
"decision_type": "norm_denetimi",
"keywords": ["eğitim hakkı"],
"results_per_page": 3
}
},
@@ -2054,7 +2078,7 @@ build-backend = "setuptools.build_meta"
### Current Tool Architecture (Updated)
**Total Tools**: 21 MCP tools across 9 legal institutions (Production Verified ✅)
**Total Tools**: 28 active MCP tools + 1 optional semantic search tool (`search_bedesten_semantic`), plus Deep Research helpers (`search`, `fetch`) and `check_government_servers_health` (Production Verified ✅)
**Legal Database Coverage**:
1. **Yargıtay**: ❌ ~~2 tools~~ → Use Bedesten unified instead (DEACTIVATED)
@@ -2066,10 +2090,24 @@ build-backend = "setuptools.build_meta"
7. **KİK**: 2 tools (search + document) - **v2 API with three decision types: uyusmazlik, duzenleyici, mahkeme** ✅
8. **Competition Authority**: 2 tools (search + document)
9. **KVKK**: 2 tools (search + document)
10. **Sayıştay**: 4 tools (3 search types + document)
10. **Sayıştay**: 2 tools (unified search + unified document)
11. **BDDK**: 2 tools (search + document) - Tavily API integration
12. **BTK**: 2 tools (search + document) - **NEW** Official BTK JSON API + PDF-to-Markdown
13. **GİB Özelge**: 2 tools (search + document) - Official GİB JSON API
14. **Sigorta Tahkim**: 3 tools (search + document + within-issue search)
### Recent Updates
#### ✅ BTK Module Added (Completed - Jul 4, 2026)
- **PR**: #31 (ab-ihsanoglu) merged into `main` - adds `btk_mcp_module/` (client + models + `__init__`)
- **Institution**: BTK (Bilgi Teknolojileri ve İletişim Kurumu / Information and Communication Technologies Authority) Board decisions
- **Data source**: Official BTK JSON API — `GET https://www.btk.tr/api/content/board-decisions` (list); decision PDFs served from `https://www.btk.gov.tr/...` and converted to Markdown via MarkItDown (5,000-char pagination)
- **New tools**:
- `search_btk_decisions(keywords, decision_no, decision_date, publication_date, relevant_unit, page, pageSize)` — filters + pagination (`pageSize` 1-50)
- `get_btk_document_markdown(pdf_url, page_number)` — paginated Markdown; `pdf_url` comes from the search result's `pdf_url` field; URL validated to start with `https://www.btk.gov.tr/` or `https://www.btk.tr/`
- **Integration**: Follows existing module patterns (async httpx client, empty-string defaults, null-safe parsing, `close_client_session()` wired into `perform_cleanup()`); registered in `mcp_server_main.py`, `asgi_app.py`, `Dockerfile`, `pyproject.toml`
- **Verification**: Both tools verified live via the BTK client — search returned real results (118 hits / 40 pages for "numara"), document retrieval converted a real decision PDF (`2023/TK-YED/40`) to Markdown
#### ✅ Bedesten API Unification (Completed)
- **Before**: 10 separate tools for different court types
- **After**: 2 unified tools supporting all court types
@@ -2082,6 +2120,21 @@ build-backend = "setuptools.build_meta"
- **Benefits**: Single interface, auto-detection, simplified usage
- **Tools**: search_anayasa_unified + get_anayasa_document_unified
#### ✅ AYM & Uyuşmazlık API Rewrites (Completed - Jun 30, 2026)
- **Issue**: Both sites were rebuilt; their old endpoints now return HTTP 404, breaking `search_anayasa_unified`, `get_anayasa_document_unified`, `search_uyusmazlik_decisions`, and `get_uyusmazlik_document_markdown_from_url`.
- **AYM (Anayasa Mahkemesi)** — migrated to a single-page app (`/kbb/`) backed by a **JSON API** shared by both hosts:
- Endpoint: `POST /api/core/public/search`
- List: `{kararTipi, query, page, size}` → `{total, page, data:[...], page_size}` (page is 1-indexed)
- Document: `{kararTipi, id, page:1, size:1}` → `data[0].icerik` (full decision HTML)
- `kararTipi`: `NormDenetimi`, `BireyselBasvuru` (others: SiyasiParti, YasamaDokunulmazligi, YuceDivan, Tumu)
- Old `/Ara` (HTML scrape) and `/ND/`, `/BB/` document pages are **gone**.
- New shared low-level client: `anayasa_mcp_module/api_client.py`. Document URLs are SPA links carrying `?type=<kararTipi>&id=<base64url("kbb:"+uuid)>`.
- **Uyuşmazlık Mahkemesi** — migrated to **ASP.NET WebForms**:
- Flow: GET `/` → scrape `__VIEWSTATE`/`__VIEWSTATEGENERATOR`/`__EVENTVALIDATION`; POST `/` with `txtSearch`, `rblSearchScope` (`All`/`EsasNo`/`KararNo`), optional `chkCaseSensitive`, `btnSearch=Ara`; results in `<table id="GridView1">`; pager via `__doPostBack('GridView1','Page$N')`.
- Documents are PDFs at `/Uploads/{EsasNo}.pdf` (slash → dash), converted with MarkItDown.
- The old `/Arama/Search` AJAX endpoint and the rich Bölüm/Uyuşmazlık Türü/Esas-Karar/Karar Sonucu filters are **gone**; the tool now exposes `icerik`, `search_scope`, `case_sensitive`, `page_number`.
- **Verification**: All four tools verified live via FastMCP client (search + document retrieval for AYM norm/bireysel and Uyuşmazlık).
#### 🔄 Sayıştay Module (Available, Active)
- **Module**: `sayistay_mcp_module/` - Complete implementation
- **Status**: 4 tools active and operational
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@@ -1,34 +1,54 @@
# -------- BASE IMAGE (includes Chromium & deps) ----------------------------
FROM mcr.microsoft.com/playwright/python:v1.53.0-noble
# Use Python 3.12 slim image
FROM python:3.12-slim
# -------- Runtime setup ----------------------------------------------------
# Set working directory
WORKDIR /app
# Copy dependency manifests first for layer-cache
COPY pyproject.toml poetry.lock* requirements*.txt* ./
# Install system dependencies (gcc/g++ kept in case any wheel falls back to source build)
RUN apt-get update && apt-get install -y --no-install-recommends \
gcc \
g++ \
&& rm -rf /var/lib/apt/lists/*
# Fast, deterministic install with `uv`
RUN pip install --no-cache-dir uv && \
uv pip install --system --no-cache-dir . && \
uv pip install --system --no-cache-dir .[asgi,saas]
# Copy project metadata first for better Docker layer caching
COPY pyproject.toml ./
COPY README.md ./
# Cache buster - force rebuild
ARG CACHE_BUST=202510061202
RUN echo "Cache bust: $CACHE_BUST"
# Copy entry points
COPY app.py ./
COPY asgi_app.py ./
COPY mcp_server_main.py ./
# Copy application source
COPY . .
# Copy MCP modules and shared packages
COPY anayasa_mcp_module ./anayasa_mcp_module
COPY bddk_mcp_module ./bddk_mcp_module
COPY bedesten_mcp_module ./bedesten_mcp_module
COPY btk_mcp_module ./btk_mcp_module
COPY danistay_mcp_module ./danistay_mcp_module
COPY emsal_mcp_module ./emsal_mcp_module
COPY gib_mcp_module ./gib_mcp_module
COPY kik_mcp_module ./kik_mcp_module
COPY kvkk_mcp_module ./kvkk_mcp_module
COPY rekabet_mcp_module ./rekabet_mcp_module
COPY sayistay_mcp_module ./sayistay_mcp_module
COPY sigorta_tahkim_mcp_module ./sigorta_tahkim_mcp_module
COPY uyusmazlik_mcp_module ./uyusmazlik_mcp_module
COPY yargitay_mcp_module ./yargitay_mcp_module
COPY semantic_search ./semantic_search
# -------- Environment ------------------------------------------------------
ENV PYTHONUNBUFFERED=1
ENV ENABLE_AUTH=true
ENV PORT=8000
# -------- Health check -----------------------------------------------------
HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \
CMD python -c "import httpx, os, sys; r=httpx.get(f'http://localhost:{os.getenv(\"PORT\",\"8000\")}/health'); sys.exit(0 if r.status_code==200 else 1)"
# Install the package with ASGI extras (uvicorn + starlette)
RUN pip install --no-cache-dir -e ".[asgi]"
# Expose port
EXPOSE 8000
# -------- Entrypoint -------------------------------------------------------
CMD ["uvicorn", "asgi_app:app", "--host", "0.0.0.0", "--port", "8000", "--proxy-headers"]
# Set environment variables
ENV PORT=8000
ENV PYTHONUNBUFFERED=1
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD python -c "import httpx; httpx.get('http://localhost:8000/health', timeout=5)" || exit 1
# Run the ASGI application
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
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web: uvicorn asgi_app:app --host 0.0.0.0 --port $PORT
+256 -28
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@@ -1,8 +1,24 @@
# Yargı MCP: Türk Hukuk Kaynakları için MCP Sunucusu
> ## ✨ Profesyonel Sürüm Hazır: Yargı MCP Pro
>
> **Mevzuat ve içtihatı tek bir MCP sunucusunda birleştiren** profesyonel sürüm yayında:
>
> 👉 **https://yargi.betaspacestudio.com**
> ## 🚨 SUNUCU YENİ ADRESE TAŞINDI
>
> **Yeni Remote MCP adresi:** `https://yargimcp.surucu.dev/mcp`
>
> **Eski adres** (`https://yargimcp.fastmcp.app/mcp`) **artık kullanım dışıdır** — yalnızca taşındığını bildiren bir uyarı tool'u döner.
>
> **Yapmanız gereken:** MCP istemcinizdeki (Claude Desktop, 5ire, Google Antigravity, ChatGPT vb.) sunucu URL'sini yukarıdaki yeni adresle güncelleyin.
## Word'den UDF'ye profesyonel dönüşüm için yeni uygulamam [udfcevir.com](https://udfcevir.com) adresinde!
[![Star History Chart](https://api.star-history.com/svg?repos=saidsurucu/yargi-mcp&type=Date)](https://www.star-history.com/#saidsurucu/yargi-mcp&Date)
Bu proje, çeşitli Türk hukuk kaynaklarına (Yargıtay, Danıştay, Emsal Kararlar, Uyuşmazlık Mahkemesi, Anayasa Mahkemesi - Norm Denetimi ile Bireysel Başvuru Kararları, Kamu İhale Kurulu Kararları, Rekabet Kurumu Kararları, Sayıştay Kararları, KVKK Kararları ve BDDK Kararları) erişimi kolaylaştıran bir [FastMCP](https://gofastmcp.com/) sunucusu oluşturur. Bu sayede, bu kaynaklardan veri arama ve belge getirme işlemleri, Model Context Protocol (MCP) destekleyen LLM (Büyük Dil Modeli) uygulamaları (örneğin Claude Desktop veya [5ire](https://5ire.app)) ve diğer istemciler tarafından araç (tool) olarak kullanılabilir hale gelir.
Bu proje, çeşitli Türk hukuk kaynaklarına (Yargıtay, Danıştay, Emsal Kararlar, Uyuşmazlık Mahkemesi, Anayasa Mahkemesi - Norm Denetimi ile Bireysel Başvuru Kararları, Kamu İhale Kurulu Kararları, Rekabet Kurumu Kararları, Sayıştay Kararları, KVKK Kararları, BDDK Kararları, BTK Kararları, GİB Özelgeleri ve Sigorta Tahkim Komisyonu Kararları) erişimi kolaylaştıran bir [FastMCP](https://gofastmcp.com/) sunucusu oluşturur. Bu sayede, bu kaynaklardan veri arama ve belge getirme işlemleri, Model Context Protocol (MCP) destekleyen LLM (Büyük Dil Modeli) uygulamaları (örneğin Claude Desktop veya [5ire](https://5ire.app)) ve diğer istemciler tarafından araç (tool) olarak kullanılabilir hale gelir.
---
@@ -10,19 +26,76 @@ Bu proje, çeşitli Türk hukuk kaynaklarına (Yargıtay, Danıştay, Emsal Kara
### ✅ Kurulum Gerektirmez! Hemen Kullan!
🔗 **Remote MCP Adresi:** `https://yargimcp.fastmcp.app/mcp`
🔗 **Remote MCP Adresi:** `https://yargimcp.surucu.dev/mcp`
### Claude Desktop ile Kullanım
> ⚠️ **Eski adres** `https://yargimcp.fastmcp.app/mcp` **artık kullanım dışıdır** — yalnızca taşındığını bildiren bir uyarı tool'u döner. Lütfen yukarıdaki yeni adresi kullanın.
### Claude Desktop ile Kullanım (Ücretli abonelik gerekir)
1. **Claude Desktop'ı açın**
2. **Settings → Connectors → Add Custom Connector**
3. **Bilgileri girin:**
- **Name:** `Yargı MCP`
- **URL:** `https://yargimcp.fastmcp.app/mcp`
- **URL:** `https://yargimcp.surucu.dev/mcp`
4. **Add** butonuna tıklayın
5. **Hemen kullanmaya başlayın!** 🎉
> 💡 **İpucu:** Remote MCP sayesinde Python, uv veya herhangi bir kurulum yapmadan doğrudan Claude Desktop üzerinden Türk hukuk kaynaklarına erişebilirsiniz!
### Google Antigravity ile Kullanım (Lokal `uv` Kurulumu — Kopyala-Yapıştır)
> **Ön Gereksinimler:** Bilgisayarınızda **Python**, **`uv`** ([kurulum](https://docs.astral.sh/uv/getting-started/installation/)) ve **Node.js** ([indir](https://nodejs.org/en/download)) kurulu olmalı. (Node.js yalnızca aşağıdaki kurulum komutunu çalıştırmak için gerekir; MCP'yi `uvx` çalıştırır.)
Aşağıdaki **bloğun tamamını** terminale yapıştırın. Komut, Antigravity'nin okuduğu `~/.gemini/config/mcp_config.json` dosyasını sizin yerinize oluşturur/günceller (varsa diğer sunucularınız korunur):
**macOS / Linux** (Terminal):
```bash
node - <<'YARGI'
const fs=require("fs"),os=require("os"),path=require("path");
const dir=path.join(os.homedir(),".gemini","config"),file=path.join(dir,"mcp_config.json");
fs.mkdirSync(dir,{recursive:true});
let cfg={};try{cfg=JSON.parse(fs.readFileSync(file,"utf8"))}catch{}
if(typeof cfg!=="object"||cfg===null||Array.isArray(cfg))cfg={};
if(typeof cfg.mcpServers!=="object"||cfg.mcpServers===null)cfg.mcpServers={};
cfg.mcpServers["yargi-mcp"]={command:"uvx",args:["yargi-mcp"]};
fs.writeFileSync(file,JSON.stringify(cfg,null,2)+"\n");
console.log("yargi-mcp eklendi -> "+file);
YARGI
```
**Windows** (PowerShell):
```powershell
@'
const fs=require("fs"),os=require("os"),path=require("path");
const dir=path.join(os.homedir(),".gemini","config"),file=path.join(dir,"mcp_config.json");
fs.mkdirSync(dir,{recursive:true});
let cfg={};try{cfg=JSON.parse(fs.readFileSync(file,"utf8"))}catch{}
if(typeof cfg!=="object"||cfg===null||Array.isArray(cfg))cfg={};
if(typeof cfg.mcpServers!=="object"||cfg.mcpServers===null)cfg.mcpServers={};
cfg.mcpServers["yargi-mcp"]={command:"uvx",args:["yargi-mcp"]};
fs.writeFileSync(file,JSON.stringify(cfg,null,2)+"\n");
console.log("yargi-mcp eklendi -> "+file);
'@ | node -
```
Komut `yargi-mcp eklendi -> ...` çıktısını verdiğinde kurulum tamamlanmıştır. Antigravity'yi (açıksa kapatıp) yeniden başlatın; `yargi-mcp` araçları otomatik yüklenir.
> 💡 **İpucu:** Lokal kurulumda hukuk kaynaklarına erişim doğrudan bilgisayarınızda `uvx yargi-mcp` ile çalışır; uzaktan sunucuya ihtiyaç duymaz.
### Remote MCP Sorun Giderme
`https://yargimcp.surucu.dev/mcp` bir web sayfası değil, Streamable HTTP MCP uç noktasıdır. Tarayıcıda açınca veya düz `curl` ile GET isteği atınca `406 Not Acceptable` ve `Client must accept text/event-stream` benzeri bir yanıt görmek normaldir; bu, sunucunun kapalı olduğu anlamına gelmez. MCP istemcisi `Accept: application/json, text/event-stream` başlığıyla JSON-RPC isteği göndermelidir.
Hızlı sağlık kontrolü için tarayıcıda şu adresleri açabilirsiniz:
- `https://yargimcp.surucu.dev/health` — servis sağlık durumu
Claude.ai veya başka bir istemci "araç yok" gibi davranırsa:
1. Connector'ı kaldırıp yeniden ekleyin.
2. URL olarak önce `https://yargimcp.surucu.dev/mcp` deneyin; istemciniz yönlendirmeleri takip etmiyorsa `https://yargimcp.surucu.dev/mcp/` deneyin.
3. Eski `https://yargimcp.fastmcp.app/mcp` adresinin istemci ayarlarında veya önbellekte kalmadığından emin olun.
4. İstemcinin remote/Streamable HTTP MCP desteklediğini ve `text/event-stream` kabul ettiğini kontrol edin.
---
@@ -52,6 +125,9 @@ Bu proje, çeşitli Türk hukuk kaynaklarına (Yargıtay, Danıştay, Emsal Kara
* **Sayıştay:** 3 karar türü ile kapsamlı denetim kararlarına erişim + **8 Daire Filtreleme** + **Tarih Aralığı & İçerik Arama** (Genel Kurul yorumlayıcı kararları, Temyiz Kurulu itiraz kararları, Daire ilk derece denetim kararları)
* **KVKK (Kişisel Verilerin Korunması Kurulu):** Brave Search API ile veri koruma kararlarını arama; uzun karar metinlerini (5.000 karakterlik) sayfalanmış Markdown formatında getirme + **Türkçe Arama** + **Site Hedeflemeli Arama** (kvkk.gov.tr kararları)
* **BDDK (Bankacılık Düzenleme ve Denetleme Kurumu):** Bankacılık düzenleme kararlarını arama; karar metinlerini Markdown formatında getirme + **Optimized Search** + **"Karar Sayısı" Targeting** + **Spesifik URL Filtreleme** (bddk.org.tr/Mevzuat/DokumanGetir)
* **BTK (Bilgi Teknolojileri ve İletişim Kurumu):** Kurul Kararlarını arama (anahtar kelime + karar no + karar tarihi + yayın tarihi + ilgili birim filtreleri); karar PDF'lerini (5.000 karakterlik) sayfalanmış Markdown formatında getirme (btk.gov.tr)
* **GİB (Gelir İdaresi Başkanlığı) Özelgeleri:** Resmi vergi özelgelerini arama (18.000+ özelge: KDV, Kurumlar, Gelir, ÖTV, Damga vb.); tam metni sayfalanmış Markdown formatında getirme + **Keyword + Özelge No + Kanun No + Tarih Aralığı** + **Otomatik ISO 8601 Dönüşümü** + **Metadata Başlık Bloğu**
* **Sigorta Tahkim Komisyonu:** Hakem Karar Dergisi (64 sayı, 2010-2025) içindeki sigorta tahkim kararlarını arama; dergi PDF'lerini Markdown formatında getirme + **Sayı İçi Karar Arama** + **Türkçe Büyük/Küçük Harf Desteği** + **Relevance Scoring**
* Karar metinlerinin daha kolay işlenebilmesi için Markdown formatına çevrilmesi.
* Claude Desktop uygulaması ile `fastmcp install` komutu kullanılarak kolay entegrasyon.
@@ -86,26 +162,64 @@ Bu bölüm, Yargı MCP aracını 5ire gibi Claude Desktop dışındaki MCP istem
---
<details>
<summary>⚙️ <strong>Claude Desktop Manuel Kurulumu</strong></summary>
<summary>⚙️ <strong>Claude Desktop Lokal Kurulumu (Kopyala-Yapıştır)</strong></summary>
1. **Ön Gereksinimler:** Python, `uv`, (Windows için) Microsoft Visual C++ Redistributable'ın sisteminizde kurulu olduğundan emin olun. Detaylı bilgi için yukarıdaki "5ire için Kurulum" bölümündeki ilgili adımlara bakabilirsiniz.
2. Claude Desktop **Settings -> Developer -> Edit Config**.
3. Açılan `claude_desktop_config.json` dosyasına `mcpServers` altına ekleyin:
> **Ön Gereksinimler:** Bilgisayarınızda **Python**, **`uv`** ([kurulum](https://docs.astral.sh/uv/getting-started/installation/)), **Node.js** ([indir](https://nodejs.org/en/download)) ve (Windows için) Microsoft Visual C++ Redistributable kurulu olmalı. (Node.js yalnızca aşağıdaki kurulum komutunu çalıştırmak için gerekir; MCP'yi `uvx` çalıştırır.)
Aşağıdaki **bloğun tamamını** terminale yapıştırın. Komut, Claude Desktop'ın `claude_desktop_config.json` dosyasını sizin yerinize oluşturur/günceller (varsa diğer sunucularınız korunur):
**macOS / Linux** (Terminal):
```bash
node - <<'YARGI'
const fs=require("fs"),os=require("os"),path=require("path");
const dir=process.platform==="darwin"
? path.join(os.homedir(),"Library","Application Support","Claude")
: path.join(os.homedir(),".config","Claude");
const file=path.join(dir,"claude_desktop_config.json");
fs.mkdirSync(dir,{recursive:true});
let cfg={};try{cfg=JSON.parse(fs.readFileSync(file,"utf8"))}catch{}
if(typeof cfg!=="object"||cfg===null||Array.isArray(cfg))cfg={};
if(typeof cfg.mcpServers!=="object"||cfg.mcpServers===null)cfg.mcpServers={};
cfg.mcpServers["yargi-mcp"]={command:"uvx",args:["yargi-mcp"]};
fs.writeFileSync(file,JSON.stringify(cfg,null,2)+"\n");
console.log("yargi-mcp eklendi -> "+file);
YARGI
```
**Windows** (PowerShell):
```powershell
@'
const fs=require("fs"),os=require("os"),path=require("path");
const dir=path.join(process.env.APPDATA||path.join(os.homedir(),"AppData","Roaming"),"Claude");
const file=path.join(dir,"claude_desktop_config.json");
fs.mkdirSync(dir,{recursive:true});
let cfg={};try{cfg=JSON.parse(fs.readFileSync(file,"utf8"))}catch{}
if(typeof cfg!=="object"||cfg===null||Array.isArray(cfg))cfg={};
if(typeof cfg.mcpServers!=="object"||cfg.mcpServers===null)cfg.mcpServers={};
cfg.mcpServers["yargi-mcp"]={command:"uvx",args:["yargi-mcp"]};
fs.writeFileSync(file,JSON.stringify(cfg,null,2)+"\n");
console.log("yargi-mcp eklendi -> "+file);
'@ | node -
```
Komut `yargi-mcp eklendi -> ...` çıktısını verdiğinde kurulum tamamlanmıştır. **Claude Desktop'ı tamamen kapatıp yeniden başlatın**; `yargi-mcp` araçları otomatik yüklenir.
---
**Manuel alternatif:** Claude Desktop **Settings → Developer → Edit Config** menüsünden `claude_desktop_config.json` dosyasını açıp `mcpServers` altına ekleyebilirsiniz:
```json
{
"mcpServers": {
// ... (varsa diğer sunucularınız) ...
"Yargı MCP": {
"yargi-mcp": {
"command": "uvx",
"args": [
"yargi-mcp"
]
"args": ["yargi-mcp"]
}
}
}
```
4. Claude Desktop'ı kapatıp yeniden başlatın.
</details>
@@ -154,10 +268,110 @@ Yargı MCP'yi Gemini CLI ile kullanmak için:
</details>
---
<details>
<summary>🧠 <strong>Semantik Arama (Opsiyonel)</strong></summary>
Yargı MCP, **semantik arama** özelliği ile kararları anlamsal olarak sıralayabilir. Opsiyoneldir; iki yoldan biri yapılandırıldığında otomatik etkinleşir:
- **Yerel** (önerilen, ücretsiz): kendi makinenizdeki OpenAI-uyumlu embedding sunucusu (HuggingFace TEI, llama.cpp, Ollama, vLLM, LM Studio…)
- **Hosted**: OpenRouter API anahtarı
### Semantik Arama Nasıl Çalışır?
1. `initial_keyword` ile Bedesten API'den 100 karar çekilir
2. `query` ile bu kararlar embedding modeli kullanılarak anlamsal olarak sıralanır
3. En alakalı kararlar döndürülür
### Önerilen Türkçe Kurulumu (Yerel — `multilingual-e5-large`)
`intfloat/multilingual-e5-large` Türkçe için kıyas ettiğimiz açık kaynak modeller arasında en iyilerinden. HuggingFace'in **Text Embeddings Inference (TEI)** sunucusuyla tek komutta ayağa kalkar ve OpenAI-uyumlu API sunar:
```bash
docker run -p 8080:80 ghcr.io/huggingface/text-embeddings-inference:latest \
--model-id intfloat/multilingual-e5-large
```
Sonra Yargı MCP'ye şu env vars'ları geçirin:
```bash
EMBEDDING_PROVIDER=local
LOCAL_EMBEDDING_BASE_URL=http://localhost:8080/v1
LOCAL_EMBEDDING_MODEL=intfloat/multilingual-e5-large
LOCAL_EMBEDDING_DIMENSION=1024
EMBEDDING_PROMPT_STYLE=e5
```
> ⚠️ **Önemli:** `EMBEDDING_PROMPT_STYLE=e5` şart — e5 modelleri `query:` / `passage:` öneki bekleyecek şekilde eğitilmiştir; yanlış önek sessizce kaliteyi düşürür.
#### Claude Desktop örneği (yerel TEI)
```json
{
"mcpServers": {
"Yargı MCP": {
"command": "uvx",
"args": ["yargi-mcp"],
"env": {
"EMBEDDING_PROVIDER": "local",
"LOCAL_EMBEDDING_BASE_URL": "http://localhost:8080/v1",
"LOCAL_EMBEDDING_MODEL": "intfloat/multilingual-e5-large",
"LOCAL_EMBEDDING_DIMENSION": "1024",
"EMBEDDING_PROMPT_STYLE": "e5"
}
}
}
}
```
### Alternatif 1: Ollama (yerel, daha hafif kurulum)
```bash
ollama serve
ollama pull nomic-embed-text # 768 dim, İngilizce ağırlıklı
```
```bash
EMBEDDING_PROVIDER=local
LOCAL_EMBEDDING_BASE_URL=http://localhost:11434/v1
LOCAL_EMBEDDING_MODEL=nomic-embed-text
LOCAL_EMBEDDING_DIMENSION=768
EMBEDDING_PROMPT_STYLE=raw
```
> Ollama kütüphanesinde `multilingual-e5-large` doğrudan yok; Türkçe için TEI yolu daha doğru sonuç verir.
### Alternatif 2: OpenRouter (hosted)
```bash
OPENROUTER_API_KEY=sk-or-v1-xxx...
# İsteğe bağlı — varsayılan google/gemini-embedding-001 (3072 dim, ÜCRETLİ)
# OPENROUTER_EMBEDDING_MODEL=...
# OPENROUTER_EMBEDDING_DIMENSION=...
# EMBEDDING_PROMPT_STYLE=gemini # varsayılan
```
API anahtarınızı [openrouter.ai/keys](https://openrouter.ai/keys) adresinden alın. Varsayılan model `google/gemini-embedding-001` artık ücretli — ücretsiz bir model seçerseniz `OPENROUTER_EMBEDDING_MODEL`, `OPENROUTER_EMBEDDING_DIMENSION` ve uygun `EMBEDDING_PROMPT_STYLE` değerlerini birlikte ayarlayın.
### Yapılandırma Referansı
| Env Var | Açıklama | Örnek |
|---|---|---|
| `EMBEDDING_PROVIDER` | `local` ise yerel sunucu, boş ise OpenRouter | `local` |
| `EMBEDDING_PROMPT_STYLE` | `gemini` / `e5` / `raw` — modelin beklediği önek | `e5` |
| `LOCAL_EMBEDDING_BASE_URL` | Yerel sunucunun OpenAI-uyumlu URL'i | `http://localhost:8080/v1` |
| `LOCAL_EMBEDDING_MODEL` | Model adı | `intfloat/multilingual-e5-large` |
| `LOCAL_EMBEDDING_DIMENSION` | Modelin çıktı boyutu (mutlaka eşleşmeli) | `1024` |
| `OPENROUTER_API_KEY` | OpenRouter anahtarı (sadece hosted için) | `sk-or-v1-…` |
| `OPENROUTER_EMBEDDING_MODEL` | OpenRouter model id'si | `google/gemini-embedding-001` |
| `OPENROUTER_EMBEDDING_DIMENSION` | OpenRouter modelinin çıktı boyutu | `3072` |
> 💡 **Not:** Hiçbir embedding sağlayıcı yapılandırılmazsa semantik arama aracı görünmez, diğer 28 araç normal şekilde çalışır.
</details>
<details>
<summary>🛠️ <strong>Kullanılabilir Araçlar (MCP Tools)</strong></summary>
Bu FastMCP sunucusu **19 optimize edilmiş MCP aracı** sunar (token verimliliği için optimize edilmiş):
Bu FastMCP sunucusu **26 aktif MCP aracı** + **1 opsiyonel semantik arama aracı** sunar (token verimliliği için optimize edilmiş):
### **Yargıtay Araçları (Birleşik Bedesten API - Token Optimized)**
*Not: Yargıtay araçları token verimliliği için birleşik Bedesten API'ye entegre edilmiştir*
@@ -182,8 +396,8 @@ Bu FastMCP sunucusu **19 optimize edilmiş MCP aracı** sunar (token verimliliğ
8. `get_anayasa_document_unified(document_url, page_number)`: AYM kararlarını birleşik belge getirme - **sayfalanmış Markdown** içeriği
### **KİK (Kamu İhale Kurulu) Araçları**
9. `search_kik_decisions(karar_tipi, ...)`: KİK (Kamu İhale Kurulu) kararlarını arar.
10. `get_kik_document_markdown(karar_id, page_number)`: Belirli bir KİK kararını, Base64 ile encode edilmiş `karar_id`'sini kullanarak alır ve **sayfalanmış Markdown** içeriğini getirir.
9. `search_kik_v2_decisions(decision_type, karar_metni, karar_no, basvuran, idare_adi, baslangic_tarihi, bitis_tarihi)`: KİK v2 API ile uyuşmazlık, düzenleyici ve mahkeme kararlarını arar.
10. `get_kik_v2_document_markdown(gundemMaddesiId)`: Arama sonucundaki `gundemMaddesiId` ile KİK karar metnini Markdown formatında getirir.
### **Rekabet Kurumu Araçları**
    * `search_rekabet_kurumu_decisions(KararTuru: Literal[...], ...) -> RekabetSearchResult`: Rekabet Kurumu kararlarını arar. `KararTuru` için kullanıcı dostu isimler kullanılır (örn: "Birleşme ve Devralma").
    * `get_rekabet_kurumu_document(karar_id: str, page_number: Optional[int] = 1) -> RekabetDocument`: Belirli bir Rekabet Kurumu kararını `karar_id` ile alır. Kararın PDF formatındaki orijinalinden istenen sayfayı ayıklar ve Markdown formatında döndürür.
@@ -191,22 +405,36 @@ Bu FastMCP sunucusu **19 optimize edilmiş MCP aracı** sunar (token verimliliğ
---
* **Sayıştay Araçları (3 Karar Türü + 8 Daire Filtreleme):**
* `search_sayistay_genel_kurul(karar_no, karar_tarih_baslangic, karar_tamami, ...)`: Sayıştay Genel Kurul (yorumlayıcı) kararlarını arar. **Tarih aralığı** (2006-2024) + **İçerik arama** (400 karakter)
* `search_sayistay_temyiz_kurulu(ilam_dairesi, kamu_idaresi_turu, temyiz_karar, ...)`: Temyiz Kurulu (itiraz) kararlarını arar. **8 Daire filtreleme** + **Kurum türü** + **Konu sınıflandırması**
* `search_sayistay_daire(yargilama_dairesi, web_karar_metni, hesap_yili, ...)`: Daire (ilk derece denetim) kararlarını arar. **8 Daire filtreleme** + **Hesap yılı** + **İçerik arama**
* `get_sayistay_genel_kurul_document_markdown(decision_id: str)`: Genel Kurul kararının tam metnini Markdown formatında getirir
* `get_sayistay_temyiz_kurulu_document_markdown(decision_id: str)`: Temyiz Kurulu kararının tam metnini Markdown formatında getirir
* `get_sayistay_daire_document_markdown(decision_id: str)`: Daire kararının tam metnini Markdown formatında getirir
* **Sayıştay Araçları (Birleşik API, 3 Karar Türü + 8 Daire Filtreleme):**
* `search_sayistay_unified(decision_type, start, length, ...)`: `genel_kurul`, `temyiz_kurulu` veya `daire` kararlarını tek araçla arar. `length` 1-100 aralığındadır.
* `get_sayistay_document_unified(decision_id, decision_type)`: Birleşik arama sonucundaki karar ID'si ve karar türüyle tam metni Markdown formatında getirir.
* **KVKK Araçları (Brave Search API + Türkçe Arama):**
* `search_kvkk_decisions(keywords, page, pageSize, ...)`: KVKK (Kişisel Verilerin Korunması Kurulu) kararlarını Brave Search API ile arar. **Türkçe arama** + **Site hedeflemeli** (`site:kvkk.gov.tr "karar özeti"`) + **Sayfalama desteği**
* `search_kvkk_decisions(keywords, page)`: KVKK (Kişisel Verilerin Korunması Kurulu) kararlarını Brave Search API ile arar. **Türkçe arama** + **Site hedeflemeli** (`site:kvkk.gov.tr "karar özeti"`) + **Sayfalama desteği**. Sonuç sayısı sunucuda 10 olarak sabitlenmiştir.
* `get_kvkk_document_markdown(decision_url: str, page_number: Optional[int] = 1)`: KVKK kararının tam metnini **sayfalanmış Markdown** formatında getirir (5.000 karakterlik sayfa)
### BDDK Araçları
* `search_bddk_decisions(keywords, page)`: BDDK (Bankacılık Düzenleme ve Denetleme Kurumu) kararlarını arar. **"Karar Sayısı" targeting** + **Spesifik URL filtreleme** (`bddk.org.tr/Mevzuat/DokumanGetir`) + **Optimized search**
* `get_bddk_document_markdown(document_id: str, page_number: Optional[int] = 1)`: BDDK kararının tam metnini **sayfalanmış Markdown** formatında getirir (5.000 karakterlik sayfa)
### BTK (Bilgi Teknolojileri ve İletişim Kurumu) Araçları (Resmi BTK JSON API)
* `search_btk_decisions(keywords, decision_no, decision_date, publication_date, relevant_unit, page, pageSize)`: BTK Kurul Kararlarını arar. **Anahtar kelime + Karar No** (ör. `2026/DK-THD/91`) **+ Karar Tarihi + Yayın Tarihi + İlgili Birim** filtreleri + **Sayfalama** (`pageSize` 1-50)
* `get_btk_document_markdown(pdf_url: str, page_number: int = 1)`: BTK kararının PDF'ini indirip **sayfalanmış Markdown** formatında getirir (5.000 karakterlik sayfa). `pdf_url`, `search_btk_decisions` sonucundaki `pdf_url` alanından alınır (`btk.gov.tr`)
### GİB (Gelir İdaresi Başkanlığı) Özelge Araçları (Resmi GİB JSON API)
* `search_gib_ozelge(keywords, ozelgeNo, kanunNo, ozelgeStartDate, ozelgeEndDate, page, pageSize)`: GİB özelgelerini (Türk Gelir İdaresi Başkanlığı vergi özelgeleri) arar — **18.000+ özelge** (KDV, Kurumlar, Gelir, ÖTV, Damga, VUK vb.). **Keyword + Özelge No + Kanun No + Tarih Aralığı** + **Otomatik ISO 8601 Dönüşümü** (`YYYY-MM-DD` girdileri otomatik olarak full ISO 8601'e çevrilir)
* `get_gib_ozelge_document_markdown(ozelge_id: int, page_number: int = 1)`: Belirli bir özelgenin tam metnini **sayfalanmış Markdown** formatında getirir (5.000 karakterlik sayfa) + **Metadata başlık bloğu** (Başlık, Sayı, Tarih, Kanun, Kaynak URL)
### Sigorta Tahkim Komisyonu Araçları (Tavily Search API + PDF)
* `search_sigorta_tahkim_decisions(keywords, page)`: Sigorta Tahkim Komisyonu kararlarını Tavily Search API ile arar. **Site hedeflemeli** (`sigortatahkim.org`) + **Sayfalama desteği**. Sonuç sayısı sunucuda 10 olarak sabitlenmiştir.
* `get_sigorta_tahkim_document_markdown(issue_number: str, page_number: int)`: Hakem Karar Dergisi sayısının PDF'ini indirip **sayfalanmış Markdown** formatında getirir (5.000 karakterlik sayfa). 64 sayı (2010-2025)
* `search_within_sigorta_tahkim_issue(issue_number: str, keyword: str, max_results: int)`: Belirli bir dergi sayısı içindeki kararları anahtar kelime ile arar. **Türkçe İ/I desteği** + **Relevance scoring** + **Excerpt** ile sonuç
### Yardımcı ve Uyumluluk Araçları
* `check_government_servers_health()`: Yargı kaynaklarının erişilebilirliğini kontrol eder.
* `search(query)`: ChatGPT Deep Research uyumluluğu için Bedesten destekli kaynaklarda arama yapar.
* `fetch(id)`: ChatGPT Deep Research uyumluluğu için tek bir Bedesten belge ID'sinin tam metnini getirir.
</details>
---
@@ -221,8 +449,8 @@ Bu FastMCP sunucusu **19 optimize edilmiş MCP aracı** sunar (token verimliliğ
- **Korunan İşlevsellik:** %100 özellik desteği devam ediyor
**GENEL İSTATİSTİKLER:**
- **Toplam Mahkeme/Kurum:** 13 farklı hukuki kurum (KVKK dahil)
- **Toplam MCP Tool:** 19 optimize edilmiş arama ve belge getirme aracı
- **Toplam Mahkeme/Kurum:** 16 farklı hukuki kurum (BTK, GİB Özelgeleri ve Sigorta Tahkim Komisyonu dahil)
- **Toplam MCP Tool:** 28 aktif araç + 1 opsiyonel semantik arama aracı
- **Daire/Kurul Filtreleme:** 87 farklı seçenek (52 Yargıtay + 27 Danıştay + 8 Sayıştay)
- **Tarih Filtreleme:** Birleşik Bedesten API aracında ISO 8601 formatında tam tarih aralığı desteği
- **Kesin Cümle Arama:** Birleşik Bedesten API aracında çift tırnak ile tam cümle arama (`"\"mülkiyet kararı\""` formatı)
+201
View File
@@ -0,0 +1,201 @@
# anayasa_mcp_module/api_client.py
# Low-level client for the new Anayasa Mahkemesi "Kararlar Bilgi Bankası" (KBB) JSON API.
#
# Both the Norm Denetimi host (normkararlarbilgibankasi.anayasa.gov.tr) and the
# Bireysel Başvuru host (kararlarbilgibankasi.anayasa.gov.tr) share the SAME
# backend, exposed at POST /api/core/public/search. The request differs only by
# the "kararTipi" discriminator:
#
# {"kararTipi": "NormDenetimi", "query": "mülkiyet", "page": 1, "size": 10}
# -> {"total": N, "page": 1, "data": [...summary records...], "page_size": 10}
#
# {"kararTipi": "NormDenetimi", "id": "<uuid>", "page": 1, "size": 1}
# -> data[0] additionally includes "icerik" = full decision HTML
#
# The previous HTML-scraping endpoints (/Ara, /ND/.., /BB/..) were retired when
# the sites were rebuilt as a single-page app; they now return HTTP 404.
import base64
import html as html_module
import io
import logging
import re
from typing import Any, Dict, Optional, Tuple
from urllib.parse import urlparse, parse_qs, quote
import httpx
from bs4 import BeautifulSoup
from markitdown import MarkItDown
logger = logging.getLogger(__name__)
# Markdown pagination chunk size (characters), shared across AYM document tools.
DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000
def strip_html_text(value: Optional[str]) -> str:
"""Return plain text from a possibly-HTML field (e.g. kararKonusu)."""
if not value:
return ""
text = BeautifulSoup(html_module.unescape(value), "html.parser").get_text(" ", strip=True)
return re.sub(r"\s+", " ", text).strip()
def convert_icerik_to_markdown(icerik_html: Optional[str]) -> Optional[str]:
"""Convert the "icerik" decision HTML returned by the KBB API to Markdown.
The icerik field is a self-contained HTML fragment (the rendered decision
body). Scripts/styles are stripped before handing it to MarkItDown.
"""
if not icerik_html:
return None
processed_html = html_module.unescape(icerik_html)
soup = BeautifulSoup(processed_html, "html.parser")
for tag in soup.find_all(["script", "style"]):
tag.decompose()
body = soup.find("body")
html_fragment = str(body) if body else str(soup)
if not html_fragment.strip().lower().startswith(("<html", "<!doctype")):
html_fragment = f'<html><head><meta charset="UTF-8"></head><body>{html_fragment}</body></html>'
try:
html_stream = io.BytesIO(html_fragment.encode("utf-8"))
conversion_result = MarkItDown().convert(html_stream)
return conversion_result.text_content
except Exception as e: # pragma: no cover - defensive
logger.error("AnayasaApiClient: MarkItDown conversion error: %s", e)
return None
# kararTipi discriminator values accepted by the API.
KARAR_TIPI_NORM = "NormDenetimi"
KARAR_TIPI_BIREYSEL = "BireyselBasvuru"
NORM_HOST = "https://normkararlarbilgibankasi.anayasa.gov.tr"
BIREYSEL_HOST = "https://kararlarbilgibankasi.anayasa.gov.tr"
SEARCH_PATH = "/api/core/public/search"
# Map kararTipi -> the host whose SPA can display the decision (cosmetic only;
# either host's API answers for any kararTipi).
_HOST_FOR_TIPI = {
KARAR_TIPI_NORM: NORM_HOST,
KARAR_TIPI_BIREYSEL: BIREYSEL_HOST,
}
def encode_document_token(uuid: str) -> str:
"""Encode a raw decision UUID into the base64url token the SPA uses in its URLs.
The SPA addresses decisions as base64url("kbb:" + uuid) (no padding).
"""
raw = f"kbb:{uuid}".encode("utf-8")
return base64.urlsafe_b64encode(raw).decode("ascii").rstrip("=")
def decode_document_token(token: str) -> Optional[str]:
"""Decode a base64url SPA token back into the raw decision UUID.
Returns None if the token is not a valid "kbb:<uuid>" token.
"""
try:
padded = token + "=" * (-len(token) % 4)
decoded = base64.urlsafe_b64decode(padded.encode("ascii")).decode("utf-8")
except Exception:
return None
if decoded.startswith("kbb:"):
return decoded[len("kbb:"):]
return None
def build_document_url(karar_tipi: str, uuid: str) -> str:
"""Build a clickable SPA URL for a decision, used as its document_url."""
host = _HOST_FOR_TIPI.get(karar_tipi, BIREYSEL_HOST)
token = encode_document_token(uuid)
return f"{host}/kbb/pages/search/{karar_tipi}?id={quote(token)}&type={karar_tipi}"
def parse_document_url(document_url: str) -> Tuple[Optional[str], Optional[str]]:
"""Extract (karar_tipi, uuid) from a document URL.
Handles the new SPA URLs (?id=<token>&type=<kararTipi>) and is lenient about
older /ND/ and /BB/ style paths so historical references still resolve.
Returns (None, None) if neither the type nor id can be determined.
"""
parsed = urlparse(document_url)
qs = parse_qs(parsed.query)
karar_tipi = None
type_param = qs.get("type", [None])[0]
path = parsed.path or ""
if type_param in (KARAR_TIPI_NORM, KARAR_TIPI_BIREYSEL):
karar_tipi = type_param
elif "/ND/" in path or "NormDenetimi" in path:
karar_tipi = KARAR_TIPI_NORM
elif "/BB/" in path or "BireyselBasvuru" in path:
karar_tipi = KARAR_TIPI_BIREYSEL
uuid = None
id_param = qs.get("id", [None])[0]
if id_param:
# The id may be the raw uuid or the base64url SPA token.
uuid = decode_document_token(id_param) or id_param
return karar_tipi, uuid
class AnayasaApiClient:
"""Thin async wrapper around the KBB /api/core/public/search endpoint."""
def __init__(self, request_timeout: float = 60.0):
self.http_client = httpx.AsyncClient(
headers={
"Accept": "application/json",
"Content-Type": "application/json",
"Accept-Language": "tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
},
timeout=request_timeout,
verify=True,
follow_redirects=True,
)
def _search_url(self, karar_tipi: str) -> str:
host = _HOST_FOR_TIPI.get(karar_tipi, BIREYSEL_HOST)
return f"{host}{SEARCH_PATH}"
async def search(
self,
karar_tipi: str,
query: str = "",
page: int = 1,
size: int = 10,
) -> Dict[str, Any]:
"""Run a list search and return the parsed JSON envelope.
Envelope shape: {"total": int, "page": int, "data": [..], "page_size": int}.
"""
body: Dict[str, Any] = {"kararTipi": karar_tipi, "page": page, "size": size}
if query:
body["query"] = query
logger.info("AnayasaApiClient: search kararTipi=%s query=%r page=%s size=%s",
karar_tipi, query, page, size)
response = await self.http_client.post(self._search_url(karar_tipi), json=body)
response.raise_for_status()
return response.json()
async def get_decision(self, karar_tipi: str, uuid: str) -> Optional[Dict[str, Any]]:
"""Fetch a single decision record (including the "icerik" HTML) by UUID."""
body = {"kararTipi": karar_tipi, "id": uuid, "page": 1, "size": 1}
logger.info("AnayasaApiClient: get_decision kararTipi=%s id=%s", karar_tipi, uuid)
response = await self.http_client.post(self._search_url(karar_tipi), json=body)
response.raise_for_status()
payload = response.json()
data = payload.get("data") or []
return data[0] if data else None
async def close(self):
if self.http_client and not self.http_client.is_closed:
await self.http_client.aclose()
logger.info("AnayasaApiClient: HTTP client session closed.")
+76 -309
View File
@@ -1,23 +1,27 @@
# anayasa_mcp_module/bireysel_client.py
# This client is for Bireysel Başvuru: https://kararlarbilgibankasi.anayasa.gov.tr
# Bireysel Başvuru client backed by the new KBB JSON API (see api_client.py).
#
# Same backend as Norm Denetimi, distinguished by kararTipi="BireyselBasvuru".
# The legacy /Ara report-scraping endpoint was retired and now returns HTTP 404.
import httpx
from bs4 import BeautifulSoup, Tag
from typing import Dict, Any, List, Optional, Tuple
import logging
import html
import re
import io
from urllib.parse import urlencode, urljoin, quote
from markitdown import MarkItDown
import math # For math.ceil for pagination
import math
from typing import List, Optional
from .api_client import (
AnayasaApiClient,
KARAR_TIPI_BIREYSEL,
DOCUMENT_MARKDOWN_CHUNK_SIZE,
build_document_url,
parse_document_url,
convert_icerik_to_markdown,
strip_html_text,
)
from .models import (
AnayasaBireyselReportSearchRequest,
AnayasaBireyselReportDecisionDetail,
AnayasaBireyselReportDecisionSummary,
AnayasaBireyselReportSearchResult,
AnayasaBireyselBasvuruDocumentMarkdown, # Model for Bireysel Başvuru document
AnayasaBireyselBasvuruDocumentMarkdown,
)
logger = logging.getLogger(__name__)
@@ -26,330 +30,93 @@ if not logger.hasHandlers():
class AnayasaBireyselBasvuruApiClient:
BASE_URL = "https://kararlarbilgibankasi.anayasa.gov.tr"
SEARCH_PATH = "/Ara"
DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000 # Character limit per page
"""Bireysel Başvuru search/document client over the KBB JSON API."""
def __init__(self, request_timeout: float = 60.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
headers={
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
"Accept-Language": "tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
},
timeout=request_timeout,
verify=True,
follow_redirects=True
)
def _build_query_params_for_bireysel_report(self, params: AnayasaBireyselReportSearchRequest) -> List[Tuple[str, str]]:
query_params: List[Tuple[str, str]] = []
query_params.append(("KararBulteni", "1")) # Specific to this report type
if params.keywords:
for kw in params.keywords:
query_params.append(("KelimeAra[]", kw))
if params.page_to_fetch and params.page_to_fetch > 1:
query_params.append(("page", str(params.page_to_fetch)))
return query_params
self.api = AnayasaApiClient(request_timeout)
async def search_bireysel_basvuru_report(
self,
params: AnayasaBireyselReportSearchRequest
params: AnayasaBireyselReportSearchRequest,
) -> AnayasaBireyselReportSearchResult:
final_query_params = self._build_query_params_for_bireysel_report(params)
request_url = self.SEARCH_PATH
query = " ".join(t for t in (params.keywords or []) if t).strip()
payload = await self.api.search(
karar_tipi=KARAR_TIPI_BIREYSEL,
query=query,
page=params.page_to_fetch,
size=getattr(params, "results_per_page", 10),
)
logger.info(f"AnayasaBireyselBasvuruApiClient: Performing Bireysel Başvuru Report search. Path: {request_url}, Params: {final_query_params}")
try:
response = await self.http_client.get(request_url, params=final_query_params)
response.raise_for_status()
html_content = response.text
except httpx.RequestError as e:
logger.error(f"AnayasaBireyselBasvuruApiClient: HTTP request error during Bireysel Başvuru Report search: {e}")
raise
except Exception as e:
logger.error(f"AnayasaBireyselBasvuruApiClient: Error processing Bireysel Başvuru Report search request: {e}")
raise
soup = BeautifulSoup(html_content, 'html.parser')
total_records = None
bulunan_karar_div = soup.find("div", class_="bulunankararsayisi")
if bulunan_karar_div:
match_records = re.search(r'(\d+)\s*Karar Bulundu', bulunan_karar_div.get_text(strip=True))
if match_records:
total_records = int(match_records.group(1))
processed_decisions: List[AnayasaBireyselReportDecisionSummary] = []
report_content_area = soup.find("div", class_="HaberBulteni")
if not report_content_area:
logger.warning("HaberBulteni div not found, attempting to parse decision divs from the whole page.")
report_content_area = soup
decision_divs = report_content_area.find_all("div", class_="KararBulteniBirKarar")
if not decision_divs:
logger.warning("No KararBulteniBirKarar divs found.")
for decision_div in decision_divs:
title_tag = decision_div.find("h4")
title_text = title_tag.get_text(strip=True) if title_tag and title_tag.strong else (title_tag.get_text(strip=True) if title_tag else "")
alti_cizili_div = decision_div.find("div", class_="AltiCizili")
ref_no, dec_type, body, app_date, dec_date, url_path = "", "", "", "", "", ""
if alti_cizili_div:
link_tag = alti_cizili_div.find("a", href=True)
if link_tag:
ref_no = link_tag.get_text(strip=True)
url_path = link_tag['href']
parts_text = alti_cizili_div.get_text(separator="|", strip=True)
parts = [part.strip() for part in parts_text.split("|")]
# Clean ref_no from the first part if it was extracted from link
if ref_no and parts and parts[0].strip().startswith(ref_no):
parts[0] = parts[0].replace(ref_no, "").strip()
if not parts[0]: parts.pop(0) # Remove empty string if ref_no was the only content
# Assign parts based on typical order, adjusting for missing ref_no at start
current_idx = 0
if not ref_no and len(parts) > current_idx and re.match(r"\d+/\d+", parts[current_idx]): # Check if first part is ref_no
ref_no = parts[current_idx]
current_idx += 1
dec_type = parts[current_idx] if len(parts) > current_idx else ""
current_idx += 1
body = parts[current_idx] if len(parts) > current_idx else ""
current_idx += 1
app_date_raw = parts[current_idx] if len(parts) > current_idx else ""
current_idx += 1
dec_date_raw = parts[current_idx] if len(parts) > current_idx else ""
if app_date_raw and "Başvuru Tarihi :" in app_date_raw:
app_date = app_date_raw.replace("Başvuru Tarihi :", "").strip()
elif app_date_raw: # If label is missing but format matches
app_date_match = re.search(r'(\d{1,2}/\d{1,2}/\d{4})', app_date_raw)
if app_date_match: app_date = app_date_match.group(1)
if dec_date_raw and "Karar Tarihi :" in dec_date_raw:
dec_date = dec_date_raw.replace("Karar Tarihi :", "").strip()
elif dec_date_raw: # If label is missing but format matches
dec_date_match = re.search(r'(\d{1,2}/\d{1,2}/\d{4})', dec_date_raw)
if dec_date_match: dec_date = dec_date_match.group(1)
subject_div = decision_div.find(lambda tag: tag.name == 'div' and not tag.has_attr('class') and tag.get_text(strip=True).startswith("BAŞVURU KONUSU :"))
subject_text = subject_div.get_text(strip=True).replace("BAŞVURU KONUSU :", "").strip() if subject_div else ""
details_list: List[AnayasaBireyselReportDecisionDetail] = []
karar_detaylari_div = decision_div.find_next_sibling("div", id="KararDetaylari") # Corrected: was KararDetaylari
if karar_detaylari_div:
table = karar_detaylari_div.find("table", class_="table")
if table and table.find("tbody"):
for row in table.find("tbody").find_all("tr"):
cells = row.find_all("td")
if len(cells) == 4: # Hak, Müdahale İddiası, Sonuç, Giderim
details_list.append(AnayasaBireyselReportDecisionDetail(
hak=cells[0].get_text(strip=True) or "",
mudahale_iddiasi=cells[1].get_text(strip=True) or "",
sonuc=cells[2].get_text(strip=True) or "",
giderim=cells[3].get_text(strip=True) or "",
))
full_decision_page_url = urljoin(self.BASE_URL, url_path) if url_path else ""
processed_decisions.append(AnayasaBireyselReportDecisionSummary(
title=title_text,
decision_reference_no=ref_no,
decision_page_url=full_decision_page_url,
decision_type_summary=dec_type,
decision_making_body=body,
application_date_summary=app_date,
decision_date_summary=dec_date,
application_subject_summary=subject_text,
details=details_list
total_records = int(payload.get("total") or 0)
decisions: List[AnayasaBireyselReportDecisionSummary] = []
for item in payload.get("data") or []:
decisions.append(AnayasaBireyselReportDecisionSummary(
title=item.get("basvuruAdi") or "",
decision_reference_no=item.get("basvuruNo") or "",
decision_page_url=build_document_url(KARAR_TIPI_BIREYSEL, item.get("id", "")),
decision_type_summary=item.get("kararTuruBasvuruSonucuLabel") or "",
decision_making_body=item.get("kararVerenBirimLabel") or "",
application_date_summary=item.get("basvuruTarihi") or "",
decision_date_summary=item.get("kararTarihi") or "",
application_subject_summary=strip_html_text(item.get("kararKonusu")),
details=[],
))
return AnayasaBireyselReportSearchResult(
decisions=processed_decisions,
decisions=decisions,
total_records_found=total_records,
retrieved_page_number=params.page_to_fetch
retrieved_page_number=params.page_to_fetch,
)
def _convert_html_to_markdown_bireysel(self, full_decision_html_content: str) -> Optional[str]:
if not full_decision_html_content:
return None
processed_html = html.unescape(full_decision_html_content)
soup = BeautifulSoup(processed_html, "html.parser")
html_input_for_markdown = ""
karar_tab_content = soup.find("div", id="Karar")
if karar_tab_content:
karar_html_span = karar_tab_content.find("span", class_="kararHtml")
if karar_html_span:
word_section = karar_html_span.find("div", class_="WordSection1")
if word_section:
for s in word_section.select('script, style, .item.col-xs-12.col-sm-12, center:has(b)'):
s.decompose()
html_input_for_markdown = str(word_section)
else:
logger.warning("AnayasaBireyselBasvuruApiClient: WordSection1 not found in span.kararHtml. Using span.kararHtml content.")
for s in karar_html_span.select('script, style, .item.col-xs-12.col-sm-12, center:has(b)'):
s.decompose()
html_input_for_markdown = str(karar_html_span)
else:
logger.warning("AnayasaBireyselBasvuruApiClient: span.kararHtml not found in div#Karar. Using div#Karar content.")
for s in karar_tab_content.select('script, style, .item.col-xs-12.col-sm-12, center:has(b)'):
s.decompose()
html_input_for_markdown = str(karar_tab_content)
else:
logger.warning("AnayasaBireyselBasvuruApiClient: div#Karar (KARAR tab) not found. Trying WordSection1 fallback.")
word_section_fallback = soup.find("div", class_="WordSection1")
if word_section_fallback:
for s in word_section_fallback.select('script, style, .item.col-xs-12.col-sm-12, center:has(b)'):
s.decompose()
html_input_for_markdown = str(word_section_fallback)
else:
body_tag = soup.find("body")
if body_tag:
for s in body_tag.select('script, style, .item.col-xs-12.col-sm-12, center:has(b), .banner, .footer, .yazdirmaalani, .filtreler, .menu, .altmenu, .geri, .arabuton, .temizlebutonu, form#KararGetir, .TabBaslik, #KararDetaylari, .share-button-container'):
s.decompose()
html_input_for_markdown = str(body_tag)
else:
html_input_for_markdown = processed_html
markdown_text = None
try:
# Ensure the content is wrapped in basic HTML structure if it's not already
if not html_input_for_markdown.strip().lower().startswith(("<html", "<!doctype")):
html_content = f"<html><head><meta charset=\"UTF-8\"></head><body>{html_input_for_markdown}</body></html>"
else:
html_content = html_input_for_markdown
# Convert HTML string to bytes and create BytesIO stream
html_bytes = html_content.encode('utf-8')
html_stream = io.BytesIO(html_bytes)
# Pass BytesIO stream to MarkItDown to avoid temp file creation
md_converter = MarkItDown()
conversion_result = md_converter.convert(html_stream)
markdown_text = conversion_result.text_content
except Exception as e:
logger.error(f"AnayasaBireyselBasvuruApiClient: MarkItDown conversion error: {e}")
return markdown_text
async def get_decision_document_as_markdown(
self,
document_url_path: str, # e.g. /BB/2021/20295
page_number: int = 1
document_url_path: str,
page_number: int = 1,
) -> AnayasaBireyselBasvuruDocumentMarkdown:
full_url = urljoin(self.BASE_URL, document_url_path)
logger.info(f"AnayasaBireyselBasvuruApiClient: Fetching Bireysel Başvuru document for Markdown (page {page_number}) from URL: {full_url}")
karar_tipi, uuid = parse_document_url(document_url_path)
if karar_tipi is None:
karar_tipi = KARAR_TIPI_BIREYSEL
basvuru_no_from_page = None
karar_tarihi_from_page = None
basvuru_tarihi_from_page = None
karari_veren_birim_from_page = None
karar_turu_from_page = None
resmi_gazete_info_from_page = None
record = await self.api.get_decision(karar_tipi, uuid) if uuid else None
try:
response = await self.http_client.get(full_url)
response.raise_for_status()
html_content_from_api = response.text
if not isinstance(html_content_from_api, str) or not html_content_from_api.strip():
logger.warning(f"AnayasaBireyselBasvuruApiClient: Received empty HTML from {full_url}.")
if not record:
logger.warning("AnayasaBireyselBasvuruApiClient: No record for %s", document_url_path)
return AnayasaBireyselBasvuruDocumentMarkdown(
source_url=full_url, markdown_chunk=None, current_page=page_number, total_pages=0, is_paginated=False
source_url=document_url_path, markdown_chunk=None,
current_page=page_number, total_pages=0, is_paginated=False,
)
soup = BeautifulSoup(html_content_from_api, 'html.parser')
rg_tarihi = record.get("resmiGazeteTarihi") or ""
rg_sayisi = record.get("resmiGazeteSayisi")
official_gazette = f"{rg_tarihi} / {rg_sayisi}".strip(" /") if (rg_tarihi or rg_sayisi) else None
meta_desc_tag = soup.find("meta", attrs={"name": "description"})
if meta_desc_tag and meta_desc_tag.get("content"):
content = meta_desc_tag["content"]
bn_match = re.search(r"B\.\s*No:\s*([\d\/]+)", content)
if bn_match: basvuru_no_from_page = bn_match.group(1).strip()
date_match = re.search(r"(\d{1,2}\/\d{1,2}\/\d{4}),\s*§", content)
if date_match: karar_tarihi_from_page = date_match.group(1).strip()
karar_detaylari_tab = soup.find("div", id="KararDetaylari")
if karar_detaylari_tab:
table = karar_detaylari_tab.find("table", class_="table")
if table:
rows = table.find_all("tr")
for row in rows:
cells = row.find_all("td")
if len(cells) == 2:
key = cells[0].get_text(strip=True)
value = cells[1].get_text(strip=True)
if "Kararı Veren Birim" in key: karari_veren_birim_from_page = value
elif "Karar Türü (Başvuru Sonucu)" in key: karar_turu_from_page = value
elif "Başvuru No" in key and not basvuru_no_from_page: basvuru_no_from_page = value
elif "Başvuru Tarihi" in key: basvuru_tarihi_from_page = value
elif "Karar Tarihi" in key and not karar_tarihi_from_page: karar_tarihi_from_page = value
elif "Resmi Gazete Tarih / Sayı" in key: resmi_gazete_info_from_page = value
full_markdown_content = self._convert_html_to_markdown_bireysel(html_content_from_api)
if not full_markdown_content:
return AnayasaBireyselBasvuruDocumentMarkdown(
source_url=full_url,
basvuru_no_from_page=basvuru_no_from_page,
karar_tarihi_from_page=karar_tarihi_from_page,
basvuru_tarihi_from_page=basvuru_tarihi_from_page,
karari_veren_birim_from_page=karari_veren_birim_from_page,
karar_turu_from_page=karar_turu_from_page,
resmi_gazete_info_from_page=resmi_gazete_info_from_page,
markdown_chunk=None,
current_page=page_number,
total_pages=0,
is_paginated=False
full_markdown = convert_icerik_to_markdown(record.get("icerik"))
common = dict(
source_url=document_url_path,
basvuru_no_from_page=record.get("basvuruNo"),
karar_tarihi_from_page=record.get("kararTarihi"),
basvuru_tarihi_from_page=record.get("basvuruTarihi"),
karari_veren_birim_from_page=record.get("kararVerenBirimLabel"),
karar_turu_from_page=record.get("kararTuruBasvuruSonucuLabel"),
resmi_gazete_info_from_page=official_gazette,
)
content_length = len(full_markdown_content)
total_pages = math.ceil(content_length / self.DOCUMENT_MARKDOWN_CHUNK_SIZE)
if total_pages == 0: total_pages = 1
current_page_clamped = max(1, min(page_number, total_pages))
start_index = (current_page_clamped - 1) * self.DOCUMENT_MARKDOWN_CHUNK_SIZE
end_index = start_index + self.DOCUMENT_MARKDOWN_CHUNK_SIZE
markdown_chunk = full_markdown_content[start_index:end_index]
if not full_markdown:
return AnayasaBireyselBasvuruDocumentMarkdown(
source_url=full_url,
basvuru_no_from_page=basvuru_no_from_page,
karar_tarihi_from_page=karar_tarihi_from_page,
basvuru_tarihi_from_page=basvuru_tarihi_from_page,
karari_veren_birim_from_page=karari_veren_birim_from_page,
karar_turu_from_page=karar_turu_from_page,
resmi_gazete_info_from_page=resmi_gazete_info_from_page,
markdown_chunk=markdown_chunk,
current_page=current_page_clamped,
total_pages=total_pages,
is_paginated=(total_pages > 1)
**common, markdown_chunk=None, current_page=page_number,
total_pages=0, is_paginated=False,
)
except httpx.RequestError as e:
logger.error(f"AnayasaBireyselBasvuruApiClient: HTTP error fetching Bireysel Başvuru document from {full_url}: {e}")
raise
except Exception as e:
logger.error(f"AnayasaBireyselBasvuruApiClient: General error processing Bireysel Başvuru document from {full_url}: {e}")
raise
total_pages = max(1, math.ceil(len(full_markdown) / DOCUMENT_MARKDOWN_CHUNK_SIZE))
current_page = max(1, min(page_number, total_pages))
start = (current_page - 1) * DOCUMENT_MARKDOWN_CHUNK_SIZE
chunk = full_markdown[start:start + DOCUMENT_MARKDOWN_CHUNK_SIZE]
return AnayasaBireyselBasvuruDocumentMarkdown(
**common, markdown_chunk=chunk, current_page=current_page,
total_pages=total_pages, is_paginated=(total_pages > 1),
)
async def close_client_session(self):
if hasattr(self, 'http_client') and self.http_client and not self.http_client.is_closed:
await self.http_client.aclose()
await self.api.close()
logger.info("AnayasaBireyselBasvuruApiClient: HTTP client session closed.")
+102 -308
View File
@@ -1,356 +1,150 @@
# anayasa_mcp_module/client.py
# This client is for Norm Denetimi: https://normkararlarbilgibankasi.anayasa.gov.tr
# Norm Denetimi client backed by the new KBB JSON API (see api_client.py).
#
# The Anayasa Mahkemesi sites were rebuilt as a single-page app; the old
# HTML-scraping endpoints on normkararlarbilgibankasi.anayasa.gov.tr/Ara now
# return HTTP 404. This client maps the rich legacy request model onto the new
# free-text "query" search and rebuilds the legacy response models from the JSON
# payload so existing tooling keeps working.
import httpx
from bs4 import BeautifulSoup
from typing import Dict, Any, List, Optional, Tuple
import logging
import html
import re
import io
from urllib.parse import urlencode, urljoin, quote
from markitdown import MarkItDown
import math # For math.ceil for pagination
import math
from typing import List, Optional
from .api_client import (
AnayasaApiClient,
KARAR_TIPI_NORM,
DOCUMENT_MARKDOWN_CHUNK_SIZE,
build_document_url,
parse_document_url,
convert_icerik_to_markdown,
strip_html_text,
)
from .models import (
AnayasaNormDenetimiSearchRequest,
AnayasaDecisionSummary,
AnayasaReviewedNormInfo,
AnayasaSearchResult,
AnayasaDocumentMarkdown, # Model for Norm Denetimi document
AnayasaDocumentMarkdown,
)
logger = logging.getLogger(__name__)
if not logger.hasHandlers():
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
def _build_query(params: AnayasaNormDenetimiSearchRequest) -> str:
"""Derive the free-text query string the new API expects from the legacy model.
The new endpoint only supports a single full-text "query" field, so the
keyword lists are flattened. Esas/Karar numbers are appended when no keyword
is provided so number-based lookups still return results.
"""
terms: List[str] = []
for bucket in (params.keywords_all, params.keywords_any):
if bucket:
terms.extend(t for t in bucket if t)
if not terms:
for value in (params.case_number_esas, params.decision_number_karar):
if value:
terms.append(value)
return " ".join(terms).strip()
class AnayasaMahkemesiApiClient:
BASE_URL = "https://normkararlarbilgibankasi.anayasa.gov.tr"
SEARCH_PATH_SEGMENT = "Ara"
DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000 # Character limit per page
"""Norm Denetimi search/document client over the KBB JSON API."""
def __init__(self, request_timeout: float = 60.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
headers={
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
"Accept-Language": "tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
},
timeout=request_timeout,
verify=True,
follow_redirects=True
)
def _build_search_query_params_for_aym(self, params: AnayasaNormDenetimiSearchRequest) -> List[Tuple[str, str]]:
query_params: List[Tuple[str, str]] = []
if params.keywords_all:
for kw in params.keywords_all: query_params.append(("KelimeAra[]", kw))
if params.keywords_any:
for kw in params.keywords_any: query_params.append(("HerhangiBirKelimeAra[]", kw))
if params.keywords_exclude:
for kw in params.keywords_exclude: query_params.append(("BulunmayanKelimeAra[]", kw))
if params.period and params.period and params.period != "ALL": query_params.append(("Donemler_id", params.period))
if params.case_number_esas: query_params.append(("EsasNo", params.case_number_esas))
if params.decision_number_karar: query_params.append(("KararNo", params.decision_number_karar))
if params.first_review_date_start: query_params.append(("IlkIncelemeTarihiIlk", params.first_review_date_start))
if params.first_review_date_end: query_params.append(("IlkIncelemeTarihiSon", params.first_review_date_end))
if params.decision_date_start: query_params.append(("KararTarihiIlk", params.decision_date_start))
if params.decision_date_end: query_params.append(("KararTarihiSon", params.decision_date_end))
if params.application_type and params.application_type and params.application_type != "ALL": query_params.append(("BasvuruTurler_id", params.application_type))
if params.applicant_general_name: query_params.append(("BasvuranGeneller_id", params.applicant_general_name))
if params.applicant_specific_name: query_params.append(("BasvuranOzeller_id", params.applicant_specific_name))
if params.attending_members_names:
for name in params.attending_members_names: query_params.append(("Uyeler_id[]", name))
if params.rapporteur_name: query_params.append(("Raportorler_id", params.rapporteur_name))
if params.norm_type and params.norm_type and params.norm_type != "ALL": query_params.append(("NormunTurler_id", params.norm_type))
if params.norm_id_or_name: query_params.append(("NormunNumarasiAdlar_id", params.norm_id_or_name))
if params.norm_article: query_params.append(("NormunMaddeNumarasi", params.norm_article))
if params.review_outcomes:
for outcome_val in params.review_outcomes:
if outcome_val and outcome_val != "ALL": query_params.append(("IncelemeTuruKararSonuclar_id[]", outcome_val))
if params.reason_for_final_outcome and params.reason_for_final_outcome and params.reason_for_final_outcome != "ALL":
query_params.append(("KararSonucununGerekcesi", params.reason_for_final_outcome))
if params.basis_constitution_article_numbers:
for article_no in params.basis_constitution_article_numbers: query_params.append(("DayanakHukmu[]", article_no))
if params.official_gazette_date_start: query_params.append(("ResmiGazeteTarihiIlk", params.official_gazette_date_start))
if params.official_gazette_date_end: query_params.append(("ResmiGazeteTarihiSon", params.official_gazette_date_end))
if params.official_gazette_number_start: query_params.append(("ResmiGazeteSayisiIlk", params.official_gazette_number_start))
if params.official_gazette_number_end: query_params.append(("ResmiGazeteSayisiSon", params.official_gazette_number_end))
if params.has_press_release and params.has_press_release and params.has_press_release != "ALL": query_params.append(("BasinDuyurusu", params.has_press_release))
if params.has_dissenting_opinion and params.has_dissenting_opinion and params.has_dissenting_opinion != "ALL": query_params.append(("KarsiOy", params.has_dissenting_opinion))
if params.has_different_reasoning and params.has_different_reasoning and params.has_different_reasoning != "ALL": query_params.append(("FarkliGerekce", params.has_different_reasoning))
# Add pagination and sorting parameters as query params instead of URL path
if params.results_per_page and params.results_per_page != 10:
query_params.append(("SatirSayisi", str(params.results_per_page)))
if params.sort_by_criteria and params.sort_by_criteria != "KararTarihi":
query_params.append(("Siralama", params.sort_by_criteria))
if params.page_to_fetch and params.page_to_fetch > 1:
query_params.append(("page", str(params.page_to_fetch)))
return query_params
self.api = AnayasaApiClient(request_timeout)
async def search_norm_denetimi_decisions(
self,
params: AnayasaNormDenetimiSearchRequest
params: AnayasaNormDenetimiSearchRequest,
) -> AnayasaSearchResult:
# Use simple /Ara endpoint - the complex path structure seems to cause 404s
request_path = f"/{self.SEARCH_PATH_SEGMENT}"
query = _build_query(params)
payload = await self.api.search(
karar_tipi=KARAR_TIPI_NORM,
query=query,
page=params.page_to_fetch,
size=params.results_per_page,
)
final_query_params = self._build_search_query_params_for_aym(params)
logger.info(f"AnayasaMahkemesiApiClient: Performing Norm Denetimi search. Path: {request_path}, Params: {final_query_params}")
try:
response = await self.http_client.get(request_path, params=final_query_params)
response.raise_for_status()
html_content = response.text
except httpx.RequestError as e:
logger.error(f"AnayasaMahkemesiApiClient: HTTP request error during Norm Denetimi search: {e}")
raise
except Exception as e:
logger.error(f"AnayasaMahkemesiApiClient: Error processing Norm Denetimi search request: {e}")
raise
soup = BeautifulSoup(html_content, 'html.parser')
total_records = None
bulunan_karar_div = soup.find("div", class_="bulunankararsayisi")
if not bulunan_karar_div: # Fallback for mobile view
bulunan_karar_div = soup.find("div", class_="bulunankararsayisiMobil")
if bulunan_karar_div:
match_records = re.search(r'(\d+)\s*Karar Bulundu', bulunan_karar_div.get_text(strip=True))
if match_records:
total_records = int(match_records.group(1))
processed_decisions: List[AnayasaDecisionSummary] = []
decision_divs = soup.find_all("div", class_="birkarar")
for decision_div in decision_divs:
link_tag = decision_div.find("a", href=True)
doc_url_path = link_tag['href'] if link_tag else None
decision_page_url_str = urljoin(self.BASE_URL, doc_url_path) if doc_url_path else None
title_div = decision_div.find("div", class_="bkararbaslik")
ek_no_text_raw = title_div.get_text(strip=True, separator=" ").replace('\xa0', ' ') if title_div else ""
ek_no_match = re.search(r"(E\.\s*\d+/\d+\s*,\s*K\.\s*\d+/\d+)", ek_no_text_raw)
ek_no_text = ek_no_match.group(1) if ek_no_match else ek_no_text_raw.split("Sayılı Karar")[0].strip()
keyword_count_div = title_div.find("div", class_="BulunanKelimeSayisi") if title_div else None
keyword_count_text = keyword_count_div.get_text(strip=True).replace("Bulunan Kelime Sayısı", "").strip() if keyword_count_div else None
keyword_count = int(keyword_count_text) if keyword_count_text and keyword_count_text.isdigit() else None
info_div = decision_div.find("div", class_="kararbilgileri")
info_parts = [part.strip() for part in info_div.get_text(separator="|").split("|")] if info_div else []
app_type_summary = info_parts[0] if len(info_parts) > 0 else None
applicant_summary = info_parts[1] if len(info_parts) > 1 else None
outcome_summary = info_parts[2] if len(info_parts) > 2 else None
dec_date_raw = info_parts[3] if len(info_parts) > 3 else None
decision_date_summary = dec_date_raw.replace("Karar Tarihi:", "").strip() if dec_date_raw else None
reviewed_norms_list: List[AnayasaReviewedNormInfo] = []
details_table_container = decision_div.find_next_sibling("div", class_=re.compile(r"col-sm-12")) # The details table is in a sibling div
if details_table_container:
details_table = details_table_container.find("table", class_="table")
if details_table and details_table.find("tbody"):
for row in details_table.find("tbody").find_all("tr"):
cells = row.find_all("td")
if len(cells) == 6:
reviewed_norms_list.append(AnayasaReviewedNormInfo(
norm_name_or_number=cells[0].get_text(strip=True) or None,
article_number=cells[1].get_text(strip=True) or None,
review_type_and_outcome=cells[2].get_text(strip=True) or None,
outcome_reason=cells[3].get_text(strip=True) or None,
basis_constitution_articles_cited=[a.strip() for a in cells[4].get_text(strip=True).split(',') if a.strip()] if cells[4].get_text(strip=True) else [],
postponement_period=cells[5].get_text(strip=True) or None
))
processed_decisions.append(AnayasaDecisionSummary(
decision_reference_no=ek_no_text,
decision_page_url=decision_page_url_str,
keywords_found_count=keyword_count,
application_type_summary=app_type_summary,
applicant_summary=applicant_summary,
decision_outcome_summary=outcome_summary,
decision_date_summary=decision_date_summary,
reviewed_norms=reviewed_norms_list
total_records = int(payload.get("total") or 0)
decisions: List[AnayasaDecisionSummary] = []
for item in payload.get("data") or []:
esas_no = item.get("esasNo") or ""
karar_no = item.get("kararNo") or ""
if esas_no and karar_no:
reference = f"E.{esas_no}, K.{karar_no}"
else:
reference = esas_no or karar_no or ""
decisions.append(AnayasaDecisionSummary(
decision_reference_no=reference,
decision_page_url=build_document_url(KARAR_TIPI_NORM, item.get("id", "")),
keywords_found_count=item.get("highlightCount") or 0,
application_type_summary=item.get("basvuruTuruLabel") or "",
applicant_summary=item.get("basvuranGenelLabel") or "",
decision_outcome_summary=strip_html_text(item.get("kararKonusu")),
decision_date_summary=item.get("kararTarihi") or "",
reviewed_norms=[],
))
return AnayasaSearchResult(
decisions=processed_decisions,
decisions=decisions,
total_records_found=total_records,
retrieved_page_number=params.page_to_fetch
retrieved_page_number=params.page_to_fetch,
)
def _convert_html_to_markdown_norm_denetimi(self, full_decision_html_content: str) -> Optional[str]:
"""Converts direct HTML content from an Anayasa Mahkemesi Norm Denetimi decision page to Markdown."""
if not full_decision_html_content:
return None
processed_html = html.unescape(full_decision_html_content)
soup = BeautifulSoup(processed_html, "html.parser")
html_input_for_markdown = ""
karar_tab_content = soup.find("div", id="Karar") # "KARAR" tab content
if karar_tab_content:
karar_metni_div = karar_tab_content.find("div", class_="KararMetni")
if karar_metni_div:
# Remove scripts and styles
for script_tag in karar_metni_div.find_all("script"): script_tag.decompose()
for style_tag in karar_metni_div.find_all("style"): style_tag.decompose()
# Remove "Künye Kopyala" button and other non-content divs
for item_div in karar_metni_div.find_all("div", class_="item col-sm-12"): item_div.decompose()
for modal_div in karar_metni_div.find_all("div", class_="modal fade"): modal_div.decompose() # If any modals
word_section = karar_metni_div.find("div", class_="WordSection1")
html_input_for_markdown = str(word_section) if word_section else str(karar_metni_div)
else:
html_input_for_markdown = str(karar_tab_content)
else:
# Fallback if specific structure is not found
word_section_fallback = soup.find("div", class_="WordSection1")
if word_section_fallback:
html_input_for_markdown = str(word_section_fallback)
else:
# Last resort: use the whole body or the raw HTML
body_tag = soup.find("body")
html_input_for_markdown = str(body_tag) if body_tag else processed_html
markdown_text = None
try:
# Ensure the content is wrapped in basic HTML structure if it's not already
if not html_input_for_markdown.strip().lower().startswith(("<html", "<!doctype")):
html_content = f"<html><head><meta charset=\"UTF-8\"></head><body>{html_input_for_markdown}</body></html>"
else:
html_content = html_input_for_markdown
# Convert HTML string to bytes and create BytesIO stream
html_bytes = html_content.encode('utf-8')
html_stream = io.BytesIO(html_bytes)
# Pass BytesIO stream to MarkItDown to avoid temp file creation
md_converter = MarkItDown()
conversion_result = md_converter.convert(html_stream)
markdown_text = conversion_result.text_content
except Exception as e:
logger.error(f"AnayasaMahkemesiApiClient: MarkItDown conversion error: {e}")
return markdown_text
async def get_decision_document_as_markdown(
self,
document_url: str,
page_number: int = 1
page_number: int = 1,
) -> AnayasaDocumentMarkdown:
"""
Retrieves a specific Anayasa Mahkemesi (Norm Denetimi) decision,
converts its content to Markdown, and returns the requested page/chunk.
"""
full_url = urljoin(self.BASE_URL, document_url) if not document_url.startswith("http") else document_url
logger.info(f"AnayasaMahkemesiApiClient: Fetching Norm Denetimi document for Markdown (page {page_number}) from URL: {full_url}")
karar_tipi, uuid = parse_document_url(document_url)
if karar_tipi is None:
karar_tipi = KARAR_TIPI_NORM
decision_ek_no_from_page = None
decision_date_from_page = None
official_gazette_from_page = None
record = await self.api.get_decision(karar_tipi, uuid) if uuid else None
try:
# Use a new client instance for document fetching if headers/timeout needs to be different,
# or reuse self.http_client if settings are compatible. For now, self.http_client.
get_response = await self.http_client.get(full_url, headers={"Accept": "text/html"})
get_response.raise_for_status()
html_content_from_api = get_response.text
if not isinstance(html_content_from_api, str) or not html_content_from_api.strip():
logger.warning(f"AnayasaMahkemesiApiClient: Received empty or non-string HTML from URL {full_url}.")
if not record:
logger.warning("AnayasaMahkemesiApiClient: No record for document_url %s", document_url)
return AnayasaDocumentMarkdown(
source_url=full_url, markdown_chunk=None, current_page=page_number, total_pages=0, is_paginated=False
source_url=document_url, markdown_chunk=None,
current_page=page_number, total_pages=0, is_paginated=False,
)
# Extract metadata from the page content (E.K. No, Date, RG)
soup = BeautifulSoup(html_content_from_api, "html.parser")
karar_metni_div = soup.find("div", class_="KararMetni") # Usually within div#Karar
if not karar_metni_div: # Fallback if not in KararMetni
karar_metni_div = soup.find("div", class_="WordSection1")
esas_no = record.get("esasNo") or ""
karar_no = record.get("kararNo") or ""
reference = f"E.{esas_no}, K.{karar_no}" if (esas_no and karar_no) else (esas_no or karar_no or "")
rg_tarihi = record.get("resmiGazeteTarihi") or ""
rg_sayisi = record.get("resmiGazeteSayisi")
official_gazette = f"{rg_tarihi} / {rg_sayisi}".strip(" /") if (rg_tarihi or rg_sayisi) else ""
# Initialize with empty string defaults
decision_ek_no_from_page = ""
decision_date_from_page = ""
official_gazette_from_page = ""
if karar_metni_div:
# Attempt to find E.K. No (Esas No, Karar No)
# Norm Denetimi pages often have this in bold <p> tags directly or in the WordSection1
# Look for patterns like "Esas No.: YYYY/NN" and "Karar No.: YYYY/NN"
esas_no_tag = karar_metni_div.find(lambda tag: tag.name == "p" and tag.find("b") and "Esas No.:" in tag.find("b").get_text())
karar_no_tag = karar_metni_div.find(lambda tag: tag.name == "p" and tag.find("b") and "Karar No.:" in tag.find("b").get_text())
karar_tarihi_tag = karar_metni_div.find(lambda tag: tag.name == "p" and tag.find("b") and "Karar tarihi:" in tag.find("b").get_text()) # Less common on Norm pages
resmi_gazete_tag = karar_metni_div.find(lambda tag: tag.name == "p" and ("Resmî Gazete tarih ve sayısı:" in tag.get_text() or "Resmi Gazete tarih/sayı:" in tag.get_text()))
if esas_no_tag and esas_no_tag.find("b") and karar_no_tag and karar_no_tag.find("b"):
esas_str = esas_no_tag.find("b").get_text(strip=True).replace('Esas No.:', '').strip()
karar_str = karar_no_tag.find("b").get_text(strip=True).replace('Karar No.:', '').strip()
decision_ek_no_from_page = f"E.{esas_str}, K.{karar_str}"
if karar_tarihi_tag and karar_tarihi_tag.find("b"):
decision_date_from_page = karar_tarihi_tag.find("b").get_text(strip=True).replace("Karar tarihi:", "").strip()
elif karar_metni_div: # Fallback for Karar Tarihi if not in specific tag
date_match = re.search(r"Karar Tarihi\s*:\s*([\d\.]+)", karar_metni_div.get_text()) # Norm pages often use DD.MM.YYYY
if date_match: decision_date_from_page = date_match.group(1).strip()
if resmi_gazete_tag:
# Try to get the bold part first if it exists
bold_rg_tag = resmi_gazete_tag.find("b")
rg_text_content = bold_rg_tag.get_text(strip=True) if bold_rg_tag else resmi_gazete_tag.get_text(strip=True)
official_gazette_from_page = rg_text_content.replace("Resmî Gazete tarih ve sayısı:", "").replace("Resmi Gazete tarih/sayı:", "").strip()
full_markdown_content = self._convert_html_to_markdown_norm_denetimi(html_content_from_api)
if not full_markdown_content:
full_markdown = convert_icerik_to_markdown(record.get("icerik"))
if not full_markdown:
return AnayasaDocumentMarkdown(
source_url=full_url,
decision_reference_no_from_page=decision_ek_no_from_page,
decision_date_from_page=decision_date_from_page,
official_gazette_info_from_page=official_gazette_from_page,
markdown_chunk=None,
current_page=page_number,
total_pages=0,
is_paginated=False
source_url=document_url,
decision_reference_no_from_page=reference,
decision_date_from_page=record.get("kararTarihi") or "",
official_gazette_info_from_page=official_gazette,
markdown_chunk=None, current_page=page_number, total_pages=0, is_paginated=False,
)
content_length = len(full_markdown_content)
total_pages = math.ceil(content_length / self.DOCUMENT_MARKDOWN_CHUNK_SIZE)
if total_pages == 0: total_pages = 1
current_page_clamped = max(1, min(page_number, total_pages))
start_index = (current_page_clamped - 1) * self.DOCUMENT_MARKDOWN_CHUNK_SIZE
end_index = start_index + self.DOCUMENT_MARKDOWN_CHUNK_SIZE
markdown_chunk = full_markdown_content[start_index:end_index]
total_pages = max(1, math.ceil(len(full_markdown) / DOCUMENT_MARKDOWN_CHUNK_SIZE))
current_page = max(1, min(page_number, total_pages))
start = (current_page - 1) * DOCUMENT_MARKDOWN_CHUNK_SIZE
chunk = full_markdown[start:start + DOCUMENT_MARKDOWN_CHUNK_SIZE]
return AnayasaDocumentMarkdown(
source_url=full_url,
decision_reference_no_from_page=decision_ek_no_from_page,
decision_date_from_page=decision_date_from_page,
official_gazette_info_from_page=official_gazette_from_page,
markdown_chunk=markdown_chunk,
current_page=current_page_clamped,
source_url=document_url,
decision_reference_no_from_page=reference,
decision_date_from_page=record.get("kararTarihi") or "",
official_gazette_info_from_page=official_gazette,
markdown_chunk=chunk,
current_page=current_page,
total_pages=total_pages,
is_paginated=(total_pages > 1)
is_paginated=(total_pages > 1),
)
except httpx.RequestError as e:
logger.error(f"AnayasaMahkemesiApiClient: HTTP error fetching Norm Denetimi document from {full_url}: {e}")
raise
except Exception as e:
logger.error(f"AnayasaMahkemesiApiClient: General error processing Norm Denetimi document from {full_url}: {e}")
raise
async def close_client_session(self):
if hasattr(self, 'http_client') and self.http_client and not self.http_client.is_closed:
await self.http_client.aclose()
await self.api.close()
logger.info("AnayasaMahkemesiApiClient (Norm Denetimi): HTTP client session closed.")
+11 -17
View File
@@ -140,9 +140,10 @@ class AnayasaDocumentMarkdown(BaseModel):
# --- Models for Anayasa Mahkemesi - Bireysel Başvuru Karar Raporu ---
class AnayasaBireyselReportSearchRequest(BaseModel):
"""Model for Anayasa Mahkemesi (Bireysel Başvuru) 'Karar Arama Raporu' search request."""
keywords: Optional[List[str]] = Field(default_factory=list, description="Keywords for AND logic (KelimeAra[]).")
"""Model for Anayasa Mahkemesi (Bireysel Başvuru) search request."""
keywords: Optional[List[str]] = Field(default_factory=list, description="Keywords joined into the full-text query.")
page_to_fetch: int = Field(1, ge=1, description="Page number to fetch for the report (page). Default is 1.")
results_per_page: int = Field(10, ge=1, le=100, description="Results per page.")
class AnayasaBireyselReportDecisionDetail(BaseModel):
"""Details of a specific right/claim within a Bireysel Başvuru decision summary in a report."""
@@ -191,27 +192,20 @@ class AnayasaBireyselBasvuruDocumentMarkdown(BaseModel):
# --- Unified Models ---
class AnayasaUnifiedSearchRequest(BaseModel):
"""Unified search request for both Norm Denetimi and Bireysel Başvuru."""
"""Unified search request for both Norm Denetimi and Bireysel Başvuru.
The KBB API only exposes a single free-text "query" field plus pagination,
so the keyword lists below are flattened into that query.
"""
decision_type: Literal["norm_denetimi", "bireysel_basvuru"] = Field(..., description="Decision type: norm_denetimi or bireysel_basvuru")
# Common parameters
keywords: List[str] = Field(default_factory=list, description="Keywords to search for")
keywords: List[str] = Field(default_factory=list, description="Keywords to search for (joined into a single full-text query)")
keywords_all: List[str] = Field(default_factory=list, description="Additional keywords to include in the query")
keywords_any: List[str] = Field(default_factory=list, description="Additional alternative keywords to include in the query")
page_to_fetch: int = Field(1, ge=1, le=100, description="Page number to fetch (1-100)")
results_per_page: int = Field(10, ge=1, le=100, description="Results per page (1-100)")
# Norm Denetimi specific parameters (ignored for bireysel_basvuru)
keywords_all: List[str] = Field(default_factory=list, description="All keywords must be present (norm_denetimi only)")
keywords_any: List[str] = Field(default_factory=list, description="Any of these keywords (norm_denetimi only)")
decision_type_norm: Literal["ALL", "1", "2", "3"] = Field("ALL", description="Decision type for norm denetimi")
application_date_start: str = Field("", description="Application start date (norm_denetimi only)")
application_date_end: str = Field("", description="Application end date (norm_denetimi only)")
# Bireysel Başvuru specific parameters (ignored for norm_denetimi)
decision_start_date: str = Field("", description="Decision start date (bireysel_basvuru only)")
decision_end_date: str = Field("", description="Decision end date (bireysel_basvuru only)")
norm_type: Literal["ALL", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "0"] = Field("ALL", description="Norm type (bireysel_basvuru only)")
subject_category: str = Field("", description="Subject category (bireysel_basvuru only)")
class AnayasaUnifiedSearchResult(BaseModel):
"""Unified search result containing decisions from either system."""
decision_type: Literal["norm_denetimi", "bireysel_basvuru"] = Field(..., description="Type of decisions returned")
+51 -55
View File
@@ -1,23 +1,45 @@
# anayasa_mcp_module/unified_client.py
# Unified client for both Norm Denetimi and Bireysel Başvuru
# Unified client for both Norm Denetimi and Bireysel Başvuru, backed by the new
# KBB JSON API. Routing between the two is by the "decision_type" discriminator
# on search, and by the document URL (?type=...) on document retrieval.
import logging
from typing import Optional
from urllib.parse import urlparse
from typing import Optional, Tuple
from .models import (
AnayasaUnifiedSearchRequest,
AnayasaUnifiedSearchResult,
AnayasaUnifiedDocumentMarkdown,
# Removed AnayasaDecisionTypeEnum - now using string literals
AnayasaNormDenetimiSearchRequest,
AnayasaBireyselReportSearchRequest
AnayasaBireyselReportSearchRequest,
)
from .client import AnayasaMahkemesiApiClient
from .bireysel_client import AnayasaBireyselBasvuruApiClient
from .api_client import (
KARAR_TIPI_NORM,
KARAR_TIPI_BIREYSEL,
parse_document_url,
)
logger = logging.getLogger(__name__)
def normalize_anayasa_document_url(document_url: str) -> Tuple[Optional[str], str]:
"""Detect the AYM decision type from a document URL.
Returns ``(decision_type, document_url)`` where ``decision_type`` is
``"norm_denetimi"``, ``"bireysel_basvuru"``, or ``None`` if it cannot be
determined. The URL is returned unchanged (kept for backwards compatibility
with callers that expect a possibly-normalized URL).
"""
karar_tipi, _ = parse_document_url(document_url)
if karar_tipi == KARAR_TIPI_NORM:
return "norm_denetimi", document_url
if karar_tipi == KARAR_TIPI_BIREYSEL:
return "bireysel_basvuru", document_url
return None, document_url
class AnayasaUnifiedClient:
"""Unified client that handles both Norm Denetimi and Bireysel Başvuru searches."""
@@ -26,97 +48,71 @@ class AnayasaUnifiedClient:
self.bireysel_client = AnayasaBireyselBasvuruApiClient(request_timeout)
async def search_unified(self, params: AnayasaUnifiedSearchRequest) -> AnayasaUnifiedSearchResult:
"""Unified search that routes to appropriate client based on decision_type."""
"""Unified search that routes to the appropriate client based on decision_type."""
if params.decision_type == "norm_denetimi":
# Convert to norm denetimi request
norm_params = AnayasaNormDenetimiSearchRequest(
keywords_all=params.keywords_all or params.keywords,
keywords_any=params.keywords_any,
application_type=params.decision_type_norm,
page_to_fetch=params.page_to_fetch,
results_per_page=params.results_per_page
results_per_page=params.results_per_page,
)
result = await self.norm_client.search_norm_denetimi_decisions(norm_params)
# Convert to unified format
decisions_list = [decision.model_dump() for decision in result.decisions]
return AnayasaUnifiedSearchResult(
decision_type="norm_denetimi",
decisions=decisions_list,
decisions=[d.model_dump() for d in result.decisions],
total_records_found=result.total_records_found,
retrieved_page_number=result.retrieved_page_number
retrieved_page_number=result.retrieved_page_number,
)
elif params.decision_type == "bireysel_basvuru":
# Convert to bireysel başvuru request
bireysel_params = AnayasaBireyselReportSearchRequest(
keywords=params.keywords,
decision_start_date=params.decision_start_date,
decision_end_date=params.decision_end_date,
norm_type=params.norm_type,
subject_category=params.subject_category,
keywords=params.keywords or params.keywords_all,
page_to_fetch=params.page_to_fetch,
results_per_page=params.results_per_page
results_per_page=params.results_per_page,
)
result = await self.bireysel_client.search_bireysel_basvuru_report(bireysel_params)
# Convert to unified format
decisions_list = [decision.model_dump() for decision in result.decisions]
return AnayasaUnifiedSearchResult(
decision_type="bireysel_basvuru",
decisions=decisions_list,
decisions=[d.model_dump() for d in result.decisions],
total_records_found=result.total_records_found,
retrieved_page_number=result.retrieved_page_number
retrieved_page_number=result.retrieved_page_number,
)
else:
raise ValueError(f"Unsupported decision type: {params.decision_type}")
async def get_document_unified(self, document_url: str, page_number: int = 1) -> AnayasaUnifiedDocumentMarkdown:
"""Unified document retrieval that auto-detects the appropriate client."""
"""Unified document retrieval that auto-detects the decision type from the URL."""
# Auto-detect decision type based on URL
parsed_url = urlparse(document_url)
decision_type, _ = normalize_anayasa_document_url(document_url)
if "normkararlarbilgibankasi" in parsed_url.netloc or "/ND/" in document_url:
# Norm Denetimi document
result = await self.norm_client.get_decision_document_as_markdown(document_url, page_number)
return AnayasaUnifiedDocumentMarkdown(
decision_type="norm_denetimi",
source_url=result.source_url,
document_data=result.model_dump(),
markdown_chunk=result.markdown_chunk,
current_page=result.current_page,
total_pages=result.total_pages,
is_paginated=result.is_paginated
)
elif "kararlarbilgibankasi" in parsed_url.netloc or "/BB/" in document_url:
# Bireysel Başvuru document
if decision_type == "bireysel_basvuru":
result = await self.bireysel_client.get_decision_document_as_markdown(document_url, page_number)
return AnayasaUnifiedDocumentMarkdown(
decision_type="bireysel_basvuru",
source_url=result.source_url,
document_data=result.model_dump(),
document_data=result.model_dump(mode="json"),
markdown_chunk=result.markdown_chunk,
current_page=result.current_page,
total_pages=result.total_pages,
is_paginated=result.is_paginated
is_paginated=result.is_paginated,
)
else:
raise ValueError(f"Cannot determine document type from URL: {document_url}")
# Default to norm_denetimi (also covers explicit norm_denetimi detection).
result = await self.norm_client.get_decision_document_as_markdown(document_url, page_number)
return AnayasaUnifiedDocumentMarkdown(
decision_type="norm_denetimi",
source_url=result.source_url,
document_data=result.model_dump(mode="json"),
markdown_chunk=result.markdown_chunk,
current_page=result.current_page,
total_pages=result.total_pages,
is_paginated=result.is_paginated,
)
async def close_client_session(self):
"""Close both client sessions."""
if hasattr(self.norm_client, 'close_client_session'):
await self.norm_client.close_client_session()
if hasattr(self.bireysel_client, 'close_client_session'):
await self.bireysel_client.close_client_session()
+35
View File
@@ -0,0 +1,35 @@
"""
ASGI application for Yargı MCP Server (simple deployment variant).
This is a minimal ASGI application that can be run with:
uvicorn app:app --host 0.0.0.0 --port 8000
The MCP server will be available at:
http://localhost:8000/mcp/
For the FastAPI-wrapped variant with CORS and extra metadata routes,
see asgi_app.py instead.
"""
from starlette.responses import JSONResponse
from mcp_server_main import create_app
mcp = create_app()
@mcp.custom_route("/health", methods=["GET"])
async def health_check(request):
"""Health check endpoint for monitoring services (Fly.io, Render, etc.)."""
return JSONResponse({
"status": "healthy",
"service": "Yargı MCP Server",
"version": "0.2.1",
})
# Create ASGI app directly from FastMCP server
app = mcp.http_app()
# Endpoints:
# - /mcp/ - MCP server (Streamable HTTP transport, default FastMCP path)
# - /health - Health check for monitoring
+19 -461
View File
@@ -2,98 +2,32 @@
ASGI application for Yargı MCP Server
This module provides ASGI/HTTP access to the Yargı MCP server,
allowing it to be deployed as a web service with FastAPI wrapper
for OAuth integration and proper middleware support.
allowing it to be deployed as a web service with FastAPI wrapper.
Usage:
uvicorn asgi_app:app --host 0.0.0.0 --port 8000
"""
import os
import time
import logging
import json
from datetime import datetime, timedelta
from fastapi import FastAPI, Request, HTTPException, Query
from fastapi.responses import JSONResponse, HTMLResponse, Response
from fastapi.exception_handlers import http_exception_handler
import logging
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse
from starlette.middleware import Middleware
from starlette.middleware.cors import CORSMiddleware
from starlette.middleware.base import BaseHTTPMiddleware
# Import the proper create_app function that includes all middleware
from mcp_server_main import create_app
# Conditional auth-related imports (only if auth enabled)
_auth_check = os.getenv("ENABLE_AUTH", "false").lower() == "true"
if _auth_check:
# Import MCP Auth HTTP adapter (OAuth endpoints)
try:
from mcp_auth_http_simple import router as mcp_auth_router
except ImportError:
mcp_auth_router = None
# Import Stripe webhook router
try:
from stripe_webhook import router as stripe_router
except ImportError:
stripe_router = None
else:
mcp_auth_router = None
stripe_router = None
# OAuth configuration from environment variables
CLERK_ISSUER = os.getenv("CLERK_ISSUER", "https://clerk.yargimcp.com")
BASE_URL = os.getenv("BASE_URL", "https://api.yargimcp.com")
CLERK_SECRET_KEY = os.getenv("CLERK_SECRET_KEY")
CLERK_PUBLISHABLE_KEY = os.getenv("CLERK_PUBLISHABLE_KEY")
# Setup logging
logger = logging.getLogger(__name__)
# Configure CORS and Auth middleware
# Configure CORS
cors_origins = os.getenv("ALLOWED_ORIGINS", "*").split(",")
# Import FastMCP Bearer Auth Provider
from fastmcp.server.auth import BearerAuthProvider
from fastmcp.server.auth.providers.bearer import RSAKeyPair
# Create MCP app
mcp_server = create_app()
# Import Clerk SDK at module level for performance
try:
from clerk_backend_api import Clerk
CLERK_SDK_AVAILABLE = True
except ImportError:
CLERK_SDK_AVAILABLE = False
logger.warning("Clerk SDK not available - falling back to development mode")
# Configure Bearer token authentication based on ENABLE_AUTH
auth_enabled = os.getenv("ENABLE_AUTH", "false").lower() == "true"
bearer_auth = None
if CLERK_SECRET_KEY and CLERK_ISSUER:
# Production: Use Clerk JWKS endpoint for token validation
bearer_auth = BearerAuthProvider(
jwks_uri=f"{CLERK_ISSUER}/.well-known/jwks.json",
issuer=None,
algorithm="RS256",
audience=None,
required_scopes=[]
)
else:
# Development: Generate RSA key pair for testing
dev_key_pair = RSAKeyPair.generate()
bearer_auth = BearerAuthProvider(
public_key=dev_key_pair.public_key,
issuer="https://dev.yargimcp.com",
audience="dev-mcp-server",
required_scopes=["yargi.read"]
)
# Create MCP app with Bearer authentication
mcp_server = create_app(auth=bearer_auth if auth_enabled else None)
# Create MCP Starlette sub-application with root path - mount will add /mcp prefix
# Create MCP Starlette sub-application
mcp_app = mcp_server.http_app(path="/")
@@ -119,46 +53,22 @@ custom_middleware = [
CORSMiddleware,
allow_origins=cors_origins,
allow_credentials=True,
allow_methods=["GET", "POST", "OPTIONS", "DELETE"],
allow_headers=["Content-Type", "Authorization", "X-Request-ID", "X-Session-ID"],
allow_methods=["GET", "POST", "OPTIONS"],
allow_headers=["Content-Type", "X-Request-ID", "X-Session-ID"],
),
]
# Create FastAPI wrapper application
app = FastAPI(
title="Yargı MCP Server",
description="MCP server for Turkish legal databases with OAuth authentication",
description="MCP server for Turkish legal databases",
version="0.1.0",
middleware=custom_middleware,
default_response_class=UTF8JSONResponse, # Use UTF-8 JSON encoder
redirect_slashes=False # Disable to prevent 307 redirects on /mcp endpoint
default_response_class=UTF8JSONResponse,
redirect_slashes=False,
)
# Add auth-related routers to FastAPI (only if available)
if stripe_router:
app.include_router(stripe_router, prefix="/api/stripe")
if mcp_auth_router:
app.include_router(mcp_auth_router)
# Custom 401 exception handler for MCP spec compliance
@app.exception_handler(401)
async def custom_401_handler(request: Request, exc: HTTPException):
"""Custom 401 handler that adds WWW-Authenticate header as required by MCP spec"""
response = await http_exception_handler(request, exc)
# Add WWW-Authenticate header pointing to protected resource metadata
# as required by RFC 9728 Section 5.1 and MCP Authorization spec
response.headers["WWW-Authenticate"] = (
'Bearer '
'error="invalid_token", '
'error_description="The access token is missing or invalid", '
f'resource="{BASE_URL}/.well-known/oauth-protected-resource"'
)
return response
# FastAPI health check endpoint - BEFORE mounting MCP app
@app.get("/health")
async def health_check():
"""Health check endpoint for monitoring"""
@@ -167,112 +77,26 @@ async def health_check():
"service": "Yargı MCP Server",
"version": "0.1.0",
"tools_count": len(mcp_server._tool_manager._tools),
"auth_enabled": os.getenv("ENABLE_AUTH", "false").lower() == "true"
}
# Add explicit redirect for /mcp to /mcp/ with method preservation
@app.api_route("/mcp", methods=["GET", "POST", "HEAD", "OPTIONS"])
async def redirect_to_slash(request: Request):
"""Redirect /mcp to /mcp/ preserving HTTP method with 308"""
from fastapi.responses import RedirectResponse
return RedirectResponse(url="/mcp/", status_code=308)
# MCP mount at /mcp handles path routing correctly
# IMPORTANT: Add FastAPI endpoints BEFORE mounting MCP app
# Otherwise mount at root will catch all requests
# Debug endpoint to test routing
@app.get("/debug/test")
async def debug_test():
"""Debug endpoint to test if FastAPI routes work"""
return {"message": "FastAPI routes working", "debug": True}
# Clerk CORS proxy endpoints
@app.api_route("/clerk-proxy/{path:path}", methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"])
async def clerk_cors_proxy(request: Request, path: str):
"""
Proxy requests to Clerk to bypass CORS restrictions.
Forwards requests from Claude AI to clerk.yargimcp.com with proper CORS headers.
"""
import httpx
# Build target URL
clerk_url = f"https://clerk.yargimcp.com/{path}"
# Forward query parameters
if request.url.query:
clerk_url += f"?{request.url.query}"
# Copy headers (exclude host/origin)
headers = dict(request.headers)
headers.pop('host', None)
headers.pop('origin', None)
headers['origin'] = 'https://yargimcp.com' # Use our frontend domain
try:
async with httpx.AsyncClient() as client:
# Forward the request to Clerk
if request.method == "OPTIONS":
# Handle preflight
response = await client.request(
method=request.method,
url=clerk_url,
headers=headers
)
else:
# Forward body for POST/PUT requests
body = None
if request.method in ["POST", "PUT", "PATCH"]:
body = await request.body()
response = await client.request(
method=request.method,
url=clerk_url,
headers=headers,
content=body
)
# Create response with CORS headers
response_headers = dict(response.headers)
response_headers.update({
"Access-Control-Allow-Origin": "*",
"Access-Control-Allow-Methods": "GET, POST, PUT, DELETE, OPTIONS",
"Access-Control-Allow-Headers": "Content-Type, Authorization, Accept, Origin, X-Requested-With",
"Access-Control-Allow-Credentials": "true",
"Access-Control-Max-Age": "86400"
})
return Response(
content=response.content,
status_code=response.status_code,
headers=response_headers,
media_type=response.headers.get("content-type")
)
except Exception as e:
return JSONResponse(
{"error": "proxy_error", "message": str(e)},
status_code=500,
headers={"Access-Control-Allow-Origin": "*"}
)
# FastAPI root endpoint
@app.get("/")
async def root():
"""Root endpoint with service information"""
return {
"service": "Yargı MCP Server",
"description": "MCP server for Turkish legal databases with OAuth authentication",
"description": "MCP server for Turkish legal databases",
"endpoints": {
"mcp": "/mcp",
"health": "/health",
"status": "/status",
"stripe_webhook": "/api/stripe/webhook",
"oauth_login": "/auth/login",
"oauth_callback": "/auth/callback",
"oauth_google": "/auth/google/login",
"user_info": "/auth/user"
},
"transports": {
"http": "/mcp"
@@ -288,140 +112,13 @@ async def root():
"Sayıştay (Court of Accounts)",
"KVKK (Personal Data Protection Authority)",
"BDDK (Banking Regulation and Supervision Agency)",
"Bedesten API (Multiple courts)"
"BTK (Information and Communication Technologies Authority)",
"Bedesten API (Multiple courts)",
"Sigorta Tahkim Komisyonu (Insurance Arbitration Commission)",
],
"authentication": {
"enabled": os.getenv("ENABLE_AUTH", "false").lower() == "true",
"type": "OAuth 2.0 via Clerk",
"issuer": CLERK_ISSUER,
"providers": ["google"],
"flow": "authorization_code"
}
}
# OAuth 2.0 Authorization Server Metadata - MCP standard location
@app.get("/.well-known/oauth-authorization-server")
async def oauth_authorization_server_root():
"""OAuth 2.0 Authorization Server Metadata - root level for compatibility"""
return {
"issuer": BASE_URL, # Use BASE_URL as issuer for MCP integration
"authorization_endpoint": f"{BASE_URL}/auth/login",
"token_endpoint": f"{BASE_URL}/token",
"jwks_uri": f"{CLERK_ISSUER}/.well-known/jwks.json",
"response_types_supported": ["code"],
"grant_types_supported": ["authorization_code", "refresh_token"],
"token_endpoint_auth_methods_supported": ["client_secret_basic", "none"],
"scopes_supported": ["read", "search", "openid", "profile", "email"],
"subject_types_supported": ["public"],
"id_token_signing_alg_values_supported": ["RS256"],
"claims_supported": ["sub", "iss", "aud", "exp", "iat", "email", "name"],
"code_challenge_methods_supported": ["S256"],
"service_documentation": f"{BASE_URL}/mcp",
"registration_endpoint": f"{BASE_URL}/register",
"resource_documentation": f"{BASE_URL}/mcp"
}
# Claude AI MCP specific endpoint format - suffix versions
@app.get("/.well-known/oauth-authorization-server/mcp")
async def oauth_authorization_server_mcp_suffix():
"""OAuth 2.0 Authorization Server Metadata - Claude AI MCP specific format"""
return {
"issuer": BASE_URL, # Use BASE_URL as issuer for MCP integration
"authorization_endpoint": f"{BASE_URL}/auth/login",
"token_endpoint": f"{BASE_URL}/token",
"jwks_uri": f"{CLERK_ISSUER}/.well-known/jwks.json",
"response_types_supported": ["code"],
"grant_types_supported": ["authorization_code", "refresh_token"],
"token_endpoint_auth_methods_supported": ["client_secret_basic", "none"],
"scopes_supported": ["read", "search", "openid", "profile", "email"],
"subject_types_supported": ["public"],
"id_token_signing_alg_values_supported": ["RS256"],
"claims_supported": ["sub", "iss", "aud", "exp", "iat", "email", "name"],
"code_challenge_methods_supported": ["S256"],
"service_documentation": f"{BASE_URL}/mcp",
"registration_endpoint": f"{BASE_URL}/register",
"resource_documentation": f"{BASE_URL}/mcp"
}
@app.get("/.well-known/oauth-protected-resource/mcp")
async def oauth_protected_resource_mcp_suffix():
"""OAuth 2.0 Protected Resource Metadata - Claude AI MCP specific format"""
return {
"resource": BASE_URL,
"authorization_servers": [
BASE_URL
],
"scopes_supported": ["read", "search"],
"bearer_methods_supported": ["header"],
"resource_documentation": f"{BASE_URL}/mcp",
"resource_policy_uri": f"{BASE_URL}/privacy"
}
# OAuth 2.0 Protected Resource Metadata (RFC 9728) - MCP Spec Required
@app.get("/.well-known/oauth-protected-resource")
async def oauth_protected_resource():
"""OAuth 2.0 Protected Resource Metadata as required by MCP spec"""
return {
"resource": BASE_URL,
"authorization_servers": [
BASE_URL
],
"scopes_supported": ["read", "search"],
"bearer_methods_supported": ["header"],
"resource_documentation": f"{BASE_URL}/mcp",
"resource_policy_uri": f"{BASE_URL}/privacy"
}
# Standard well-known discovery endpoint
@app.get("/.well-known/mcp")
async def well_known_mcp():
"""Standard MCP discovery endpoint"""
return {
"mcp_server": {
"name": "Yargı MCP Server",
"version": "0.1.0",
"endpoint": f"{BASE_URL}/mcp",
"authentication": {
"type": "oauth2",
"authorization_url": f"{BASE_URL}/auth/login",
"scopes": ["read", "search"]
},
"capabilities": ["tools", "resources"],
"tools_count": len(mcp_server._tool_manager._tools)
}
}
# MCP Discovery endpoint for ChatGPT integration
@app.get("/mcp/discovery")
async def mcp_discovery():
"""MCP Discovery endpoint for ChatGPT and other MCP clients"""
return {
"name": "Yargı MCP Server",
"description": "MCP server for Turkish legal databases",
"version": "0.1.0",
"protocol": "mcp",
"transport": "http",
"endpoint": "/mcp",
"authentication": {
"type": "oauth2",
"authorization_url": "/auth/login",
"token_url": "/token",
"scopes": ["read", "search"],
"provider": "clerk"
},
"capabilities": {
"tools": True,
"resources": True,
"prompts": False
},
"tools_count": len(mcp_server._tool_manager._tools),
"contact": {
"url": BASE_URL,
"email": "support@yargi-mcp.dev"
}
}
# FastAPI status endpoint
@app.get("/status")
async def status():
"""Status endpoint with detailed information"""
@@ -437,149 +134,10 @@ async def status():
"tools": tools,
"total_tools": len(tools),
"transport": "streamable_http",
"architecture": "FastAPI wrapper + MCP Starlette sub-app",
"auth_status": "enabled" if os.getenv("ENABLE_AUTH", "false").lower() == "true" else "disabled"
}
# Simplified OAuth session validation for callback endpoints only
async def validate_clerk_session_for_oauth(request: Request, clerk_token: str = None) -> str:
"""Validate Clerk session for OAuth callback endpoints only (not for MCP endpoints)"""
try:
# Use Clerk SDK if available
if not CLERK_SDK_AVAILABLE:
raise ImportError("Clerk SDK not available")
clerk = Clerk(bearer_auth=CLERK_SECRET_KEY)
# Try JWT token first (from URL parameter)
if clerk_token:
try:
return "oauth_user_from_token"
except Exception as e:
pass
# Fallback to cookie validation
clerk_session = request.cookies.get("__session")
if not clerk_session:
raise HTTPException(status_code=401, detail="No Clerk session found")
# Validate session with Clerk
session = clerk.sessions.verify_session(clerk_session)
return session.user_id
except ImportError:
return "dev_user_123"
except Exception as e:
raise HTTPException(status_code=401, detail=f"OAuth session validation failed: {str(e)}")
# MCP OAuth Callback Endpoint
@app.get("/auth/mcp-callback")
async def mcp_oauth_callback(request: Request, clerk_token: str = Query(None)):
"""Handle OAuth callback for MCP token generation"""
try:
# Validate Clerk session with JWT token support
user_id = await validate_clerk_session_for_oauth(request, clerk_token)
# Return success response
return HTMLResponse(f"""
<html>
<head>
<title>MCP Connection Successful</title>
<style>
body {{ font-family: Arial, sans-serif; text-align: center; padding: 50px; }}
.success {{ color: #28a745; }}
.token {{ background: #f8f9fa; padding: 15px; border-radius: 5px; margin: 20px 0; word-break: break-all; }}
</style>
</head>
<body>
<h1 class="success">✅ MCP Connection Successful!</h1>
<p>Your Yargı MCP integration is now active.</p>
<div class="token">
<strong>Authentication:</strong><br>
<code>Use your Clerk JWT token directly with Bearer authentication</code>
</div>
<p>You can now close this window and return to your MCP client.</p>
<script>
// Try to close the popup if opened as such
if (window.opener) {{
window.opener.postMessage({{
type: 'MCP_AUTH_SUCCESS',
token: 'use_clerk_jwt_token'
}}, '*');
setTimeout(() => window.close(), 3000);
}}
</script>
</body>
</html>
""")
except HTTPException as e:
return HTMLResponse(f"""
<html>
<head>
<title>MCP Connection Failed</title>
<style>
body {{ font-family: Arial, sans-serif; text-align: center; padding: 50px; }}
.error {{ color: #dc3545; }}
.debug {{ background: #f8f9fa; padding: 10px; margin: 20px 0; border-radius: 5px; font-family: monospace; }}
</style>
</head>
<body>
<h1 class="error">❌ MCP Connection Failed</h1>
<p>{e.detail}</p>
<div class="debug">
<strong>Debug Info:</strong><br>
Clerk Token: {'✅ Provided' if clerk_token else '❌ Missing'}<br>
Error: {e.detail}<br>
Status: {e.status_code}
</div>
<p>Please try again or contact support.</p>
<a href="https://yargimcp.com/sign-in">Return to Sign In</a>
</body>
</html>
""", status_code=e.status_code)
except Exception as e:
return HTMLResponse(f"""
<html>
<head>
<title>MCP Connection Error</title>
<style>
body {{ font-family: Arial, sans-serif; text-align: center; padding: 50px; }}
.error {{ color: #dc3545; }}
</style>
</head>
<body>
<h1 class="error">❌ Unexpected Error</h1>
<p>An unexpected error occurred during authentication.</p>
<p>Error: {str(e)}</p>
<a href="https://yargimcp.com/sign-in">Return to Sign In</a>
</body>
</html>
""", status_code=500)
# OAuth2 Token Endpoint - Now uses Clerk JWT tokens directly
@app.post("/auth/mcp-token")
async def mcp_token_endpoint(request: Request):
"""OAuth2 token endpoint for MCP clients - returns Clerk JWT token info"""
try:
# Validate Clerk session
user_id = await validate_clerk_session_for_oauth(request)
return {
"message": "Use your Clerk JWT token directly with Bearer authentication",
"token_type": "Bearer",
"scope": "yargi.read",
"user_id": user_id,
"instructions": "Include 'Authorization: Bearer YOUR_CLERK_JWT_TOKEN' in your requests"
}
except HTTPException as e:
return JSONResponse(
status_code=e.status_code,
content={"error": "invalid_request", "error_description": e.detail}
)
# Mount MCP app at /mcp/ with trailing slash
# Mount MCP app at /mcp/
app.mount("/mcp/", mcp_app)
# Set the lifespan context after mounting
+10 -4
View File
@@ -1,5 +1,6 @@
# bddk_mcp_module/client.py
import asyncio
import httpx
from typing import List, Optional, Dict, Any
import logging
@@ -210,14 +211,19 @@ class BddkApiClient:
# Convert to Markdown based on content type
if "pdf" in content_type:
# Handle PDF documents
# Handle PDF documents. markitdown is sync; offload to thread
# so PDF parsing doesn't block the event-loop / other requests.
pdf_stream = io.BytesIO(response.content)
result = self.markitdown.convert_stream(pdf_stream, file_extension=".pdf")
result = await asyncio.to_thread(
self.markitdown.convert_stream, pdf_stream, file_extension=".pdf"
)
markdown_content = result.text_content
else:
# Handle HTML documents
# Handle HTML documents (sync conversion offloaded to thread)
html_stream = io.BytesIO(response.content)
result = self.markitdown.convert_stream(html_stream, file_extension=".html")
result = await asyncio.to_thread(
self.markitdown.convert_stream, html_stream, file_extension=".html"
)
markdown_content = result.text_content
# Clean up the markdown content
+121 -8
View File
@@ -1,11 +1,15 @@
# bedesten_mcp_module/client.py
import httpx
import asyncio
import base64
from typing import Optional
import logging
from markitdown import MarkItDown
import io
import logging
import os
import time
from typing import Optional
import httpx
from markitdown import MarkItDown
from .models import (
BedestenSearchRequest, BedestenSearchResponse,
@@ -16,6 +20,72 @@ from .enums import get_full_birim_adi
logger = logging.getLogger(__name__)
class BedestenRateLimited(Exception):
"""Raised when the local rate-limit bucket would block longer than allowed.
Carries the suggested retry-after (seconds) so callers can surface a
structured 429-style response to the MCP client instead of silently
blocking the event-loop slot for the full bucket-pause window.
"""
def __init__(self, retry_after: float) -> None:
self.retry_after = retry_after
super().__init__(f"local bucket would block {retry_after:.1f}s")
class _TokenBucket:
"""Asyncio token bucket with explicit back-pressure.
Measured Bedesten limit (per source IP, 2026-05-08): 10 requests per
rolling 30s window with full refill — equivalent to capacity=10,
refill_rate=1 token / 3s. Even with margin, 429s still leak through
when other clients share the egress IP, so we also expose
``penalize_until`` so callers can freeze the bucket when the server
actually returns 429 (Retry-After).
"""
def __init__(self, capacity: int, refill_per_s: float) -> None:
self.capacity = float(capacity)
self.refill_per_s = float(refill_per_s)
self._tokens = float(capacity)
self._last = time.monotonic()
self._not_before = 0.0
self._lock = asyncio.Lock()
async def acquire(self, max_wait: Optional[float] = None) -> None:
"""Acquire one token. If ``max_wait`` is set and the next wait would
exceed it, raise :class:`BedestenRateLimited` immediately instead of
sleeping — keeps a single rate-limited request from holding the
worker-slot for the full bucket-pause window (up to ~30s on 429)."""
deadline = (time.monotonic() + max_wait) if max_wait is not None else None
while True:
async with self._lock:
now = time.monotonic()
if now < self._not_before:
wait_s = self._not_before - now
else:
self._tokens = min(
self.capacity,
self._tokens + (now - self._last) * self.refill_per_s,
)
self._last = now
if self._tokens >= 1.0:
self._tokens -= 1.0
return
wait_s = (1.0 - self._tokens) / self.refill_per_s
if deadline is not None:
remaining = deadline - time.monotonic()
if wait_s > remaining:
raise BedestenRateLimited(retry_after=wait_s)
await asyncio.sleep(wait_s)
def penalize_until(self, monotonic_deadline: float) -> None:
"""Pause the bucket until ``monotonic_deadline`` (drains tokens)."""
self._not_before = max(self._not_before, monotonic_deadline)
self._tokens = 0.0
self._last = time.monotonic()
class BedestenApiClient:
"""
API Client for Bedesten (bedesten.adalet.gov.tr) - Alternative legal decision search system.
@@ -25,6 +95,17 @@ class BedestenApiClient:
SEARCH_ENDPOINT = "/emsal-karar/searchDocuments"
DOCUMENT_ENDPOINT = "/emsal-karar/getDocumentContent"
# Measured limit (per source IP): 10 requests per 30s window with full
# refill (≈ 1 token / 3s steady). We default to 1-token capacity and
# 3.5s spacing (no burst, ~14% safety margin). Override via env:
# BEDESTEN_RATE_CAPACITY (default 1)
# BEDESTEN_RATE_REFILL_S (default 3.5; seconds per token)
# BEDESTEN_RATE_MAX_WAIT_S (default 8.0; max seconds to wait in the
# local bucket before returning a structured 429 to the caller)
_DEFAULT_CAPACITY = int(os.getenv("BEDESTEN_RATE_CAPACITY", "1"))
_DEFAULT_REFILL_S = float(os.getenv("BEDESTEN_RATE_REFILL_S", "3.5"))
_DEFAULT_MAX_WAIT_S = float(os.getenv("BEDESTEN_RATE_MAX_WAIT_S", "8.0"))
def __init__(self, request_timeout: float = 60.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
@@ -42,6 +123,24 @@ class BedestenApiClient:
},
timeout=request_timeout
)
self._bucket = _TokenBucket(
capacity=self._DEFAULT_CAPACITY,
refill_per_s=1.0 / self._DEFAULT_REFILL_S,
)
def _handle_429(self, response: httpx.Response, op: str) -> None:
"""Apply back-pressure to the shared bucket based on Retry-After."""
retry_after_raw = response.headers.get("Retry-After", "")
try:
retry_after = float(retry_after_raw)
except (TypeError, ValueError):
retry_after = 30.0
# Cap penalty so a hostile/buggy server can't freeze us indefinitely.
retry_after = max(1.0, min(retry_after, 60.0))
self._bucket.penalize_until(time.monotonic() + retry_after + 0.5)
logger.warning(
f"BedestenApiClient: 429 on {op}; bucket paused {retry_after + 0.5:.1f}s"
)
async def search_documents(self, search_request: BedestenSearchRequest) -> BedestenSearchResponse:
"""
@@ -63,10 +162,13 @@ class BedestenApiClient:
if not request_dict["data"]["birimAdi"]: # Remove if empty string
del request_dict["data"]["birimAdi"]
await self._bucket.acquire(max_wait=self._DEFAULT_MAX_WAIT_S)
response = await self.http_client.post(
self.SEARCH_ENDPOINT,
json=request_dict
)
if response.status_code == 429:
self._handle_429(response, "search")
response.raise_for_status()
response_json = response.json()
@@ -94,10 +196,13 @@ class BedestenApiClient:
)
# Get document
await self._bucket.acquire(max_wait=self._DEFAULT_MAX_WAIT_S)
response = await self.http_client.post(
self.DOCUMENT_ENDPOINT,
json=doc_request.model_dump()
)
if response.status_code == 429:
self._handle_429(response, f"document {document_id}")
response.raise_for_status()
response_json = response.json()
doc_response = BedestenDocumentResponse(**response_json)
@@ -122,12 +227,20 @@ class BedestenApiClient:
logger.info(f"BedestenApiClient: Document mime type: {mime_type}")
# Convert to markdown based on mime type
# Convert to markdown based on mime type. markitdown is sync and
# PDF parsing in particular can block the event-loop for seconds,
# which on a single-worker uvicorn deployment stalls every other
# in-flight MCP request and new TLS handshakes. Offload to a
# thread so the event-loop stays responsive.
if mime_type == "text/html":
html_content = content_bytes.decode('utf-8')
markdown_content = self._convert_html_to_markdown(html_content)
markdown_content = await asyncio.to_thread(
self._convert_html_to_markdown, html_content
)
elif mime_type == "application/pdf":
markdown_content = self._convert_pdf_to_markdown(content_bytes)
markdown_content = await asyncio.to_thread(
self._convert_pdf_to_markdown, content_bytes
)
else:
logger.warning(f"Unsupported mime type: {mime_type}")
markdown_content = f"Unsupported content type: {mime_type}. Unable to convert to markdown."
@@ -135,7 +248,7 @@ class BedestenApiClient:
return BedestenDocumentMarkdown(
documentId=document_id,
markdown_content=markdown_content,
source_url=f"{self.BASE_URL}/document/{document_id}",
source_url=f"https://mevzuat.adalet.gov.tr/ictihat/{document_id}",
mime_type=mime_type
)
+17
View File
@@ -0,0 +1,17 @@
# btk_mcp_module/__init__.py
from .client import BtkApiClient
from .models import (
BtkDocumentMarkdown,
BtkDecisionSummary,
BtkSearchRequest,
BtkSearchResult,
)
__all__ = [
"BtkApiClient",
"BtkDocumentMarkdown",
"BtkDecisionSummary",
"BtkSearchRequest",
"BtkSearchResult",
]
+206
View File
@@ -0,0 +1,206 @@
# btk_mcp_module/client.py
import asyncio
import io
import logging
import math
from datetime import datetime
from typing import Any, Dict, Optional
from urllib.parse import urlencode
import httpx
from markitdown import MarkItDown
from pydantic import HttpUrl
from .models import (
BtkDecisionSummary,
BtkDocumentMarkdown,
BtkSearchRequest,
BtkSearchResult,
)
logger = logging.getLogger(__name__)
if not logger.hasHandlers():
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
)
class BtkApiClient:
"""Client for BTK (Information and Communication Technologies Authority) decisions."""
BASE_URL = "https://www.btk.tr"
API_PATH = "/api/content/board-decisions"
DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000
def __init__(self, request_timeout: float = 60.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
headers={
"Accept": "application/json,text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
"Accept-Language": "tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7",
"User-Agent": (
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
),
},
timeout=request_timeout,
verify=True,
follow_redirects=True,
)
self.markitdown = MarkItDown(enable_plugins=False)
def _build_search_params(self, request: BtkSearchRequest) -> Dict[str, str]:
params: Dict[str, str] = {
"page": str(request.page),
"limit": str(request.pageSize),
"locale": "tr",
}
if request.keywords.strip():
params["search"] = request.keywords.strip()
if request.decision_no.strip():
params["filter[decision_no]"] = request.decision_no.strip()
if request.decision_date.strip():
params["filter[decision_date]"] = request.decision_date.strip()
if request.publication_date.strip():
params["date_from"] = request.publication_date.strip()
params["date_to"] = request.publication_date.strip()
if request.relevant_unit.strip():
params["filter[relevant_unit]"] = request.relevant_unit.strip()
return params
@staticmethod
def _format_date(value: Optional[str]) -> Optional[str]:
if not value:
return None
normalized = value.replace("Z", "+00:00")
try:
return datetime.fromisoformat(normalized).date().isoformat()
except ValueError:
return value[:10] if len(value) >= 10 else value
@staticmethod
def _extract_pdf_url(file_data: Any) -> Optional[str]:
if not isinstance(file_data, dict):
return None
for key in ("url", "storageUrl"):
value = file_data.get(key)
if isinstance(value, str) and value.strip():
return value.strip()
return None
def _parse_decision(self, item: Dict[str, Any]) -> BtkDecisionSummary:
data = item.get("data") if isinstance(item.get("data"), dict) else {}
file_data = data.get("file_url") if isinstance(data.get("file_url"), dict) else {}
pdf_url = self._extract_pdf_url(file_data)
return BtkDecisionSummary(
id=str(item.get("id") or ""),
title=str(item.get("title") or ""),
slug=str(item.get("slug") or ""),
decision_no=data.get("decision_no"),
decision_date=self._format_date(data.get("decision_date")),
publication_date=self._format_date(item.get("publishedAt")),
relevant_unit=data.get("relevant_unit"),
pdf_url=HttpUrl(pdf_url) if pdf_url else None,
original_filename=file_data.get("originalFilename") or file_data.get("filename"),
)
async def search_decisions(self, request: BtkSearchRequest) -> BtkSearchResult:
params = self._build_search_params(request)
query_string = urlencode(params, doseq=True)
query_url = f"{self.BASE_URL}{self.API_PATH}?{query_string}"
logger.info("BtkApiClient: searching BTK decisions with URL: %s", query_url)
try:
response = await self.http_client.get(self.API_PATH, params=params)
response.raise_for_status()
payload = response.json()
except Exception as e:
logger.error("BtkApiClient: error searching decisions: %s", e, exc_info=True)
raise Exception(f"Failed to search BTK decisions: {str(e)}")
raw_items = payload.get("data") if isinstance(payload, dict) else []
decisions = [
self._parse_decision(item)
for item in raw_items
if isinstance(item, dict)
]
meta = payload.get("meta") if isinstance(payload.get("meta"), dict) else {}
return BtkSearchResult(
decisions=decisions,
total_results=int(meta.get("total") or len(decisions)),
page=int(meta.get("page") or request.page),
pageSize=int(meta.get("limit") or request.pageSize),
total_pages=int(meta.get("totalPages") or 0),
query_url=query_url,
)
def _convert_pdf_to_markdown(self, pdf_bytes: bytes) -> str:
pdf_stream = io.BytesIO(pdf_bytes)
result = self.markitdown.convert_stream(pdf_stream, file_extension=".pdf")
return (result.text_content or "").strip()
async def get_document_markdown(self, pdf_url: str, page_number: int = 1) -> BtkDocumentMarkdown:
if not pdf_url or not pdf_url.strip():
return BtkDocumentMarkdown(
source_url=HttpUrl(f"{self.BASE_URL}/kurul-kararlari"),
markdown_chunk=None,
current_page=max(1, page_number),
total_pages=0,
is_paginated=False,
error_message="pdf_url is required.",
)
pdf_url = pdf_url.strip()
if not pdf_url.startswith(("https://www.btk.gov.tr/", "https://www.btk.tr/")):
return BtkDocumentMarkdown(
source_url=HttpUrl(pdf_url),
markdown_chunk=None,
current_page=max(1, page_number),
total_pages=0,
is_paginated=False,
error_message="Invalid BTK document URL. URL must start with https://www.btk.gov.tr/ or https://www.btk.tr/.",
)
try:
response = await self.http_client.get(pdf_url)
response.raise_for_status()
content_type = response.headers.get("content-type", "").lower()
if "pdf" not in content_type and not pdf_url.lower().endswith(".pdf"):
raise Exception(f"Expected a PDF document, got content type: {content_type}")
markdown_content = await asyncio.to_thread(self._convert_pdf_to_markdown, response.content)
total_pages = max(1, math.ceil(len(markdown_content) / self.DOCUMENT_MARKDOWN_CHUNK_SIZE))
current_page = max(1, min(page_number, total_pages))
start_index = (current_page - 1) * self.DOCUMENT_MARKDOWN_CHUNK_SIZE
end_index = start_index + self.DOCUMENT_MARKDOWN_CHUNK_SIZE
return BtkDocumentMarkdown(
source_url=HttpUrl(pdf_url),
markdown_chunk=markdown_content[start_index:end_index],
current_page=current_page,
total_pages=total_pages,
is_paginated=total_pages > 1,
error_message=None,
)
except Exception as e:
logger.error("BtkApiClient: error retrieving BTK PDF %s: %s", pdf_url, e, exc_info=True)
return BtkDocumentMarkdown(
source_url=HttpUrl(pdf_url),
markdown_chunk=None,
current_page=max(1, page_number),
total_pages=0,
is_paginated=False,
error_message=f"Failed to retrieve BTK document: {str(e)}",
)
async def close_client_session(self):
if hasattr(self, "http_client") and self.http_client and not self.http_client.is_closed:
await self.http_client.aclose()
logger.info("BtkApiClient: HTTP client session closed.")
+58
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@@ -0,0 +1,58 @@
# btk_mcp_module/models.py
from typing import List, Optional
from pydantic import BaseModel, Field, HttpUrl
class BtkSearchRequest(BaseModel):
"""Request model for searching BTK Board decisions."""
keywords: str = Field("", description="Keywords searched in decision title/content metadata.")
decision_no: str = Field("", description="BTK decision number, e.g. 2026/DK-THD/91.")
decision_date: str = Field("", description="Decision date as YYYY-MM-DD.")
publication_date: str = Field("", description="Publication date as YYYY-MM-DD.")
relevant_unit: str = Field("", description="Related BTK department name.")
page: int = Field(1, ge=1, description="Page number for results.")
pageSize: int = Field(10, ge=1, le=50, description="Results per page.")
class BtkDecisionSummary(BaseModel):
"""Summary of a BTK Board decision from search results."""
id: str = Field("", description="BTK content ID.")
title: str = Field("", description="Decision title.")
slug: str = Field("", description="BTK content slug.")
decision_no: Optional[str] = Field(None, description="Decision number.")
decision_date: Optional[str] = Field(None, description="Decision date.")
publication_date: Optional[str] = Field(None, description="Publication date.")
relevant_unit: Optional[str] = Field(None, description="Related BTK department.")
pdf_url: Optional[HttpUrl] = Field(None, description="Direct URL of the decision PDF.")
original_filename: Optional[str] = Field(None, description="Original PDF filename when available.")
class BtkSearchResult(BaseModel):
"""Response model for BTK Board decision search results."""
decisions: List[BtkDecisionSummary] = Field(default_factory=list)
total_results: int = Field(0, description="Total number of matching results.")
page: int = Field(1, description="Current page.")
pageSize: int = Field(10, description="Results per page.")
total_pages: int = Field(0, description="Total result pages.")
query_url: str = Field("", description="BTK API URL used for the search.")
class BtkDocumentMarkdown(BaseModel):
"""BTK decision PDF converted to paginated Markdown."""
source_url: HttpUrl = Field(description="Source PDF URL.")
markdown_chunk: Optional[str] = Field(None, description="A chunk of the Markdown content.")
current_page: int = Field(1, description="Current Markdown chunk page.")
total_pages: int = Field(1, description="Total Markdown chunk pages.")
is_paginated: bool = Field(False, description="True when content spans multiple chunks.")
error_message: Optional[str] = Field(None, description="Error message, if retrieval failed.")
class Config:
json_encoders = {
HttpUrl: str
}
+2 -1
View File
@@ -1,5 +1,6 @@
# danistay_mcp_module/client.py
import asyncio
import httpx
from bs4 import BeautifulSoup
from typing import Dict, Any, List, Optional
@@ -170,7 +171,7 @@ class DanistayApiClient:
source_url=source_url
)
markdown_content = self._convert_html_to_markdown_danistay(html_content_from_api)
markdown_content = await asyncio.to_thread(self._convert_html_to_markdown_danistay, html_content_from_api)
return DanistayDocumentMarkdown(
id=id,
-66
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@@ -1,66 +0,0 @@
version: '3.8'
services:
yargi-mcp:
build: .
image: yargi-mcp:latest
container_name: yargi-mcp-server
ports:
- "${PORT:-8000}:8000"
environment:
- HOST=0.0.0.0
- PORT=8000
- LOG_LEVEL=${LOG_LEVEL:-info}
- ALLOWED_ORIGINS=${ALLOWED_ORIGINS:-*}
- API_TOKEN=${API_TOKEN:-}
- PYTHONUNBUFFERED=1
volumes:
# Mount logs directory
- ./logs:/app/logs
# Mount .env file if it exists
- ./.env:/app/.env:ro
restart: unless-stopped
healthcheck:
test: ["CMD", "python", "-c", "import httpx; httpx.get('http://localhost:8000/health').raise_for_status()"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
networks:
- yargi-network
# Optional: Nginx reverse proxy
nginx:
image: nginx:alpine
container_name: yargi-nginx
ports:
- "80:80"
- "443:443"
volumes:
- ./nginx.conf:/etc/nginx/nginx.conf:ro
- ./ssl:/etc/nginx/ssl:ro
depends_on:
- yargi-mcp
networks:
- yargi-network
profiles:
- production
# Optional: Redis for caching (future enhancement)
redis:
image: redis:alpine
container_name: yargi-redis
command: redis-server --appendonly yes
volumes:
- redis-data:/data
networks:
- yargi-network
profiles:
- with-cache
networks:
yargi-network:
driver: bridge
volumes:
redis-data:
-428
View File
@@ -1,428 +0,0 @@
# Yargı MCP Server Dağıtım Rehberi
Bu rehber, Yargı MCP Server'ın ASGI web servisi olarak çeşitli dağıtım seçeneklerini kapsar.
## İçindekiler
- [Hızlı Başlangıç](#hızlı-başlangıç)
- [Yerel Geliştirme](#yerel-geliştirme)
- [Production Dağıtımı](#production-dağıtımı)
- [Cloud Dağıtımı](#cloud-dağıtımı)
- [Docker Dağıtımı](#docker-dağıtımı)
- [Güvenlik Hususları](#güvenlik-hususları)
- [İzleme](#izleme)
## Hızlı Başlangıç
### 1. Bağımlılıkları Yükleyin
```bash
# ASGI sunucusu için uvicorn yükleyin
pip install uvicorn
# Veya tüm bağımlılıklarla birlikte yükleyin
pip install -e .
pip install uvicorn
```
### 2. Sunucuyu Çalıştırın
```bash
# Temel başlatma
python run_asgi.py
# Veya doğrudan uvicorn ile
uvicorn asgi_app:app --host 0.0.0.0 --port 8000
```
Sunucu şu adreslerde kullanılabilir olacak:
- MCP Endpoint: `http://localhost:8000/mcp/`
- Sağlık Kontrolü: `http://localhost:8000/health`
- API Durumu: `http://localhost:8000/status`
## Yerel Geliştirme
### Otomatik Yeniden Yükleme ile Geliştirme Sunucusu
```bash
python run_asgi.py --reload --log-level debug
```
### FastAPI Entegrasyonunu Kullanma
Ek REST API endpoint'leri için:
```bash
uvicorn fastapi_app:app --reload
```
Bu şunları sağlar:
- `/docs` adresinde interaktif API dokümantasyonu
- `/api/tools` adresinde araç listesi
- `/api/databases` adresinde veritabanı bilgileri
### Ortam Değişkenleri
`.env.example` dosyasını temel alarak bir `.env` dosyası oluşturun:
```bash
cp .env.example .env
```
Temel değişkenler:
- `HOST`: Sunucu host adresi (varsayılan: 127.0.0.1)
- `PORT`: Sunucu portu (varsayılan: 8000)
- `ALLOWED_ORIGINS`: CORS kökenleri (virgülle ayrılmış)
- `LOG_LEVEL`: Log seviyesi (debug, info, warning, error)
## Production Dağıtımı
### 1. Uvicorn ile Çoklu Worker Kullanımı
```bash
python run_asgi.py --host 0.0.0.0 --port 8000 --workers 4
```
### 2. Gunicorn Kullanımı
```bash
pip install gunicorn
gunicorn asgi_app:app -w 4 -k uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000
```
### 3. Nginx Reverse Proxy ile
1. Nginx'i yükleyin
2. Sağlanan `nginx.conf` dosyasını kullanın:
```bash
sudo cp nginx.conf /etc/nginx/sites-available/yargi-mcp
sudo ln -s /etc/nginx/sites-available/yargi-mcp /etc/nginx/sites-enabled/
sudo nginx -t
sudo systemctl reload nginx
```
### 4. Systemd Servisi
`/etc/systemd/system/yargi-mcp.service` dosyasını oluşturun:
```ini
[Unit]
Description=Yargı MCP Server
After=network.target
[Service]
Type=exec
User=www-data
WorkingDirectory=/opt/yargi-mcp
Environment="PATH=/opt/yargi-mcp/venv/bin"
ExecStart=/opt/yargi-mcp/venv/bin/uvicorn asgi_app:app --host 0.0.0.0 --port 8000 --workers 4
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
```
Etkinleştirin ve başlatın:
```bash
sudo systemctl enable yargi-mcp
sudo systemctl start yargi-mcp
```
## Cloud Dağıtımı
### Heroku
1. `Procfile` oluşturun:
```
web: uvicorn asgi_app:app --host 0.0.0.0 --port $PORT
```
2. Dağıtın:
```bash
heroku create uygulama-isminiz
git push heroku main
```
### Railway
1. `railway.json` ekleyin:
```json
{
"build": {
"builder": "NIXPACKS"
},
"deploy": {
"startCommand": "uvicorn asgi_app:app --host 0.0.0.0 --port $PORT"
}
}
```
2. Railway CLI veya GitHub entegrasyonu ile dağıtın
### Google Cloud Run
1. Container oluşturun:
```bash
docker build -t yargi-mcp .
docker tag yargi-mcp gcr.io/PROJE_ADINIZ/yargi-mcp
docker push gcr.io/PROJE_ADINIZ/yargi-mcp
```
2. Dağıtın:
```bash
gcloud run deploy yargi-mcp \
--image gcr.io/PROJE_ADINIZ/yargi-mcp \
--platform managed \
--region us-central1 \
--allow-unauthenticated
```
### AWS Lambda (Mangum kullanarak)
1. Mangum'u yükleyin:
```bash
pip install mangum
```
2. `lambda_handler.py` oluşturun:
```python
from mangum import Mangum
from asgi_app import app
handler = Mangum(app, lifespan="off")
```
3. AWS SAM veya Serverless Framework kullanarak dağıtın
## Docker Dağıtımı
### Tek Container
```bash
# Oluşturun
docker build -t yargi-mcp .
# Çalıştırın
docker run -p 8000:8000 --env-file .env yargi-mcp
```
### Docker Compose
```bash
# Geliştirme
docker-compose up
# Nginx ile Production
docker-compose --profile production up
# Redis önbellekleme ile
docker-compose --profile with-cache up
```
### Kubernetes
Deployment YAML oluşturun:
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: yargi-mcp
spec:
replicas: 3
selector:
matchLabels:
app: yargi-mcp
template:
metadata:
labels:
app: yargi-mcp
spec:
containers:
- name: yargi-mcp
image: yargi-mcp:latest
ports:
- containerPort: 8000
env:
- name: HOST
value: "0.0.0.0"
- name: PORT
value: "8000"
livenessProbe:
httpGet:
path: /health
port: 8000
initialDelaySeconds: 10
periodSeconds: 30
---
apiVersion: v1
kind: Service
metadata:
name: yargi-mcp-service
spec:
selector:
app: yargi-mcp
ports:
- port: 80
targetPort: 8000
type: LoadBalancer
```
## Güvenlik Hususları
### 1. Kimlik Doğrulama
`API_TOKEN` ortam değişkenini ayarlayarak token kimlik doğrulamasını etkinleştirin:
```bash
export API_TOKEN=gizli-token-degeri
```
Ardından isteklere ekleyin:
```bash
curl -H "Authorization: Bearer gizli-token-degeri" http://localhost:8000/api/tools
```
### 2. HTTPS/SSL
Production için her zaman HTTPS kullanın:
1. SSL sertifikası edinin (Let's Encrypt vb.)
2. Nginx veya cloud sağlayıcıda yapılandırın
3. `ALLOWED_ORIGINS` değerini https:// kullanacak şekilde güncelleyin
### 3. Rate Limiting (Hız Sınırlama)
Sağlanan Nginx yapılandırması rate limiting içerir:
- API endpoint'leri: 10 istek/saniye
- MCP endpoint: 100 istek/saniye
### 4. CORS Yapılandırması
Production için belirli kaynaklara izin verin:
```bash
ALLOWED_ORIGINS=https://app.sizindomain.com,https://www.sizindomain.com
```
## İzleme
### Sağlık Kontrolleri
`/health` endpoint'ini izleyin:
```bash
curl http://localhost:8000/health
```
Yanıt:
```json
{
"status": "healthy",
"timestamp": "2024-12-26T10:00:00",
"uptime_seconds": 3600,
"tools_operational": true
}
```
### Loglama
Ortam değişkeni ile log seviyesini yapılandırın:
```bash
LOG_LEVEL=info # veya debug, warning, error
```
Loglar şuraya yazılır:
- Konsol (stdout)
- `logs/mcp_server.log` dosyası
### Metrikler (Opsiyonel)
OpenTelemetry desteği için:
```bash
pip install opentelemetry-instrumentation-fastapi
```
Ortam değişkenlerini ayarlayın:
```bash
OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
OTEL_SERVICE_NAME=yargi-mcp-server
```
## Sorun Giderme
### Port Zaten Kullanımda
```bash
# 8000 portunu kullanan işlemi bulun
lsof -i :8000
# İşlemi sonlandırın
kill -9 <PID>
```
### İzin Hataları
Dosya izinlerinin doğru olduğundan emin olun:
```bash
chmod +x run_asgi.py
chown -R www-data:www-data /opt/yargi-mcp
```
### Bellek Sorunları
Büyük belge işleme için worker belleğini artırın:
```bash
# systemd servisinde
Environment="PYTHONMALLOC=malloc"
LimitNOFILE=65536
```
### Zaman Aşımı Sorunları
Zaman aşımlarını ayarlayın:
1. Uvicorn: `--timeout-keep-alive 75`
2. Nginx: `proxy_read_timeout 300s;`
3. Cloud sağlayıcılar: Platform özel zaman aşımı ayarlarını kontrol edin
## Performans Ayarlama
### 1. Worker İşlemleri
- Geliştirme: 1 worker
- Production: CPU çekirdeği başına 2-4 worker
### 2. Bağlantı Havuzlama
Sunucu varsayılan olarak httpx ile bağlantı havuzlama kullanır.
### 3. Önbellekleme (Gelecek Geliştirme)
Redis önbellekleme docker-compose ile etkinleştirilebilir:
```bash
docker-compose --profile with-cache up
```
### 4. Veritabanı Zaman Aşımları
`.env` dosyasında veritabanı başına zaman aşımlarını ayarlayın:
```bash
YARGITAY_TIMEOUT=60
DANISTAY_TIMEOUT=60
ANAYASA_TIMEOUT=90
```
## Destek
Sorunlar ve sorular için:
- GitHub Issues: https://github.com/saidsurucu/yargi-mcp/issues
- Dokümantasyon: README.md dosyasına bakın
+106 -1
View File
@@ -1,12 +1,15 @@
# emsal_mcp_module/client.py
import asyncio
import httpx
# from bs4 import BeautifulSoup # Uncomment if needed for advanced HTML pre-processing
from typing import Dict, Any, List, Optional
import logging
import html
import os
import re
import io
import time
from markitdown import MarkItDown
from .models import (
@@ -20,12 +23,87 @@ logger = logging.getLogger(__name__)
if not logger.hasHandlers():
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
class EmsalRateLimited(Exception):
"""Raised when the local rate-limit bucket would block longer than allowed.
Carries the suggested retry-after (seconds) so callers can surface a
structured 429-style response instead of silently blocking the
event-loop slot for the full bucket-pause window.
"""
def __init__(self, retry_after: float) -> None:
self.retry_after = retry_after
super().__init__(f"local bucket would block {retry_after:.1f}s")
class _TokenBucket:
"""Asyncio token bucket with explicit back-pressure.
The UYAP Emsal endpoint (emsal.uyap.gov.tr) rate-limits per source IP and
returns HTTP 429 (an HTML error page, no Retry-After header) after a small
burst of rapid requests. On the shared-egress-IP production deployment this
is hit constantly, making unrelated searches appear to "return 0 results"
depending only on request order. This bucket spaces requests to a safe rate
and freezes on an actual 429 via ``penalize_until``.
"""
def __init__(self, capacity: int, refill_per_s: float) -> None:
self.capacity = float(capacity)
self.refill_per_s = float(refill_per_s)
self._tokens = float(capacity)
self._last = time.monotonic()
self._not_before = 0.0
self._lock = asyncio.Lock()
async def acquire(self, max_wait: Optional[float] = None) -> None:
"""Acquire one token. If ``max_wait`` is set and the next wait would
exceed it, raise :class:`EmsalRateLimited` immediately instead of
sleeping — keeps a single rate-limited request from holding the
worker-slot for the full bucket-pause window."""
deadline = (time.monotonic() + max_wait) if max_wait is not None else None
while True:
async with self._lock:
now = time.monotonic()
if now < self._not_before:
wait_s = self._not_before - now
else:
self._tokens = min(
self.capacity,
self._tokens + (now - self._last) * self.refill_per_s,
)
self._last = now
if self._tokens >= 1.0:
self._tokens -= 1.0
return
wait_s = (1.0 - self._tokens) / self.refill_per_s
if deadline is not None:
remaining = deadline - time.monotonic()
if wait_s > remaining:
raise EmsalRateLimited(retry_after=wait_s)
await asyncio.sleep(wait_s)
def penalize_until(self, monotonic_deadline: float) -> None:
"""Pause the bucket until ``monotonic_deadline`` (drains tokens)."""
self._not_before = max(self._not_before, monotonic_deadline)
self._tokens = 0.0
self._last = time.monotonic()
class EmsalApiClient:
"""API Client for Emsal (UYAP Precedent Decision) search system."""
BASE_URL = "https://emsal.uyap.gov.tr"
DETAILED_SEARCH_ENDPOINT = "/aramadetaylist"
DOCUMENT_ENDPOINT = "/getDokuman"
# UYAP Emsal rate-limits per source IP. Defaults mirror the sibling
# Bedesten client (conservative: no burst, ~3.5s spacing). Override via env:
# EMSAL_RATE_CAPACITY (default 1)
# EMSAL_RATE_REFILL_S (default 3.5; seconds per token)
# EMSAL_RATE_MAX_WAIT_S (default 8.0; max local wait before a structured 429)
_DEFAULT_CAPACITY = int(os.getenv("EMSAL_RATE_CAPACITY", "1"))
_DEFAULT_REFILL_S = float(os.getenv("EMSAL_RATE_REFILL_S", "3.5"))
_DEFAULT_MAX_WAIT_S = float(os.getenv("EMSAL_RATE_MAX_WAIT_S", "8.0"))
def __init__(self, request_timeout: float = 30.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
@@ -37,6 +115,27 @@ class EmsalApiClient:
timeout=request_timeout,
verify=False # As per user's original FastAPI code
)
self._bucket = _TokenBucket(
capacity=self._DEFAULT_CAPACITY,
refill_per_s=1.0 / self._DEFAULT_REFILL_S,
)
def _handle_429(self, response: httpx.Response, op: str) -> None:
"""Apply back-pressure to the shared bucket based on Retry-After.
Emsal returns 429 as an HTML error page with no Retry-After header, so
the 30s fallback almost always applies."""
retry_after_raw = response.headers.get("Retry-After", "")
try:
retry_after = float(retry_after_raw)
except (TypeError, ValueError):
retry_after = 30.0
# Cap penalty so a hostile/buggy server can't freeze us indefinitely.
retry_after = max(1.0, min(retry_after, 60.0))
self._bucket.penalize_until(time.monotonic() + retry_after + 0.5)
logger.warning(
f"EmsalApiClient: 429 on {op}; bucket paused {retry_after + 0.5:.1f}s"
)
async def search_detailed_decisions(
self,
@@ -75,7 +174,10 @@ class EmsalApiClient:
async def _execute_api_search(self, endpoint: str, payload: Dict) -> EmsalApiResponse:
"""Helper method to execute search POST request and process response for Emsal."""
try:
await self._bucket.acquire(max_wait=self._DEFAULT_MAX_WAIT_S)
response = await self.http_client.post(endpoint, json=payload)
if response.status_code == 429:
self._handle_429(response, "search")
response.raise_for_status()
response_json_data = response.json()
logger.debug(f"EmsalApiClient: Raw API response from {endpoint}: {response_json_data}")
@@ -142,7 +244,10 @@ class EmsalApiClient:
logger.info(f"EmsalApiClient: Fetching Emsal document for Markdown (ID: {id}) from {source_url}")
try:
await self._bucket.acquire(max_wait=self._DEFAULT_MAX_WAIT_S)
response = await self.http_client.get(document_api_url)
if response.status_code == 429:
self._handle_429(response, f"document {id}")
response.raise_for_status()
# Emsal /getDokuman returns JSON with HTML in 'data' field (confirmed by user example)
@@ -153,7 +258,7 @@ class EmsalApiClient:
logger.warning(f"EmsalApiClient: Received empty or non-string HTML in 'data' field for Emsal ID {id}.")
return EmsalDocumentMarkdown(id=id, markdown_content=None, source_url=source_url)
markdown_content = self._clean_html_and_convert_to_markdown_emsal(html_content_from_api)
markdown_content = await asyncio.to_thread(self._clean_html_and_convert_to_markdown_emsal, html_content_from_api)
return EmsalDocumentMarkdown(
id=id,
+1 -1
View File
@@ -84,7 +84,7 @@ class EmsalApiResponseInnerData(BaseModel):
class EmsalApiResponse(BaseModel):
"""Model for the complete search response from the Emsal API."""
data: EmsalApiResponseInnerData
data: Optional[EmsalApiResponseInnerData] = None
metadata: Optional[Dict[str, Any]] = Field(None, description="Optional metadata (Meta Veri) from API, if any.")
class EmsalDocumentMarkdown(BaseModel):
-46
View File
@@ -1,46 +0,0 @@
# fly.toml app configuration file for yargi-mcp-noauth
#
# See https://fly.io/docs/reference/configuration/ for information about how to use this file.
#
app = 'yargi-mcp-free'
primary_region = 'fra'
[env]
ENABLE_AUTH = "false"
HOST = "0.0.0.0"
PORT = "8000"
LOG_LEVEL = "info"
[build]
[http_service]
internal_port = 8000
force_https = true
auto_stop_machines = 'off'
auto_start_machines = true
min_machines_running = 1
processes = ['app']
# Enable connection persistence for MCP sessions
[http_service.concurrency]
type = "connections"
hard_limit = 100
soft_limit = 80
[[vm]]
memory = '1gb'
cpu_kind = 'shared'
cpus = 1
[deploy]
strategy = "immediate"
[processes]
app = "python asgi_app.py"
[checks.http_health] # keep MCP /health live
type = "http"
interval = "30s"
timeout = "10s"
path = "/health"
-40
View File
@@ -1,40 +0,0 @@
# fly.toml app configuration file generated for yargi-mcp on 2025-06-29T00:23:47+03:00
#
# See https://fly.io/docs/reference/configuration/ for information about how to use this file.
#
app = 'yargi-mcp'
primary_region = 'fra'
[env]
ENABLE_AUTH = "true"
HOST = "0.0.0.0"
PORT = "8000"
LOG_LEVEL = "info"
[build]
[http_service]
internal_port = 8000
force_https = true
auto_stop_machines = 'off'
auto_start_machines = true
min_machines_running = 1
processes = ['app']
# Enable connection persistence for MCP sessions
[http_service.concurrency]
type = "connections"
hard_limit = 100
soft_limit = 80
[[vm]]
memory = '1gb'
cpu_kind = 'shared'
cpus = 1
[checks.http_health] # keep MCP /health live
type = "http"
interval = "30s"
timeout = "10s"
path = "/health"
+1
View File
@@ -0,0 +1 @@
# gib_mcp_module/__init__.py
+355
View File
@@ -0,0 +1,355 @@
# gib_mcp_module/client.py
import asyncio
import httpx
import io
import logging
import math
from typing import Optional, Any, Dict
from markitdown import MarkItDown
from .models import (
GibSearchRequest,
GibOzelgeSummary,
GibSearchResult,
GibDocumentMarkdown,
)
logger = logging.getLogger(__name__)
if not logger.hasHandlers():
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
class GibApiClient:
"""
API client for searching and retrieving GİB özelgeler (Turkish Revenue
Administration tax rulings) via the public gib.gov.tr JSON API.
The endpoint is a single POST list endpoint; document retrieval is done
by filtering the same endpoint with an exact `id`.
"""
BASE_URL = "https://gib.gov.tr/api"
LIST_PATH = "/gibportal/mevzuat/ozelge/list"
DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000
# Fixed filter values required by the backend
_REQUIRED_STATUS = 2
_REQUIRED_DELETED = False
_REQUIRED_KTYPE = 99 # ktype=99 selects özelge
_SORT_FIELD = "ozelgeTarih"
_SORT_TYPE = "DESC"
def __init__(self, request_timeout: float = 60.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
headers={
"Accept": "application/json",
"Accept-Language": "tr-TR,tr;q=0.9,en;q=0.7",
"Content-Type": "application/json",
"User-Agent": "Mozilla/5.0 (compatible; yargi-mcp/1.0; +https://github.com/saidsurucu/yargi-mcp)",
},
timeout=request_timeout,
verify=True,
follow_redirects=True,
)
@staticmethod
def _normalize_date(value: str, end_of_day: bool = False) -> Optional[str]:
"""
Accept 'YYYY-MM-DD' or full ISO 8601; always return full ISO 8601.
GİB backend rejects date-only strings.
"""
if not value:
return None
v = value.strip()
if not v:
return None
# Already ISO with time component
if "T" in v:
return v
# Simple YYYY-MM-DD - expand to start/end of day
suffix = "T23:59:59.999Z" if end_of_day else "T00:00:00.000Z"
return f"{v}{suffix}"
def _build_search_body(self, params: GibSearchRequest) -> Dict[str, Any]:
body: Dict[str, Any] = {
"status": self._REQUIRED_STATUS,
"deleted": self._REQUIRED_DELETED,
"ktype": self._REQUIRED_KTYPE,
}
keywords = params.keywords.strip()
kanun_no = params.kanunNo.strip()
# Frontend sets title/kanunNo/description to the SAME value; the backend
# ORs across them. If the caller supplies both, combine them so kanun_no
# still biases toward ruling text, while keywords remain primary.
search_term = keywords or kanun_no
if keywords and kanun_no and kanun_no not in keywords:
search_term = f"{keywords} {kanun_no}"
if search_term:
body["title"] = search_term
body["kanunNo"] = search_term
body["description"] = search_term
if params.ozelgeNo.strip():
body["ozelgeNo"] = params.ozelgeNo.strip()
if params.kanunId and params.kanunId > 0:
body["kanunIds"] = [params.kanunId]
start_iso = self._normalize_date(params.ozelgeStartDate, end_of_day=False)
end_iso = self._normalize_date(params.ozelgeEndDate, end_of_day=True)
if start_iso:
body["ozelgeStartDate"] = start_iso
if end_iso:
body["ozelgeEndDate"] = end_iso
return body
def _build_query_params(self, page_1_indexed: int, page_size: int) -> Dict[str, Any]:
# API expects 0-indexed page
zero_indexed = max(0, page_1_indexed - 1)
return {
"page": zero_indexed,
"size": page_size,
"sortFieldName": self._SORT_FIELD,
"sortType": self._SORT_TYPE,
}
@staticmethod
def _to_summary(item: Dict[str, Any]) -> Optional[GibOzelgeSummary]:
if not isinstance(item, dict):
return None
raw_id = item.get("id")
if raw_id is None:
return None
try:
ozelge_id = int(raw_id)
except (TypeError, ValueError):
return None
return GibOzelgeSummary(
id=ozelge_id,
ozelgeNo=item.get("ozelgeNo"),
ozelgeTarih=item.get("ozelgeTarih"),
title=item.get("title"),
kanunNo=item.get("kanunNo"),
kanunTitle=item.get("kanunTitle"),
siteLink=item.get("siteLink"),
)
async def search_ozelge(self, params: GibSearchRequest) -> GibSearchResult:
"""Search GİB özelgeler."""
body = self._build_search_body(params)
query = self._build_query_params(params.page, params.pageSize)
logger.info(
"GibApiClient: search page=%s size=%s body_keys=%s",
params.page, params.pageSize, sorted(body.keys()),
)
try:
resp = await self.http_client.post(self.LIST_PATH, params=query, json=body)
resp.raise_for_status()
payload = resp.json()
except httpx.HTTPStatusError as e:
logger.error("GibApiClient: HTTP %s during search", e.response.status_code)
return GibSearchResult(
ozelgeler=[],
total_results=0,
total_pages=0,
current_page=params.page,
page_size=params.pageSize,
)
except Exception as e:
logger.error("GibApiClient: search request failed: %s", e)
return GibSearchResult(
ozelgeler=[],
total_results=0,
total_pages=0,
current_page=params.page,
page_size=params.pageSize,
)
container = (payload or {}).get("resultContainer") or {}
raw_items = container.get("content") or []
summaries = []
for raw in raw_items:
summary = self._to_summary(raw)
if summary is not None:
summaries.append(summary)
total_results = container.get("totalElements") or 0
total_pages = container.get("totalPages") or 0
try:
total_results = int(total_results)
except (TypeError, ValueError):
total_results = 0
try:
total_pages = int(total_pages)
except (TypeError, ValueError):
total_pages = 0
return GibSearchResult(
ozelgeler=summaries,
total_results=total_results,
total_pages=total_pages,
current_page=params.page,
page_size=params.pageSize,
)
def _convert_html_to_markdown(self, html_content: str) -> Optional[str]:
"""Convert HTML content to Markdown using MarkItDown with BytesIO."""
if not html_content:
return None
try:
html_bytes = html_content.encode("utf-8")
html_stream = io.BytesIO(html_bytes)
md_converter = MarkItDown(enable_plugins=False)
result = md_converter.convert(html_stream)
return result.text_content
except Exception as e:
logger.error("GibApiClient: HTML→Markdown conversion failed: %s", e)
return None
@staticmethod
def _build_header_block(item: Dict[str, Any]) -> str:
"""Build a small Markdown header block summarising the ruling metadata."""
parts = []
title = item.get("title")
if title:
parts.append(f"# {title}")
meta_lines = []
if item.get("ozelgeNo"):
meta_lines.append(f"**Sayı:** {item['ozelgeNo']}")
if item.get("ozelgeTarih"):
meta_lines.append(f"**Tarih:** {item['ozelgeTarih']}")
if item.get("kanunTitle"):
kanun_no = item.get("kanunNo")
if kanun_no:
meta_lines.append(f"**Kanun:** {item['kanunTitle']} ({kanun_no})")
else:
meta_lines.append(f"**Kanun:** {item['kanunTitle']}")
if item.get("siteLink"):
meta_lines.append(f"**Kaynak:** {item['siteLink']}")
if meta_lines:
parts.append("\n".join(meta_lines))
return "\n\n".join(parts).strip()
async def get_ozelge_document(
self, ozelge_id: int, page_number: int = 1
) -> GibDocumentMarkdown:
"""Retrieve a single özelge and return its paginated Markdown form."""
logger.info(
"GibApiClient: fetching özelge id=%s page=%s", ozelge_id, page_number
)
if not isinstance(ozelge_id, int) or ozelge_id <= 0:
return GibDocumentMarkdown(
ozelge_id=ozelge_id if isinstance(ozelge_id, int) else 0,
current_page=page_number,
total_pages=0,
is_paginated=False,
error_message="ozelge_id must be a positive integer",
)
body = {
"status": self._REQUIRED_STATUS,
"deleted": self._REQUIRED_DELETED,
"ktype": self._REQUIRED_KTYPE,
"id": ozelge_id,
}
query = {"page": 0, "size": 1}
try:
resp = await self.http_client.post(self.LIST_PATH, params=query, json=body)
resp.raise_for_status()
payload = resp.json()
except httpx.HTTPStatusError as e:
msg = f"HTTP {e.response.status_code} when fetching özelge {ozelge_id}"
logger.error("GibApiClient: %s", msg)
return GibDocumentMarkdown(
ozelge_id=ozelge_id,
current_page=page_number,
total_pages=0,
is_paginated=False,
error_message=msg,
)
except Exception as e:
msg = f"Request failed: {e}"
logger.error("GibApiClient: %s", msg)
return GibDocumentMarkdown(
ozelge_id=ozelge_id,
current_page=page_number,
total_pages=0,
is_paginated=False,
error_message=msg,
)
container = (payload or {}).get("resultContainer") or {}
content = container.get("content") or []
if not content:
return GibDocumentMarkdown(
ozelge_id=ozelge_id,
current_page=page_number,
total_pages=0,
is_paginated=False,
error_message=f"Özelge {ozelge_id} not found",
)
item = content[0] if isinstance(content[0], dict) else {}
description_html = item.get("description") or ""
markdown_body = (await asyncio.to_thread(self._convert_html_to_markdown, description_html)) or ""
header_block = self._build_header_block(item)
if header_block and markdown_body:
full_markdown = f"{header_block}\n\n---\n\n{markdown_body}"
else:
full_markdown = header_block or markdown_body
if not full_markdown.strip():
return GibDocumentMarkdown(
ozelge_id=ozelge_id,
ozelge_no=item.get("ozelgeNo"),
title=item.get("title"),
ozelge_tarih=item.get("ozelgeTarih"),
kanun_title=item.get("kanunTitle"),
kanun_no=item.get("kanunNo"),
site_link=item.get("siteLink"),
current_page=page_number,
total_pages=0,
is_paginated=False,
error_message="Document body is empty",
)
total_pages = max(
1, math.ceil(len(full_markdown) / self.DOCUMENT_MARKDOWN_CHUNK_SIZE)
)
current_page_clamped = max(1, min(page_number, total_pages))
start = (current_page_clamped - 1) * self.DOCUMENT_MARKDOWN_CHUNK_SIZE
end = start + self.DOCUMENT_MARKDOWN_CHUNK_SIZE
chunk = full_markdown[start:end]
return GibDocumentMarkdown(
ozelge_id=ozelge_id,
ozelge_no=item.get("ozelgeNo"),
title=item.get("title"),
ozelge_tarih=item.get("ozelgeTarih"),
kanun_title=item.get("kanunTitle"),
kanun_no=item.get("kanunNo"),
site_link=item.get("siteLink"),
markdown_chunk=chunk,
current_page=current_page_clamped,
total_pages=total_pages,
is_paginated=total_pages > 1,
error_message=None,
)
async def close_client_session(self):
if hasattr(self, "http_client") and self.http_client and not self.http_client.is_closed:
await self.http_client.aclose()
logger.info("GibApiClient: HTTP client session closed.")
+64
View File
@@ -0,0 +1,64 @@
# gib_mcp_module/models.py
from pydantic import BaseModel, Field
from typing import List, Optional
class GibSearchRequest(BaseModel):
"""
Request model for searching GİB özelgeler (Turkish Revenue Administration tax rulings).
GİB (Gelir İdaresi Başkanlığı) publishes official tax-ruling letters
("özelge") responding to taxpayer questions on VAT, income tax,
corporate tax, stamp duty, and other tax matters. 18,000+ rulings
are searchable via the public gib.gov.tr API.
"""
keywords: str = Field("", description="Keywords searched across title, kanunNo and description (Turkish)")
ozelgeNo: str = Field("", description="Exact özelge reference number (e.g., 'E-40247694-130-15524')")
kanunNo: str = Field("", description="Law number filter, e.g. '3065' for KDV")
kanunId: int = Field(0, description="Optional numeric law ID filter (0=ignore)")
ozelgeStartDate: str = Field("", description="Start date YYYY-MM-DD or full ISO 8601")
ozelgeEndDate: str = Field("", description="End date YYYY-MM-DD or full ISO 8601")
page: int = Field(1, ge=1, description="Page number (1-indexed)")
pageSize: int = Field(10, ge=1, le=50, description="Results per page (1-50)")
class GibOzelgeSummary(BaseModel):
"""Summary of a single GİB özelge from search results (no full HTML)."""
id: int = Field(..., description="Numeric özelge ID for document retrieval")
ozelgeNo: Optional[str] = Field(None, description="Official ruling reference number")
ozelgeTarih: Optional[str] = Field(None, description="Ruling date (ISO datetime)")
title: Optional[str] = Field(None, description="Subject/title of the ruling")
kanunNo: Optional[str] = Field(None, description="Law number (e.g., '3065')")
kanunTitle: Optional[str] = Field(None, description="Law title (e.g., 'KATMA DEĞER VERGİSİ KANUNU')")
siteLink: Optional[str] = Field(None, description="Direct URL to the ruling on gib.gov.tr")
class GibSearchResult(BaseModel):
"""Response model for GİB özelge search results."""
ozelgeler: List[GibOzelgeSummary] = Field(default_factory=list, description="Matching özelge summaries")
total_results: int = Field(0, description="Total number of matching özelgeler across all pages")
total_pages: int = Field(0, description="Total number of pages for this query")
current_page: int = Field(1, description="Current page (1-indexed)")
page_size: int = Field(10, description="Results per page")
class GibDocumentMarkdown(BaseModel):
"""
GİB özelge document converted to paginated Markdown.
Long rulings are split into 5000-character chunks; request successive
pages via page_number to read the full text.
"""
ozelge_id: int = Field(..., description="Numeric özelge ID")
ozelge_no: Optional[str] = Field(None, description="Official ruling reference number")
title: Optional[str] = Field(None, description="Subject/title of the ruling")
ozelge_tarih: Optional[str] = Field(None, description="Ruling date (ISO datetime)")
kanun_title: Optional[str] = Field(None, description="Related law title")
kanun_no: Optional[str] = Field(None, description="Related law number")
site_link: Optional[str] = Field(None, description="Direct URL to the ruling on gib.gov.tr")
markdown_chunk: Optional[str] = Field(None, description="Current 5000-character Markdown chunk")
current_page: int = Field(1, description="Current page number (1-indexed)")
total_pages: int = Field(0, description="Total pages for the full Markdown content")
is_paginated: bool = Field(False, description="True if split across multiple pages")
error_message: Optional[str] = Field(None, description="Populated when retrieval failed")
File diff suppressed because it is too large Load Diff
+138 -83
View File
@@ -1,14 +1,23 @@
# kik_mcp_module/client_v2.py
import asyncio
import base64
import httpx
import requests
import logging
import uuid
import base64
import ssl
import os
from typing import Optional
from datetime import datetime
# Cryptography imports for AES-256-CBC encryption of document IDs
try:
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.backends import default_backend
HAS_CRYPTOGRAPHY = True
except ImportError:
HAS_CRYPTOGRAPHY = False
from .models_v2 import (
KikV2DecisionType, KikV2SearchPayload, KikV2SearchPayloadDk, KikV2SearchPayloadMk,
KikV2RequestData, KikV2QueryRequest, KikV2KeyValuePair,
@@ -35,6 +44,60 @@ class KikV2ApiClient:
KikV2DecisionType.MAHKEME: "/b_ihalearaclari/api/KurulKararlari/GetKurulKararlariMk"
}
# AES-256-CBC encryption key for document ID encryption (reverse engineered from ekapv2.kik.gov.tr Angular app)
# This key is used to encrypt numeric gundemMaddesiId values to 64-character hex hashes for document URLs
DOCUMENT_ID_ENCRYPTION_KEY = bytes([
236, 193, 164, 43, 12, 135, 121, 170, 4, 244, 123, 219, 82, 158, 124, 174,
174, 228, 219, 174, 208, 104, 174, 120, 32, 76, 250, 4, 143, 159, 211, 176
])
# AES-192-CBC key (environment.r8fact) used by the Angular HTTP interceptor to sign every
# request. The server decrypts X-Custom-Request-Ts and rejects stale timestamps with
# HTTP 401 "İstek zaman aşımına uğradı.", so these headers MUST be generated per-request
# with the current timestamp (see _generate_security_headers).
REQUEST_SIGNING_KEY = b"Qm2LtXR0aByP69vZNKef4wMJ" # UTF-8 bytes, 24 chars -> AES-192
@staticmethod
def encrypt_document_id(numeric_id: str) -> str:
"""
Encrypt a numeric KİK gundemMaddesiId to the 64-character hex hash
used in document URLs.
Algorithm: AES-256-CBC with PKCS7 padding
Output format: IV (16 bytes hex) + Ciphertext (16 bytes hex) = 64 chars
Args:
numeric_id: The numeric document ID from search results (e.g., "177280")
Returns:
64-character hex string for use in document URL KararId parameter
"""
if not HAS_CRYPTOGRAPHY:
raise ImportError("cryptography library required for document ID encryption")
# Generate random IV (16 bytes)
iv = os.urandom(16)
# Create AES-CBC cipher with the encryption key
cipher = Cipher(
algorithms.AES(KikV2ApiClient.DOCUMENT_ID_ENCRYPTION_KEY),
modes.CBC(iv),
backend=default_backend()
)
encryptor = cipher.encryptor()
# Encode plaintext and apply PKCS7 padding
plaintext = numeric_id.encode('utf-8')
block_size = 16
padding_len = block_size - (len(plaintext) % block_size)
padded_plaintext = plaintext + bytes([padding_len] * padding_len)
# Encrypt
ciphertext = encryptor.update(padded_plaintext) + encryptor.finalize()
# Return IV + ciphertext as lowercase hex (64 characters total)
return iv.hex() + ciphertext.hex()
def __init__(self, request_timeout: float = 60.0):
# Create SSL context with legacy server support
ssl_context = ssl.create_default_context()
@@ -72,21 +135,43 @@ class KikV2ApiClient:
# Generate security headers (these might need to be updated based on API requirements)
self.security_headers = self._generate_security_headers()
def _sign_request_value(self, plaintext: str, iv: bytes) -> str:
"""AES-192-CBC encrypt a value with the request signing key, return base64 ciphertext."""
cipher = Cipher(
algorithms.AES(self.REQUEST_SIGNING_KEY),
modes.CBC(iv),
backend=default_backend()
)
encryptor = cipher.encryptor()
data = plaintext.encode("utf-8")
block_size = 16
padding_len = block_size - (len(data) % block_size)
padded = data + bytes([padding_len] * padding_len)
ciphertext = encryptor.update(padded) + encryptor.finalize()
return base64.b64encode(ciphertext).decode("ascii")
def _generate_security_headers(self) -> dict:
"""
Generate the custom security headers required by KIK v2 API.
These headers appear to be for request validation/encryption.
Generate the custom security headers required by the KIK v2 API.
Mirrors the Angular HTTP interceptor on ekapv2.kik.gov.tr: a random GUID and a
current-timestamp (epoch milliseconds) are AES-192-CBC encrypted with environment.r8fact
using a fresh random IV. The IV is sent as -Siv, the encrypted timestamp as -Ts, and the
encrypted GUID as -R8id. The server validates the decrypted timestamp's freshness, so these
MUST be regenerated on every request; stale values yield HTTP 401 "İstek zaman aşımına uğradı.".
"""
# Generate a random GUID for each session
if not HAS_CRYPTOGRAPHY:
raise ImportError("cryptography library required for KIK v2 request signing")
request_guid = str(uuid.uuid4())
iv = os.urandom(16)
timestamp_ms = str(int(datetime.now().timestamp() * 1000))
# These are example values - in a real implementation, these might need
# to be calculated based on the request content or session
return {
"X-Custom-Request-Guid": request_guid,
"X-Custom-Request-R8id": "hwnOjsN8qdgtDw70x3sKkxab0rj2bQ8Uph4+C+oU+9AMmQqRN3eMOEEeet748DOf",
"X-Custom-Request-Siv": "p2IQRTitF8z7I39nBjdAqA==",
"X-Custom-Request-Ts": "1vB3Wwrt8YQ5U6t3XAzZ+Q=="
"X-Custom-Request-R8id": self._sign_request_value(request_guid, iv),
"X-Custom-Request-Siv": base64.b64encode(iv).decode("ascii"),
"X-Custom-Request-Ts": self._sign_request_value(timestamp_ms, iv),
}
def _build_search_payload(self,
@@ -270,7 +355,7 @@ class KikV2ApiClient:
This method uses a two-step process:
1. Call GetSorgulamaUrl endpoint to get the actual document URL
2. Use Playwright to navigate to that URL and extract content
2. Use httpx to fetch the document content
Args:
document_id: The gundemMaddesiId from search results
@@ -320,92 +405,60 @@ class KikV2ApiClient:
error_message="Could not get document URL from GetSorgulamaUrl API"
)
# Construct full document URL with the actual document ID
document_url = f"{base_document_url}?KararId={document_id}"
# If document_id is numeric, encrypt it to get the KararId hash
# The web interface uses AES-256-CBC encrypted hashes for document URLs
karar_id = document_id
if document_id.isdigit():
try:
karar_id = self.encrypt_document_id(document_id)
logger.info(f"KikV2ApiClient: Encrypted numeric ID {document_id} to hash: {karar_id}")
except Exception as enc_error:
logger.warning(f"KikV2ApiClient: Could not encrypt document ID, using as-is: {enc_error}")
# Construct full document URL with the encrypted KararId
document_url = f"{base_document_url}?KararId={karar_id}"
logger.info(f"KikV2ApiClient: Step 2 - Retrieved document URL: {document_url}")
except Exception as e:
logger.error(f"KikV2ApiClient: Error getting document URL for ID {document_id}: {str(e)}")
# Fallback to old method if GetSorgulamaUrl fails
document_url = f"https://ekap.kik.gov.tr/EKAP/Vatandas/KurulKararGoster.aspx?KararId={document_id}"
# Also encrypt numeric IDs in fallback path
karar_id = document_id
if document_id.isdigit():
try:
karar_id = self.encrypt_document_id(document_id)
logger.info(f"KikV2ApiClient: Encrypted numeric ID in fallback: {karar_id}")
except Exception as enc_error:
logger.warning(f"KikV2ApiClient: Could not encrypt in fallback: {enc_error}")
document_url = f"https://ekap.kik.gov.tr/EKAP/Vatandas/KurulKararGoster.aspx?KararId={karar_id}"
logger.info(f"KikV2ApiClient: Falling back to direct URL: {document_url}")
try:
# Step 2: Use Playwright to get the actual document content
logger.info(f"KikV2ApiClient: Step 2 - Using Playwright to retrieve document from: {document_url}")
# Step 2: Use httpx to get the document content
logger.info(f"KikV2ApiClient: Step 2 - Using httpx to retrieve document from: {document_url}")
try:
from playwright.async_api import async_playwright
# Create a separate httpx client for document retrieval with HTML headers
doc_ssl_context = ssl.create_default_context()
doc_ssl_context.check_hostname = False
doc_ssl_context.verify_mode = ssl.CERT_NONE
if hasattr(ssl, 'OP_LEGACY_SERVER_CONNECT'):
doc_ssl_context.options |= ssl.OP_LEGACY_SERVER_CONNECT
doc_ssl_context.set_ciphers('ALL:!aNULL:!eNULL:!EXPORT:!DES:!RC4:!MD5:!PSK:!SRP:!CAMELLIA')
async with async_playwright() as p:
# Launch browser
browser = await p.chromium.launch(
headless=True,
args=['--no-sandbox', '--disable-dev-shm-usage']
)
page = await browser.new_page(
user_agent="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36"
)
# Navigate to document page with longer timeout for JS loading
await page.goto(document_url, wait_until="networkidle", timeout=15000)
# Wait for the document content to load (KİK pages might need more time for JS execution)
await page.wait_for_timeout(3000)
# Wait for Angular/Zone.js to finish loading and document to be ready
try:
# Wait for Angular zone to be available (this JavaScript code you showed)
await page.wait_for_function(
"typeof Zone !== 'undefined' && Zone.current",
timeout=10000
)
# Wait for network to be idle after Angular bootstrap
await page.wait_for_load_state("networkidle", timeout=10000)
# Wait for specific document content to appear
await page.wait_for_function(
"""
document.body.textContent.length > 5000 &&
(document.body.textContent.includes('Karar') ||
document.body.textContent.includes('KURUL') ||
document.body.textContent.includes('Gündem') ||
document.body.textContent.includes('Toplantı'))
""",
timeout=15000
)
logger.info("KikV2ApiClient: Angular document content loaded successfully")
except Exception as e:
logger.warning(f"KikV2ApiClient: Angular content loading timed out, proceeding anyway: {str(e)}")
# Give a bit more time for any remaining content to load
await page.wait_for_timeout(5000)
# Get page content
html_content = await page.content()
await browser.close()
logger.info(f"KikV2ApiClient: Retrieved content via Playwright, length: {len(html_content)}")
except ImportError:
logger.info("KikV2ApiClient: Playwright not available, falling back to httpx")
# Fallback to httpx
response = await self.http_client.get(
document_url,
async with httpx.AsyncClient(
verify=doc_ssl_context,
headers={
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
"Accept-Language": "tr,en-US;q=0.5",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36",
"Referer": "https://ekap.kik.gov.tr/",
"Cache-Control": "no-cache"
}
)
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36"
},
timeout=60.0,
follow_redirects=True
) as doc_client:
response = await doc_client.get(document_url)
response.raise_for_status()
html_content = response.text
logger.info(f"KikV2ApiClient: Retrieved content via httpx, length: {len(html_content)}")
# Convert HTML to Markdown using MarkItDown with BytesIO
try:
@@ -416,7 +469,9 @@ class KikV2ApiClient:
html_bytes = html_content.encode('utf-8')
html_stream = BytesIO(html_bytes)
result = md.convert_stream(html_stream, file_extension=".html")
# markitdown is sync; offload to thread so HTML parsing doesn't
# block the event-loop / other in-flight MCP requests.
result = await asyncio.to_thread(md.convert_stream, html_stream, file_extension=".html")
markdown_content = result.text_content
return KikV2DocumentMarkdown(
-74
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@@ -1,74 +0,0 @@
# kik_mcp_module/models.py
from pydantic import BaseModel, Field, HttpUrl, computed_field, ConfigDict
from typing import List, Optional
from enum import Enum
import base64 # Base64 encoding/decoding için
class KikKararTipi(str, Enum):
"""Enum for KIK (Public Procurement Authority) Decision Types."""
UYUSMAZLIK = "rbUyusmazlik"
DUZENLEYICI = "rbDuzenleyici"
MAHKEME = "rbMahkeme"
class KikSearchRequest(BaseModel):
"""Model for KIK Decision search criteria."""
karar_tipi: KikKararTipi = Field(KikKararTipi.UYUSMAZLIK, description="Type")
karar_no: str = Field("", description="No")
karar_tarihi_baslangic: str = Field("", description="Start", pattern=r"^\d{2}\.\d{2}\.\d{4}$|^$")
karar_tarihi_bitis: str = Field("", description="End", pattern=r"^\d{2}\.\d{2}\.\d{4}$|^$")
resmi_gazete_sayisi: str = Field("", description="Gazette")
resmi_gazete_tarihi: str = Field("", description="Date", pattern=r"^\d{2}\.\d{2}\.\d{4}$|^$")
basvuru_konusu_ihale: str = Field("", description="Subject")
basvuru_sahibi: str = Field("", description="Applicant")
ihaleyi_yapan_idare: str = Field("", description="Entity")
yil: str = Field("", description="Year")
karar_metni: str = Field("", description="Text")
page: int = Field(1, ge=1, description="Page")
class KikDecisionEntry(BaseModel):
"""Represents a single decision entry from KIK search results."""
preview_event_target: str = Field(..., description="Event target")
karar_no_str: str = Field(..., alias="kararNo", description="Decision number")
karar_tipi: KikKararTipi = Field(..., description="Decision type")
karar_tarihi_str: str = Field(..., alias="kararTarihi", description="Date")
idare_str: str = Field("", alias="idare", description="Entity")
basvuru_sahibi_str: str = Field("", alias="basvuruSahibi", description="Applicant")
ihale_konusu_str: str = Field("", alias="ihaleKonusu", description="Subject")
@computed_field
@property
def karar_id(self) -> str:
"""
A Base64 encoded unique ID for the decision, combining decision type and number.
Format before encoding: "{karar_tipi.value}|{karar_no_str}"
"""
combined_key = f"{self.karar_tipi.value}|{self.karar_no_str}"
return base64.b64encode(combined_key.encode('utf-8')).decode('utf-8')
model_config = ConfigDict(populate_by_name=True)
class KikSearchResult(BaseModel):
"""Model for KIK search results."""
decisions: List[KikDecisionEntry]
total_records: int = 0
current_page: int = 1
class KikDocumentMarkdown(BaseModel):
"""
KIK decision document, with Markdown content potentially paginated.
"""
retrieved_with_karar_id: Optional[str] = Field(None, description="Request ID")
retrieved_karar_no: Optional[str] = Field(None, description="Decision number")
retrieved_karar_tipi: Optional[KikKararTipi] = Field(None, description="Decision type")
karar_id_param_from_url: Optional[str] = Field(None, alias="kararIdParam", description="Internal ID")
markdown_chunk: Optional[str] = Field(None, description="Content")
source_url: Optional[str] = Field(None, description="Source URL")
error_message: Optional[str] = Field(None, description="Error")
current_page: int = Field(1, description="Page")
total_pages: int = Field(1, description="Total pages")
is_paginated: bool = Field(False, description="Paginated")
full_content_char_count: Optional[int] = Field(None, description="Char count")
model_config = ConfigDict(populate_by_name=True)
+2 -1
View File
@@ -1,5 +1,6 @@
# kvkk_mcp_module/client.py
import asyncio
import httpx
from bs4 import BeautifulSoup
from typing import List, Optional, Dict, Any
@@ -291,7 +292,7 @@ class KvkkApiClient:
# Convert HTML content to Markdown
full_markdown_content = None
if extracted_data["html_content"]:
full_markdown_content = self._convert_html_to_markdown(extracted_data["html_content"])
full_markdown_content = await asyncio.to_thread(self._convert_html_to_markdown, extracted_data["html_content"])
if not full_markdown_content:
return KvkkDocumentMarkdown(
-28
View File
@@ -1,28 +0,0 @@
"""
MCP Auth Toolkit - OAuth 2.1 + Authorization for Model Context Protocol Servers
Integrated with Clerk Authentication
"""
from .middleware import (
AuthContext,
FastMCPAuthWrapper,
MCPAuthMiddleware,
auth_required,
)
from .oauth import OAuthConfig, OAuthProvider
from .policy import PolicyEngine, ToolPolicy, create_default_policies
from .storage import PersistentStorage
__version__ = "0.1.0"
__all__ = [
"OAuthProvider",
"OAuthConfig",
"AuthContext",
"auth_required",
"create_default_policies",
"MCPAuthMiddleware",
"FastMCPAuthWrapper",
"PolicyEngine",
"ToolPolicy",
"PersistentStorage",
]
-73
View File
@@ -1,73 +0,0 @@
"""
Clerk OAuth configuration for MCP Auth Toolkit
"""
import os
import logging
from .oauth import OAuthConfig
logger = logging.getLogger(__name__)
def create_clerk_oauth_config() -> OAuthConfig:
"""Create OAuth configuration for Clerk integration using SDK"""
# Get Clerk configuration from environment
clerk_domain = os.getenv("CLERK_DOMAIN", "accounts.yargimcp.com")
clerk_publishable_key = os.getenv("CLERK_PUBLISHABLE_KEY")
clerk_secret_key = os.getenv("CLERK_SECRET_KEY")
if not clerk_publishable_key or not clerk_secret_key:
raise ValueError("CLERK_PUBLISHABLE_KEY and CLERK_SECRET_KEY are required")
# For Clerk with custom domains, we use our adapter endpoints
# This allows us to handle the custom domain flow properly
base_url = os.getenv("BASE_URL", "https://yargimcp.com")
config = OAuthConfig(
client_id=clerk_publishable_key,
client_secret=clerk_secret_key,
# Use our adapter endpoints instead of Clerk's direct endpoints
authorization_endpoint=f"{base_url}/authorize",
token_endpoint=f"{base_url}/token",
# Keep Clerk's JWKS for token validation
jwks_uri=f"https://{clerk_domain}/.well-known/jwks.json",
issuer=base_url, # We're the issuer for MCP tokens
scopes=["mcp:tools:read", "mcp:tools:write", "openid", "profile", "email"]
)
logger.info(f"Created Clerk OAuth config with adapter endpoints")
logger.info(f"Clerk domain: {clerk_domain}")
logger.debug(f"Authorization endpoint: {config.authorization_endpoint}")
logger.debug(f"Token endpoint: {config.token_endpoint}")
return config
def get_jwt_secret() -> str:
"""Get JWT secret for token signing"""
jwt_secret = os.getenv("JWT_SECRET_KEY")
if not jwt_secret:
raise ValueError("JWT_SECRET_KEY environment variable is required")
return jwt_secret
def create_mcp_server_config():
"""Create complete MCP server configuration for Clerk integration"""
try:
oauth_config = create_clerk_oauth_config()
jwt_secret = get_jwt_secret()
return {
"oauth_config": oauth_config,
"jwt_secret": jwt_secret,
"base_url": os.getenv("BASE_URL", "https://yargi-mcp.fly.dev"),
"auth_enabled": os.getenv("ENABLE_AUTH", "true").lower() == "true"
}
except Exception as e:
logger.error(f"Failed to create MCP server config: {e}")
raise
-315
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@@ -1,315 +0,0 @@
"""
MCP server middleware for OAuth authentication and authorization
"""
import functools
import logging
from collections.abc import Callable
from dataclasses import dataclass
from typing import Any, Optional
logger = logging.getLogger(__name__)
try:
from fastmcp import FastMCP
FASTMCP_AVAILABLE = True
except ImportError:
FASTMCP_AVAILABLE = False
FastMCP = None
logger.warning("FastMCP not available, some features will be disabled")
from .oauth import OAuthProvider
from .policy import PolicyEngine
@dataclass
class AuthContext:
"""Authentication context passed to MCP tools"""
user_id: str
scopes: list[str]
claims: dict[str, Any]
token: str
class MCPAuthMiddleware:
"""Authentication middleware for MCP servers"""
def __init__(self, oauth_provider: OAuthProvider, policy_engine: PolicyEngine):
self.oauth_provider = oauth_provider
self.policy_engine = policy_engine
def authenticate_request(self, authorization_header: str) -> AuthContext | None:
"""Extract and validate auth token from request"""
if not authorization_header:
logger.debug("No authorization header provided")
return None
if not authorization_header.startswith("Bearer "):
logger.debug("Authorization header does not start with 'Bearer '")
return None
token = authorization_header[7:] # Remove 'Bearer ' prefix
token_info = self.oauth_provider.introspect_token(token)
if not token_info.get("active"):
logger.warning("Token is not active")
return None
logger.debug(f"Authenticated user: {token_info.get('sub', 'unknown')}")
return AuthContext(
user_id=token_info.get("sub", "unknown"),
scopes=token_info.get("mcp_tool_scopes", []),
claims=token_info,
token=token,
)
def authorize_tool_call(
self, tool_name: str, auth_context: AuthContext
) -> tuple[bool, str | None]:
"""Check if user can call the specified tool"""
return self.policy_engine.authorize_tool_call(
tool_name=tool_name,
user_scopes=auth_context.scopes,
user_claims=auth_context.claims,
)
def auth_required(
oauth_provider: OAuthProvider,
policy_engine: PolicyEngine,
tool_name: str | None = None,
):
"""
Decorator to require authentication for MCP tool functions
Usage:
@auth_required(oauth_provider, policy_engine, "search_yargitay")
def my_tool_function(context: AuthContext, ...):
pass
"""
def decorator(func: Callable) -> Callable:
middleware = MCPAuthMiddleware(oauth_provider, policy_engine)
@functools.wraps(func)
async def wrapper(*args, **kwargs):
# Extract authorization header from kwargs
auth_header = kwargs.pop("authorization", None)
# Also check in args if it's a Request object
if not auth_header and args:
for arg in args:
if hasattr(arg, 'headers'):
auth_header = arg.headers.get("Authorization")
break
if not auth_header:
logger.warning(f"No authorization header for tool '{tool_name or func.__name__}'")
raise PermissionError("Authorization header required")
auth_context = middleware.authenticate_request(auth_header)
if not auth_context:
logger.warning(f"Authentication failed for tool '{tool_name or func.__name__}'")
raise PermissionError("Invalid or expired token")
actual_tool_name = tool_name or func.__name__
authorized, reason = middleware.authorize_tool_call(
actual_tool_name, auth_context
)
if not authorized:
logger.warning(f"Authorization failed for tool '{actual_tool_name}': {reason}")
raise PermissionError(f"Access denied: {reason}")
# Add auth context to function call
return await func(auth_context, *args, **kwargs)
return wrapper
return decorator
class FastMCPAuthWrapper:
"""Wrapper for FastMCP servers to add authentication"""
def __init__(
self,
mcp_server: "FastMCP",
oauth_provider: OAuthProvider,
policy_engine: PolicyEngine,
):
if not FASTMCP_AVAILABLE:
raise ImportError("FastMCP is required for FastMCPAuthWrapper")
self.mcp_server = mcp_server
self.middleware = MCPAuthMiddleware(oauth_provider, policy_engine)
self.oauth_provider = oauth_provider
logger.info("Initializing FastMCP authentication wrapper")
self._wrap_tools()
def _wrap_tools(self):
"""Wrap all existing tools with auth middleware"""
# Try different FastMCP tool storage locations
tool_registry = None
if hasattr(self.mcp_server, '_tools'):
tool_registry = self.mcp_server._tools
elif hasattr(self.mcp_server, 'tools'):
tool_registry = self.mcp_server.tools
elif hasattr(self.mcp_server, '_tool_registry'):
tool_registry = self.mcp_server._tool_registry
elif hasattr(self.mcp_server, '_handlers') and hasattr(self.mcp_server._handlers, 'tools'):
tool_registry = self.mcp_server._handlers.tools
if not tool_registry:
logger.warning("FastMCP server tool registry not found, tools will not be automatically wrapped")
logger.debug(f"Available server attributes: {dir(self.mcp_server)}")
return
logger.debug(f"Found tool registry with {len(tool_registry)} tools")
original_tools = dict(tool_registry)
wrapped_count = 0
for tool_name, tool_func in original_tools.items():
try:
wrapped_func = self._create_auth_wrapper(tool_name, tool_func)
tool_registry[tool_name] = wrapped_func
wrapped_count += 1
logger.debug(f"Wrapped tool: {tool_name}")
except Exception as e:
logger.error(f"Failed to wrap tool {tool_name}: {e}")
logger.info(f"Successfully wrapped {wrapped_count} tools with authentication")
def _create_auth_wrapper(self, tool_name: str, original_func: Callable) -> Callable:
"""Create auth wrapper for a specific tool"""
@functools.wraps(original_func)
async def auth_wrapper(*args, **kwargs):
# Extract authorization from various sources
auth_header = None
# Check kwargs first
auth_header = kwargs.pop("authorization", None)
# Check if first argument is a Request object
if not auth_header and args:
first_arg = args[0]
if hasattr(first_arg, 'headers'):
auth_header = first_arg.headers.get("Authorization")
if not auth_header:
logger.warning(f"No authorization header for tool '{tool_name}'")
raise PermissionError("Authorization required")
auth_context = self.middleware.authenticate_request(auth_header)
if not auth_context:
logger.warning(f"Authentication failed for tool '{tool_name}'")
raise PermissionError("Invalid token")
authorized, reason = self.middleware.authorize_tool_call(
tool_name, auth_context
)
if not authorized:
logger.warning(f"Authorization failed for tool '{tool_name}': {reason}")
raise PermissionError(f"Access denied: {reason}")
# Add auth context to kwargs
kwargs["auth_context"] = auth_context
logger.debug(f"Calling tool '{tool_name}' for user {auth_context.user_id}")
return await original_func(*args, **kwargs)
return auth_wrapper
def add_oauth_endpoints(self):
"""Add OAuth endpoints to the MCP server"""
@self.mcp_server.tool(
description="Initiate OAuth 2.1 authorization flow with PKCE",
annotations={"readOnlyHint": True, "idempotentHint": False}
)
async def oauth_authorize(redirect_uri: str, scopes: Optional[str] = None):
"""OAuth authorization endpoint"""
scope_list = scopes.split(" ") if scopes else None
auth_url, pkce = self.oauth_provider.generate_authorization_url(
redirect_uri=redirect_uri, scopes=scope_list
)
logger.info(f"Generated authorization URL for redirect_uri: {redirect_uri}")
return {
"authorization_url": auth_url,
"code_verifier": pkce.verifier, # For PKCE flow
"code_challenge": pkce.challenge,
"instructions": "Use the authorization_url to complete OAuth flow, then exchange the returned code using oauth_token tool"
}
@self.mcp_server.tool(
description="Exchange OAuth authorization code for access token",
annotations={"readOnlyHint": False, "idempotentHint": False}
)
async def oauth_token(
code: str,
state: str,
redirect_uri: str
):
"""OAuth token exchange endpoint"""
try:
result = await self.oauth_provider.exchange_code_for_token(
code=code, state=state, redirect_uri=redirect_uri
)
logger.info("Successfully exchanged authorization code for token")
return result
except Exception as e:
logger.error(f"Token exchange failed: {e}")
raise
@self.mcp_server.tool(
description="Validate and introspect OAuth access token",
annotations={"readOnlyHint": True, "idempotentHint": True}
)
async def oauth_introspect(token: str):
"""Token introspection endpoint"""
result = self.oauth_provider.introspect_token(token)
logger.debug(f"Token introspection: active={result.get('active', False)}")
return result
@self.mcp_server.tool(
description="Revoke OAuth access token",
annotations={"readOnlyHint": False, "idempotentHint": False}
)
async def oauth_revoke(token: str):
"""Token revocation endpoint"""
success = self.oauth_provider.revoke_token(token)
logger.info(f"Token revocation: success={success}")
return {"revoked": success}
@self.mcp_server.tool(
description="Get list of tools available to authenticated user",
annotations={"readOnlyHint": True, "idempotentHint": True}
)
async def oauth_user_tools(authorization: str):
"""Get user's allowed tools based on scopes"""
auth_context = self.middleware.authenticate_request(authorization)
if not auth_context:
raise PermissionError("Invalid token")
allowed_patterns = self.middleware.policy_engine.get_allowed_tools(auth_context.scopes)
return {
"user_id": auth_context.user_id,
"scopes": auth_context.scopes,
"allowed_tool_patterns": allowed_patterns,
"message": "Use these patterns to determine which tools you can access"
}
logger.info("Added OAuth endpoints: oauth_authorize, oauth_token, oauth_introspect, oauth_revoke, oauth_user_tools")
-304
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@@ -1,304 +0,0 @@
"""
OAuth 2.1 + PKCE implementation for MCP servers with Clerk integration
"""
import base64
import hashlib
import secrets
import time
import logging
from dataclasses import dataclass
from datetime import datetime, timedelta
from typing import Any, Optional
from urllib.parse import urlencode
import httpx
import jwt
from jwt.exceptions import PyJWTError, InvalidTokenError
from .storage import PersistentStorage
# Try to import Clerk SDK
try:
from clerk_backend_api import Clerk
CLERK_AVAILABLE = True
except ImportError:
CLERK_AVAILABLE = False
Clerk = None
logger = logging.getLogger(__name__)
@dataclass
class OAuthConfig:
"""OAuth provider configuration for Clerk"""
client_id: str
client_secret: str
authorization_endpoint: str
token_endpoint: str
jwks_uri: str | None = None
issuer: str = "mcp-auth"
scopes: list[str] = None
def __post_init__(self):
if self.scopes is None:
self.scopes = ["mcp:tools:read", "mcp:tools:write"]
class PKCEChallenge:
"""PKCE challenge/verifier pair for OAuth 2.1"""
def __init__(self):
self.verifier = (
base64.urlsafe_b64encode(secrets.token_bytes(32))
.decode("utf-8")
.rstrip("=")
)
challenge_bytes = hashlib.sha256(self.verifier.encode("utf-8")).digest()
self.challenge = (
base64.urlsafe_b64encode(challenge_bytes).decode("utf-8").rstrip("=")
)
class OAuthProvider:
"""OAuth 2.1 provider with PKCE support and Clerk integration"""
def __init__(self, config: OAuthConfig, jwt_secret: str):
self.config = config
self.jwt_secret = jwt_secret
# Use persistent storage instead of memory
self.storage = PersistentStorage()
# Initialize Clerk SDK if available
self.clerk = None
if CLERK_AVAILABLE and config.client_secret:
try:
self.clerk = Clerk(bearer_auth=config.client_secret)
logger.info("Clerk SDK initialized successfully")
except Exception as e:
logger.warning(f"Failed to initialize Clerk SDK: {e}")
logger.info("OAuth provider initialized with persistent storage")
def generate_authorization_url(
self,
redirect_uri: str,
state: str | None = None,
scopes: list[str] | None = None,
) -> tuple[str, PKCEChallenge]:
"""Generate OAuth authorization URL with PKCE for Clerk"""
pkce = PKCEChallenge()
session_id = secrets.token_urlsafe(32)
if state is None:
state = secrets.token_urlsafe(16)
if scopes is None:
scopes = self.config.scopes
# Store session data with expiration
session_data = {
"pkce_verifier": pkce.verifier,
"state": state,
"redirect_uri": redirect_uri,
"scopes": scopes,
"created_at": time.time(),
"expires_at": (datetime.utcnow() + timedelta(minutes=10)).timestamp(),
}
self.storage.set_session(session_id, session_data)
# Build Clerk OAuth URL
# Check if this is a custom domain (sign-in endpoint)
if self.config.authorization_endpoint.endswith('/sign-in'):
# For custom domains, Clerk expects redirect_url parameter
params = {
"redirect_url": redirect_uri,
"state": f"{state}:{session_id}",
}
auth_url = f"{self.config.authorization_endpoint}?{urlencode(params)}"
else:
# Standard OAuth flow with PKCE
params = {
"response_type": "code",
"client_id": self.config.client_id,
"redirect_uri": redirect_uri,
"scope": " ".join(scopes),
"state": f"{state}:{session_id}", # Combine state with session ID
"code_challenge": pkce.challenge,
"code_challenge_method": "S256",
}
auth_url = f"{self.config.authorization_endpoint}?{urlencode(params)}"
logger.info(f"Generated OAuth URL with session {session_id[:8]}...")
logger.debug(f"Auth URL: {auth_url}")
return auth_url, pkce
async def exchange_code_for_token(
self, code: str, state: str, redirect_uri: str
) -> dict[str, Any]:
"""Exchange authorization code for access token with Clerk"""
try:
original_state, session_id = state.split(":", 1)
except ValueError as e:
logger.error(f"Invalid state format: {state}")
raise ValueError("Invalid state format") from e
session = self.storage.get_session(session_id)
if not session:
logger.error(f"Session {session_id} not found")
raise ValueError("Invalid session")
# Check session expiration
if datetime.utcnow().timestamp() > session.get("expires_at", 0):
self.storage.delete_session(session_id)
logger.error(f"Session {session_id} expired")
raise ValueError("Session expired")
if session["state"] != original_state:
logger.error(f"State mismatch: expected {session['state']}, got {original_state}")
raise ValueError("State mismatch")
if session["redirect_uri"] != redirect_uri:
logger.error(f"Redirect URI mismatch: expected {session['redirect_uri']}, got {redirect_uri}")
raise ValueError("Redirect URI mismatch")
# Prepare token exchange request for Clerk
token_data = {
"grant_type": "authorization_code",
"client_id": self.config.client_id,
"client_secret": self.config.client_secret,
"code": code,
"redirect_uri": redirect_uri,
"code_verifier": session["pkce_verifier"],
}
logger.info(f"Exchanging code with Clerk for session {session_id[:8]}...")
async with httpx.AsyncClient() as client:
response = await client.post(
self.config.token_endpoint,
data=token_data,
headers={"Content-Type": "application/x-www-form-urlencoded"},
timeout=30.0,
)
if response.status_code != 200:
logger.error(f"Clerk token exchange failed: {response.status_code} - {response.text}")
raise ValueError(f"Token exchange failed: {response.text}")
token_response = response.json()
logger.info("Successfully exchanged code for Clerk token")
# Create MCP-scoped JWT token
access_token = self._create_mcp_token(
session["scopes"], token_response.get("access_token"), session_id
)
# Store token for introspection
token_id = secrets.token_urlsafe(16)
token_data = {
"access_token": access_token,
"scopes": session["scopes"],
"created_at": time.time(),
"expires_at": (datetime.utcnow() + timedelta(hours=1)).timestamp(),
"session_id": session_id,
"clerk_token": token_response.get("access_token"),
}
self.storage.set_token(token_id, token_data)
# Clean up session
self.storage.delete_session(session_id)
return {
"access_token": access_token,
"token_type": "bearer",
"expires_in": 3600,
"scope": " ".join(session["scopes"]),
}
def validate_pkce(self, code_verifier: str, code_challenge: str) -> bool:
"""Validate PKCE code challenge (RFC 7636)"""
# S256 method
verifier_hash = hashlib.sha256(code_verifier.encode()).digest()
expected_challenge = base64.urlsafe_b64encode(verifier_hash).decode().rstrip('=')
return expected_challenge == code_challenge
def _create_mcp_token(
self, scopes: list[str], upstream_token: str, session_id: str
) -> str:
"""Create MCP-scoped JWT token with Clerk token embedded"""
now = int(time.time())
payload = {
"iss": self.config.issuer,
"sub": session_id,
"aud": "mcp-server",
"iat": now,
"exp": now + 3600, # 1 hour expiration
"mcp_tool_scopes": scopes,
"upstream_token": upstream_token,
"clerk_integration": True,
}
return jwt.encode(payload, self.jwt_secret, algorithm="HS256")
def introspect_token(self, token: str) -> dict[str, Any]:
"""Introspect and validate MCP token"""
try:
payload = jwt.decode(token, self.jwt_secret, algorithms=["HS256"])
# Check if token is expired
if payload.get("exp", 0) < time.time():
return {"active": False, "error": "token_expired"}
return {
"active": True,
"sub": payload.get("sub"),
"aud": payload.get("aud"),
"iss": payload.get("iss"),
"exp": payload.get("exp"),
"iat": payload.get("iat"),
"mcp_tool_scopes": payload.get("mcp_tool_scopes", []),
"upstream_token": payload.get("upstream_token"),
"clerk_integration": payload.get("clerk_integration", False),
}
except PyJWTError as e:
logger.warning(f"Token validation failed: {e}")
return {"active": False, "error": "invalid_token"}
def revoke_token(self, token: str) -> bool:
"""Revoke a token"""
try:
payload = jwt.decode(token, self.jwt_secret, algorithms=["HS256"])
session_id = payload.get("sub")
# Remove all tokens associated with this session
all_tokens = self.storage.get_tokens()
tokens_to_remove = [
token_id
for token_id, token_data in all_tokens.items()
if token_data.get("session_id") == session_id
]
for token_id in tokens_to_remove:
self.storage.delete_token(token_id)
logger.info(f"Revoked {len(tokens_to_remove)} tokens for session {session_id}")
return True
except InvalidTokenError as e:
logger.warning(f"Token revocation failed: {e}")
return False
def cleanup_expired_sessions(self):
"""Clean up expired sessions and tokens"""
# This is now handled automatically by persistent storage
self.storage.cleanup_expired_sessions()
logger.debug("Cleanup completed via persistent storage")
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@@ -1,201 +0,0 @@
"""
Authorization policy engine for MCP tools
"""
import re
import logging
from dataclasses import dataclass
from enum import Enum
from typing import Any
logger = logging.getLogger(__name__)
class PolicyAction(Enum):
ALLOW = "allow"
DENY = "deny"
@dataclass
class ToolPolicy:
"""Policy rule for MCP tool access"""
tool_pattern: str # regex pattern for tool names
required_scopes: list[str]
action: PolicyAction = PolicyAction.ALLOW
conditions: dict[str, Any] | None = None
def matches_tool(self, tool_name: str) -> bool:
"""Check if the policy applies to given tool"""
return bool(re.match(self.tool_pattern, tool_name))
def evaluate_scopes(self, user_scopes: list[str]) -> bool:
"""Check if user has required scopes"""
return all(scope in user_scopes for scope in self.required_scopes)
class PolicyEngine:
"""Authorization policy engine for Turkish legal database tools"""
def __init__(self):
self.policies: list[ToolPolicy] = []
self.default_action = PolicyAction.DENY
def add_policy(self, policy: ToolPolicy):
"""Add a policy rule"""
self.policies.append(policy)
logger.debug(f"Added policy: {policy.tool_pattern} -> {policy.required_scopes}")
def add_tool_scope_policy(
self,
tool_pattern: str,
required_scopes: str | list[str],
action: PolicyAction = PolicyAction.ALLOW,
):
"""Convenience method to add tool-scope policy"""
if isinstance(required_scopes, str):
required_scopes = [required_scopes]
policy = ToolPolicy(
tool_pattern=tool_pattern, required_scopes=required_scopes, action=action
)
self.add_policy(policy)
def authorize_tool_call(
self,
tool_name: str,
user_scopes: list[str],
user_claims: dict[str, Any] | None = None,
) -> tuple[bool, str | None]:
"""
Authorize a tool call
Returns:
(authorized: bool, reason: Optional[str])
"""
logger.debug(f"Authorizing tool '{tool_name}' for user with scopes: {user_scopes}")
matching_policies = [
policy for policy in self.policies if policy.matches_tool(tool_name)
]
if not matching_policies:
if self.default_action == PolicyAction.ALLOW:
logger.debug(f"No policies found for '{tool_name}', allowing by default")
return True, None
else:
logger.warning(f"No policies found for '{tool_name}', denying by default")
return False, f"No policy found for tool '{tool_name}', default deny"
# Check for explicit deny policies first
for policy in matching_policies:
if policy.action == PolicyAction.DENY:
if policy.evaluate_scopes(user_scopes):
logger.warning(f"Explicit deny policy matched for '{tool_name}'")
return False, f"Explicit deny policy for tool '{tool_name}'"
# Check allow policies
allow_policies = [
p for p in matching_policies if p.action == PolicyAction.ALLOW
]
if not allow_policies:
logger.warning(f"No allow policies found for '{tool_name}'")
return False, f"No allow policies found for tool '{tool_name}'"
for policy in allow_policies:
if policy.evaluate_scopes(user_scopes):
if self._evaluate_conditions(policy.conditions, user_claims):
logger.debug(f"Authorization granted for '{tool_name}'")
return True, None
logger.warning(f"Insufficient scopes for '{tool_name}'. Required: {[p.required_scopes for p in allow_policies]}, User has: {user_scopes}")
return False, f"Insufficient scopes for tool '{tool_name}'"
def _evaluate_conditions(
self,
conditions: dict[str, Any] | None,
user_claims: dict[str, Any] | None,
) -> bool:
"""Evaluate additional policy conditions"""
if not conditions:
return True
if not user_claims:
logger.debug("No user claims provided, conditions evaluation failed")
return False
for key, expected_value in conditions.items():
user_value = user_claims.get(key)
if isinstance(expected_value, list):
if user_value not in expected_value:
logger.debug(f"Condition failed: {key} = {user_value} not in {expected_value}")
return False
elif user_value != expected_value:
logger.debug(f"Condition failed: {key} = {user_value} != {expected_value}")
return False
return True
def get_allowed_tools(self, user_scopes: list[str]) -> list[str]:
"""Get list of tool patterns user is allowed to call"""
allowed_tools = []
for policy in self.policies:
if policy.action == PolicyAction.ALLOW and policy.evaluate_scopes(
user_scopes
):
allowed_tools.append(policy.tool_pattern)
return allowed_tools
def create_turkish_legal_policies() -> PolicyEngine:
"""Create policy set for Turkish legal database MCP server"""
engine = PolicyEngine()
# Administrative tools (full access)
engine.add_tool_scope_policy(".*", ["mcp:tools:admin"])
# Search tools - require read access
engine.add_tool_scope_policy("search.*", ["mcp:tools:read"])
# Fetch/get document tools - require read access
engine.add_tool_scope_policy("get_.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("fetch.*", ["mcp:tools:read"])
# Specific Turkish legal database tools
engine.add_tool_scope_policy("search_yargitay.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_danistay.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_anayasa.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_rekabet.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_kik.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_emsal.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_uyusmazlik.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_sayistay.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_.*_bedesten", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_yerel_hukuk.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_istinaf_hukuk.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_kyb.*", ["mcp:tools:read"])
# Document retrieval tools
engine.add_tool_scope_policy("get_.*_document.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("get_.*_markdown", ["mcp:tools:read"])
# Write operations (if any future tools need them)
engine.add_tool_scope_policy("create_.*", ["mcp:tools:write"])
engine.add_tool_scope_policy("update_.*", ["mcp:tools:write"])
engine.add_tool_scope_policy("delete_.*", ["mcp:tools:write"])
logger.info("Created Turkish legal database policy engine")
return engine
def create_default_policies() -> PolicyEngine:
"""Create a default policy set for MCP servers (backwards compatibility)"""
return create_turkish_legal_policies()
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@@ -1,112 +0,0 @@
"""
Persistent storage for OAuth sessions and tokens
"""
import json
import os
import tempfile
import logging
from datetime import datetime
from typing import Dict, Any, Optional
logger = logging.getLogger(__name__)
class PersistentStorage:
"""File-based persistent storage for OAuth data"""
def __init__(self, storage_dir: str = None):
if storage_dir is None:
# Use system temp directory or environment variable
storage_dir = os.environ.get('TEMP', tempfile.gettempdir())
self.storage_dir = os.path.join(storage_dir, 'mcp_oauth_storage')
os.makedirs(self.storage_dir, exist_ok=True)
self.sessions_file = os.path.join(self.storage_dir, 'oauth_sessions.json')
self.tokens_file = os.path.join(self.storage_dir, 'oauth_tokens.json')
logger.info(f"Persistent OAuth storage initialized at: {self.storage_dir}")
def _load_json(self, filepath: str) -> Dict:
"""Load JSON data from file"""
try:
if os.path.exists(filepath):
with open(filepath, 'r', encoding='utf-8') as f:
return json.load(f)
except Exception as e:
logger.error(f"Error loading {filepath}: {e}")
return {}
def _save_json(self, filepath: str, data: Dict):
"""Save JSON data to file"""
try:
with open(filepath, 'w', encoding='utf-8') as f:
json.dump(data, f, indent=2, default=str)
except Exception as e:
logger.error(f"Error saving {filepath}: {e}")
def get_sessions(self) -> Dict[str, Dict[str, Any]]:
"""Get all OAuth sessions"""
data = self._load_json(self.sessions_file)
# Clean expired sessions
now = datetime.utcnow().timestamp()
valid_sessions = {k: v for k, v in data.items()
if v.get('expires_at', 0) > now}
if len(valid_sessions) != len(data):
self._save_json(self.sessions_file, valid_sessions)
return valid_sessions
def set_session(self, session_id: str, data: Dict[str, Any]):
"""Set OAuth session data"""
sessions = self.get_sessions()
sessions[session_id] = data
self._save_json(self.sessions_file, sessions)
def get_session(self, session_id: str) -> Optional[Dict[str, Any]]:
"""Get specific OAuth session data"""
sessions = self.get_sessions()
return sessions.get(session_id)
def delete_session(self, session_id: str):
"""Delete OAuth session"""
sessions = self.get_sessions()
if session_id in sessions:
del sessions[session_id]
self._save_json(self.sessions_file, sessions)
def get_tokens(self) -> Dict[str, Dict[str, Any]]:
"""Get all OAuth tokens"""
data = self._load_json(self.tokens_file)
# Clean expired tokens
now = datetime.utcnow().timestamp()
valid_tokens = {k: v for k, v in data.items()
if v.get('expires_at', 0) > now}
if len(valid_tokens) != len(data):
self._save_json(self.tokens_file, valid_tokens)
return valid_tokens
def set_token(self, token_id: str, token_data: Dict[str, Any]):
"""Set OAuth token data"""
tokens = self.get_tokens()
tokens[token_id] = token_data
self._save_json(self.tokens_file, tokens)
def get_token(self, token_id: str) -> Optional[Dict[str, Any]]:
"""Get specific OAuth token data"""
tokens = self.get_tokens()
return tokens.get(token_id)
def delete_token(self, token_id: str):
"""Delete OAuth token"""
tokens = self.get_tokens()
if token_id in tokens:
del tokens[token_id]
self._save_json(self.tokens_file, tokens)
def cleanup_expired_sessions(self):
"""Clean up expired sessions and tokens"""
# This is handled automatically in get_sessions() and get_tokens()
sessions = self.get_sessions()
tokens = self.get_tokens()
logger.debug(f"Cleanup: {len(sessions)} active sessions, {len(tokens)} active tokens")
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"""
Factory for creating FastMCP app with MCP Auth Toolkit integration
"""
import logging
import os
from typing import Optional
logger = logging.getLogger(__name__)
try:
from fastmcp import FastMCP
FASTMCP_AVAILABLE = True
except ImportError:
FASTMCP_AVAILABLE = False
FastMCP = None
from mcp_auth import (
OAuthProvider,
PolicyEngine,
FastMCPAuthWrapper,
create_default_policies
)
from mcp_auth.clerk_config import create_mcp_server_config
def create_auth_enabled_app(app_name: str = "Yargı MCP Server") -> FastMCP:
"""Create FastMCP app with authentication enabled"""
if not FASTMCP_AVAILABLE:
raise ImportError("FastMCP is required for authenticated MCP server")
logger.info("Creating FastMCP app with MCP Auth Toolkit integration")
# Create base FastMCP app
app = FastMCP(app_name)
# Check if authentication is enabled
auth_enabled = os.getenv("ENABLE_AUTH", "true").lower() == "true"
if not auth_enabled:
logger.info("Authentication disabled, returning basic FastMCP app")
return app
try:
# Get configuration
logger.info("Getting MCP server configuration...")
config = create_mcp_server_config()
logger.info("Configuration loaded successfully")
# Create OAuth provider with Clerk config
logger.info("Creating OAuth provider...")
oauth_provider = OAuthProvider(
config=config["oauth_config"],
jwt_secret=config["jwt_secret"]
)
logger.info("OAuth provider created successfully")
# Create policy engine for Turkish legal database
policy_engine = create_default_policies()
# Store auth components for later wrapping (after tools are defined)
app._oauth_provider = oauth_provider
app._policy_engine = policy_engine
app._auth_config = config
# Add OAuth endpoints immediately
@app.tool(
description="Initiate OAuth 2.1 authorization flow with PKCE",
annotations={"readOnlyHint": True, "idempotentHint": False}
)
async def oauth_authorize(redirect_uri: str, scopes: str = None):
"""OAuth authorization endpoint"""
scope_list = scopes.split(" ") if scopes else ["mcp:tools:read", "mcp:tools:write"]
auth_url, pkce = oauth_provider.generate_authorization_url(
redirect_uri=redirect_uri, scopes=scope_list
)
logger.info(f"Generated authorization URL for redirect_uri: {redirect_uri}")
return {
"authorization_url": auth_url,
"code_verifier": pkce.verifier,
"code_challenge": pkce.challenge,
"instructions": "Use the authorization_url to complete OAuth flow, then exchange the returned code using oauth_token tool"
}
@app.tool(
description="Exchange OAuth authorization code for access token",
annotations={"readOnlyHint": False, "idempotentHint": False}
)
async def oauth_token(code: str, state: str, redirect_uri: str):
"""OAuth token exchange endpoint"""
try:
result = await oauth_provider.exchange_code_for_token(
code=code, state=state, redirect_uri=redirect_uri
)
logger.info("Successfully exchanged authorization code for token")
return result
except Exception as e:
logger.error(f"Token exchange failed: {e}")
raise
@app.tool(
description="Validate and introspect OAuth access token",
annotations={"readOnlyHint": True, "idempotentHint": True}
)
async def oauth_introspect(token: str):
"""Token introspection endpoint"""
result = oauth_provider.introspect_token(token)
logger.debug(f"Token introspection: active={result.get('active', False)}")
return result
@app.tool(
description="Revoke OAuth access token",
annotations={"readOnlyHint": False, "idempotentHint": False}
)
async def oauth_revoke(token: str):
"""Token revocation endpoint"""
success = oauth_provider.revoke_token(token)
logger.info(f"Token revocation: success={success}")
return {"revoked": success}
logger.info("Successfully created authenticated FastMCP app")
except Exception as e:
logger.error(f"Failed to create authenticated app: {e}")
logger.info("Falling back to non-authenticated FastMCP app")
# Return basic app if auth setup fails
return app
return app
def create_app() -> FastMCP:
"""Create FastMCP app (backwards compatible with mcp_factory.py)"""
return create_auth_enabled_app()
def get_auth_wrapper(app: FastMCP) -> Optional[FastMCPAuthWrapper]:
"""Get auth wrapper from app if available"""
return getattr(app, '_auth_wrapper', None)
def get_oauth_provider(app: FastMCP) -> Optional[OAuthProvider]:
"""Get OAuth provider from app if available"""
return getattr(app, '_oauth_provider', None)
def get_policy_engine(app: FastMCP) -> Optional[PolicyEngine]:
"""Get policy engine from app if available"""
return getattr(app, '_policy_engine', None)
def is_auth_enabled(app: FastMCP) -> bool:
"""Check if authentication is enabled for the app"""
return hasattr(app, '_oauth_provider') or hasattr(app, '_auth_wrapper')
def enable_tool_authentication(app: FastMCP):
"""Enable authentication on all existing tools (call after tools are defined)"""
if not is_auth_enabled(app):
logger.debug("Authentication not enabled, skipping tool authentication")
return
oauth_provider = get_oauth_provider(app)
policy_engine = get_policy_engine(app)
if not oauth_provider or not policy_engine:
logger.warning("OAuth provider or policy engine not available")
return
try:
# Create auth wrapper and wrap tools
auth_wrapper = FastMCPAuthWrapper(
mcp_server=app,
oauth_provider=oauth_provider,
policy_engine=policy_engine
)
# Store wrapper for reference
app._auth_wrapper = auth_wrapper
logger.info("Tool authentication enabled successfully")
except Exception as e:
logger.error(f"Failed to enable tool authentication: {e}")
def cleanup_auth_sessions(app: FastMCP):
"""Clean up expired auth sessions and tokens"""
oauth_provider = get_oauth_provider(app)
if oauth_provider:
oauth_provider.cleanup_expired_sessions()
logger.debug("Cleaned up expired OAuth sessions")
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"""
HTTP adapter for MCP Auth Toolkit OAuth endpoints
Exposes MCP OAuth tools as HTTP endpoints for Claude.ai integration
"""
import os
import logging
import secrets
import time
from typing import Optional
from urllib.parse import urlencode, quote
from datetime import datetime, timedelta
from fastapi import APIRouter, Request, Query, HTTPException
from fastapi.responses import RedirectResponse, JSONResponse
# Try to import Clerk SDK
try:
from clerk_backend_api import Clerk
CLERK_AVAILABLE = True
except ImportError as e:
CLERK_AVAILABLE = False
Clerk = None
logger = logging.getLogger(__name__)
router = APIRouter()
# OAuth configuration
BASE_URL = os.getenv("BASE_URL", "https://yargimcp.com")
@router.get("/.well-known/oauth-authorization-server")
async def get_oauth_metadata():
"""OAuth 2.0 Authorization Server Metadata (RFC 8414)"""
return JSONResponse({
"issuer": BASE_URL,
"authorization_endpoint": f"{BASE_URL}/authorize",
"token_endpoint": f"{BASE_URL}/token",
"registration_endpoint": f"{BASE_URL}/register",
"response_types_supported": ["code"],
"grant_types_supported": ["authorization_code", "refresh_token"],
"code_challenge_methods_supported": ["S256"],
"token_endpoint_auth_methods_supported": ["none"],
"scopes_supported": ["mcp:tools:read", "mcp:tools:write", "openid", "profile", "email"],
"service_documentation": f"{BASE_URL}/mcp/"
})
@router.get("/.well-known/oauth-protected-resource")
async def get_protected_resource_metadata():
"""OAuth Protected Resource Metadata (RFC 9728)"""
return JSONResponse({
"resource": BASE_URL,
"authorization_servers": [BASE_URL],
"bearer_methods_supported": ["header"],
"scopes_supported": ["mcp:tools:read", "mcp:tools:write"],
"resource_documentation": f"{BASE_URL}/docs"
})
@router.get("/authorize")
async def authorize_endpoint(
response_type: str = Query(...),
client_id: str = Query(...),
redirect_uri: str = Query(...),
code_challenge: str = Query(...),
code_challenge_method: str = Query("S256"),
state: Optional[str] = Query(None),
scope: Optional[str] = Query(None)
):
"""OAuth 2.1 Authorization Endpoint - Uses Clerk SDK for custom domains"""
logger.info(f"OAuth authorize request - client_id: {client_id}, redirect_uri: {redirect_uri}")
if not CLERK_AVAILABLE:
logger.error("Clerk SDK not available")
raise HTTPException(status_code=500, detail="Clerk SDK not available")
# Store OAuth session for later validation
try:
from mcp_server_main import app as mcp_app
from mcp_auth_factory import get_oauth_provider
oauth_provider = get_oauth_provider(mcp_app)
if not oauth_provider:
raise HTTPException(status_code=500, detail="OAuth provider not configured")
# Generate session and store PKCE
session_id = secrets.token_urlsafe(32)
if state is None:
state = secrets.token_urlsafe(16)
# Create PKCE challenge
from mcp_auth.oauth import PKCEChallenge
pkce = PKCEChallenge()
# Store session data
session_data = {
"pkce_verifier": pkce.verifier,
"pkce_challenge": code_challenge, # Store the client's challenge
"state": state,
"redirect_uri": redirect_uri,
"client_id": client_id,
"scopes": scope.split(" ") if scope else ["mcp:tools:read", "mcp:tools:write"],
"created_at": time.time(),
"expires_at": (datetime.utcnow() + timedelta(minutes=10)).timestamp(),
}
oauth_provider.storage.set_session(session_id, session_data)
# For Clerk with custom domains, we need to use their hosted sign-in page
# We'll pass our callback URL and session info in the state
callback_url = f"{BASE_URL}/auth/callback"
# Encode session info in state for retrieval after Clerk auth
combined_state = f"{state}:{session_id}"
# Use Clerk's sign-in URL with proper parameters
clerk_domain = os.getenv("CLERK_DOMAIN", "accounts.yargimcp.com")
sign_in_params = {
"redirect_url": f"{callback_url}?state={quote(combined_state)}",
}
sign_in_url = f"https://{clerk_domain}/sign-in?{urlencode(sign_in_params)}"
logger.info(f"Redirecting to Clerk sign-in: {sign_in_url}")
return RedirectResponse(url=sign_in_url)
except Exception as e:
logger.exception(f"Authorization failed: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/auth/callback")
async def oauth_callback(
request: Request,
state: Optional[str] = Query(None),
clerk_token: Optional[str] = Query(None)
):
"""Handle OAuth callback from Clerk - supports both JWT token and cookie auth"""
logger.info(f"OAuth callback received - state: {state}")
logger.info(f"Query params: {dict(request.query_params)}")
logger.info(f"Cookies: {dict(request.cookies)}")
logger.info(f"Clerk JWT token provided: {bool(clerk_token)}")
# Support both JWT token (for cross-domain) and cookie auth (for subdomain)
try:
if not state:
logger.error("No state parameter provided")
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "Missing state parameter"}
)
# Parse state to get original state and session ID
try:
if ":" in state:
original_state, session_id = state.rsplit(":", 1)
else:
original_state = state
session_id = state # Fallback
except ValueError:
logger.error(f"Invalid state format: {state}")
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "Invalid state format"}
)
# Get OAuth provider
from mcp_server_main import app as mcp_app
from mcp_auth_factory import get_oauth_provider
oauth_provider = get_oauth_provider(mcp_app)
if not oauth_provider:
raise HTTPException(status_code=500, detail="OAuth provider not configured")
# Get stored session
oauth_session = oauth_provider.storage.get_session(session_id)
if not oauth_session:
logger.error(f"OAuth session not found for ID: {session_id}")
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "OAuth session expired or not found"}
)
# Check if we have a JWT token (for cross-domain auth)
user_authenticated = False
auth_method = "none"
if clerk_token:
logger.info("Attempting JWT token validation")
try:
# Validate JWT token with Clerk
from clerk_backend_api import Clerk
clerk = Clerk(bearer_auth=os.getenv("CLERK_SECRET_KEY"))
# Extract session_id from JWT token and verify with Clerk
import jwt
decoded_token = jwt.decode(clerk_token, options={"verify_signature": False})
session_id = decoded_token.get("sid") or decoded_token.get("session_id")
if session_id:
# Verify with Clerk using session_id
session = clerk.sessions.verify(session_id=session_id, token=clerk_token)
user_id = session.user_id if session else None
else:
user_id = None
if user_id:
logger.info(f"JWT token validation successful - user_id: {user_id}")
user_authenticated = True
auth_method = "jwt_token"
# Store user info in session for token exchange
oauth_session["user_id"] = user_id
oauth_session["auth_method"] = "jwt_token"
else:
logger.error("JWT token validation failed - no user_id in claims")
except Exception as e:
logger.error(f"JWT token validation failed: {str(e)}")
# Fall through to cookie validation
# If no JWT token or validation failed, check cookies
if not user_authenticated:
logger.info("Checking for Clerk session cookies")
# Check for Clerk session cookies (for subdomain auth)
clerk_session_cookie = request.cookies.get("__session")
if clerk_session_cookie:
logger.info("Found Clerk session cookie, assuming authenticated")
user_authenticated = True
auth_method = "cookie"
oauth_session["auth_method"] = "cookie"
else:
logger.info("No Clerk session cookie found")
# For custom domains, we'll also trust that Clerk redirected here
if not user_authenticated:
logger.info("Trusting Clerk redirect for custom domain flow")
user_authenticated = True
auth_method = "trusted_redirect"
oauth_session["auth_method"] = "trusted_redirect"
logger.info(f"User authenticated: {user_authenticated}, method: {auth_method}")
# Generate simple authorization code for custom domain flow
auth_code = f"clerk_custom_{session_id}_{int(time.time())}"
# Store the code mapping for token exchange
code_data = {
"session_id": session_id,
"clerk_authenticated": user_authenticated,
"auth_method": auth_method,
"custom_domain_flow": True,
"created_at": time.time(),
"expires_at": (datetime.utcnow() + timedelta(minutes=5)).timestamp(),
}
if "user_id" in oauth_session:
code_data["user_id"] = oauth_session["user_id"]
oauth_provider.storage.set_session(f"code_{auth_code}", code_data)
# Build redirect URL back to Claude
redirect_params = {
"code": auth_code,
"state": original_state
}
redirect_url = f"{oauth_session['redirect_uri']}?{urlencode(redirect_params)}"
logger.info(f"Redirecting back to Claude: {redirect_url}")
return RedirectResponse(url=redirect_url)
except Exception as e:
logger.exception(f"Callback processing failed: {e}")
return JSONResponse(
status_code=500,
content={"error": "server_error", "error_description": str(e)}
)
@router.post("/register")
async def register_client(request: Request):
"""Dynamic Client Registration (RFC 7591)"""
data = await request.json()
logger.info(f"Client registration request: {data}")
# Simple dynamic registration - accept any client
client_id = f"mcp-client-{os.urandom(8).hex()}"
return JSONResponse({
"client_id": client_id,
"client_secret": None, # Public client
"redirect_uris": data.get("redirect_uris", []),
"grant_types": ["authorization_code", "refresh_token"],
"response_types": ["code"],
"client_name": data.get("client_name", "MCP Client"),
"token_endpoint_auth_method": "none",
"client_id_issued_at": int(datetime.now().timestamp())
})
@router.post("/token")
async def token_endpoint(request: Request):
"""OAuth 2.1 Token Endpoint"""
# Parse form data
form_data = await request.form()
grant_type = form_data.get("grant_type")
code = form_data.get("code")
redirect_uri = form_data.get("redirect_uri")
client_id = form_data.get("client_id")
code_verifier = form_data.get("code_verifier")
logger.info(f"Token exchange - grant_type: {grant_type}, code: {code[:20] if code else 'None'}...")
if grant_type != "authorization_code":
return JSONResponse(
status_code=400,
content={"error": "unsupported_grant_type"}
)
try:
# OAuth token exchange - validate code and return Clerk JWT
# This supports proper OAuth flow while using Clerk JWT tokens
if not code or not redirect_uri:
logger.error("Missing required parameters: code or redirect_uri")
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "Missing code or redirect_uri"}
)
# Validate OAuth code with Clerk
if CLERK_AVAILABLE:
try:
clerk = Clerk(bearer_auth=os.getenv("CLERK_SECRET_KEY"))
# In a real implementation, you'd validate the code with Clerk
# For now, we'll assume the code is valid if it looks like a Clerk code
if len(code) > 10: # Basic validation
# Create a mock session with the code
# In practice, this would be validated with Clerk's OAuth flow
# Return Clerk JWT token format
# This should be the actual Clerk JWT token from the OAuth flow
return JSONResponse({
"access_token": f"mock_clerk_jwt_{code}",
"token_type": "Bearer",
"expires_in": 3600,
"scope": "yargi.read yargi.search"
})
else:
logger.error(f"Invalid code format: {code}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Invalid authorization code"}
)
except Exception as e:
logger.error(f"Clerk validation failed: {e}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Authorization code validation failed"}
)
else:
logger.warning("Clerk SDK not available, using mock response")
return JSONResponse({
"access_token": "mock_jwt_token_for_development",
"token_type": "Bearer",
"expires_in": 3600,
"scope": "yargi.read yargi.search"
})
except Exception as e:
logger.exception(f"Token exchange failed: {e}")
return JSONResponse(
status_code=500,
content={"error": "server_error", "error_description": str(e)}
)
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@@ -1,522 +0,0 @@
"""
Simplified MCP OAuth HTTP adapter - only Clerk JWT based authentication
Uses Redis for authorization code storage to support multi-machine deployment
"""
import os
import logging
from typing import Optional
from urllib.parse import urlencode, quote
from fastapi import APIRouter, Request, Query, HTTPException
from fastapi.responses import RedirectResponse, JSONResponse
# Import Redis session store
from redis_session_store import get_redis_store
# Try to import Clerk SDK
try:
from clerk_backend_api import Clerk
CLERK_AVAILABLE = True
except ImportError:
CLERK_AVAILABLE = False
Clerk = None
logger = logging.getLogger(__name__)
router = APIRouter()
# OAuth configuration
BASE_URL = os.getenv("BASE_URL", "https://api.yargimcp.com")
CLERK_DOMAIN = os.getenv("CLERK_DOMAIN", "accounts.yargimcp.com")
# Initialize Redis store
redis_store = None
def get_redis_session_store():
"""Get Redis store instance with lazy initialization."""
global redis_store
if redis_store is None:
try:
import concurrent.futures
import functools
# Use thread pool with timeout to prevent hanging
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
future = executor.submit(get_redis_store)
try:
# 5 second timeout for Redis initialization
redis_store = future.result(timeout=5.0)
if redis_store:
logger.info("Redis session store initialized for OAuth handler")
else:
logger.warning("Redis store initialization returned None")
except concurrent.futures.TimeoutError:
logger.error("Redis initialization timed out after 5 seconds")
redis_store = None
future.cancel() # Try to cancel the hanging operation
except Exception as e:
logger.error(f"Failed to initialize Redis store: {e}")
redis_store = None
if redis_store is None:
# Fall back to in-memory storage with warning
logger.warning("Falling back to in-memory storage - multi-machine deployment will not work")
return redis_store
@router.get("/.well-known/oauth-authorization-server")
async def get_oauth_metadata():
"""OAuth 2.0 Authorization Server Metadata (RFC 8414)"""
return JSONResponse({
"issuer": BASE_URL,
"authorization_endpoint": "https://yargimcp.com/mcp-callback",
"token_endpoint": f"{BASE_URL}/token",
"registration_endpoint": f"{BASE_URL}/register",
"response_types_supported": ["code"],
"grant_types_supported": ["authorization_code"],
"code_challenge_methods_supported": ["S256"],
"token_endpoint_auth_methods_supported": ["none"],
"scopes_supported": ["read", "search", "openid", "profile", "email"],
"service_documentation": f"{BASE_URL}/mcp/"
})
@router.get("/auth/login")
async def oauth_authorize(
request: Request,
client_id: str = Query(...),
redirect_uri: str = Query(...),
response_type: str = Query("code"),
scope: Optional[str] = Query("read search"),
state: Optional[str] = Query(None),
code_challenge: Optional[str] = Query(None),
code_challenge_method: Optional[str] = Query(None)
):
"""OAuth 2.1 Authorization Endpoint - redirects to Clerk"""
logger.info(f"OAuth authorize request - client_id: {client_id}")
logger.info(f"Redirect URI: {redirect_uri}")
logger.info(f"State: {state}")
logger.info(f"PKCE Challenge: {bool(code_challenge)}")
try:
# Build callback URL with all necessary parameters
callback_url = f"{BASE_URL}/auth/callback"
callback_params = {
"client_id": client_id,
"redirect_uri": redirect_uri,
"state": state or "",
"scope": scope or "read search"
}
# Add PKCE parameters if present
if code_challenge:
callback_params["code_challenge"] = code_challenge
callback_params["code_challenge_method"] = code_challenge_method or "S256"
# Encode callback URL as redirect_url for Clerk
callback_with_params = f"{callback_url}?{urlencode(callback_params)}"
# Build Clerk sign-in URL - use yargimcp.com frontend for JWT token generation
clerk_params = {
"redirect_url": callback_with_params
}
# Use frontend sign-in page that handles JWT token generation
clerk_signin_url = f"https://yargimcp.com/sign-in?{urlencode(clerk_params)}"
logger.info(f"Redirecting to Clerk: {clerk_signin_url}")
return RedirectResponse(url=clerk_signin_url)
except Exception as e:
logger.exception(f"Authorization failed: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/auth/callback")
async def oauth_callback(
request: Request,
client_id: str = Query(...),
redirect_uri: str = Query(...),
state: Optional[str] = Query(None),
scope: Optional[str] = Query("read search"),
code_challenge: Optional[str] = Query(None),
code_challenge_method: Optional[str] = Query(None),
clerk_token: Optional[str] = Query(None)
):
"""OAuth callback from Clerk - generates authorization code"""
logger.info(f"OAuth callback - client_id: {client_id}")
logger.info(f"Clerk token provided: {bool(clerk_token)}")
try:
# Validate user with Clerk and generate real JWT token
user_authenticated = False
user_id = None
session_id = None
real_jwt_token = None
if clerk_token and CLERK_AVAILABLE:
try:
# Extract user info from JWT token (no Clerk session verification needed)
import jwt
decoded_token = jwt.decode(clerk_token, options={"verify_signature": False})
user_id = decoded_token.get("user_id") or decoded_token.get("sub")
user_email = decoded_token.get("email")
token_scopes = decoded_token.get("scopes", ["read", "search"])
logger.info(f"JWT token claims - user_id: {user_id}, email: {user_email}, scopes: {token_scopes}")
if user_id and user_email:
# JWT token is already signed by Clerk and contains valid user info
user_authenticated = True
logger.info(f"User authenticated via JWT token - user_id: {user_id}")
# Use the JWT token directly as the real token (it's already from Clerk template)
real_jwt_token = clerk_token
logger.info("Using Clerk JWT token directly (already real token)")
else:
logger.error(f"Missing required fields in JWT token - user_id: {bool(user_id)}, email: {bool(user_email)}")
except Exception as e:
logger.error(f"JWT validation failed: {e}")
# Fallback to cookie validation
if not user_authenticated:
clerk_session = request.cookies.get("__session")
if clerk_session:
user_authenticated = True
logger.info("User authenticated via cookie")
# Try to get session from cookie and generate JWT
if CLERK_AVAILABLE:
try:
clerk = Clerk(bearer_auth=os.getenv("CLERK_SECRET_KEY"))
# Note: sessions.verify_session is deprecated, but we'll try
# In practice, you'd need to extract session_id from cookie
logger.info("Cookie authentication - JWT generation not implemented yet")
except Exception as e:
logger.warning(f"Failed to generate JWT from cookie: {e}")
# Only generate authorization code if we have a real JWT token
if user_authenticated and real_jwt_token:
# Generate authorization code
auth_code = f"clerk_auth_{os.urandom(16).hex()}"
# Prepare code data
import time
code_data = {
"user_id": user_id,
"session_id": session_id,
"real_jwt_token": real_jwt_token,
"user_authenticated": user_authenticated,
"client_id": client_id,
"redirect_uri": redirect_uri,
"scope": scope or "read search"
}
# Try to store in Redis, fall back to in-memory if Redis unavailable
store = get_redis_session_store()
if store:
# Store in Redis with automatic expiration
success = store.set_oauth_code(auth_code, code_data)
if success:
logger.info(f"Stored authorization code {auth_code[:10]}... in Redis with real JWT token")
else:
logger.error(f"Failed to store authorization code in Redis, falling back to in-memory")
# Fall back to in-memory storage
if not hasattr(oauth_callback, '_code_storage'):
oauth_callback._code_storage = {}
oauth_callback._code_storage[auth_code] = code_data
else:
# Fall back to in-memory storage
logger.warning("Redis not available, using in-memory storage")
if not hasattr(oauth_callback, '_code_storage'):
oauth_callback._code_storage = {}
oauth_callback._code_storage[auth_code] = code_data
logger.info(f"Stored authorization code in memory (fallback)")
# Redirect back to client with authorization code
redirect_params = {
"code": auth_code,
"state": state or ""
}
final_redirect_url = f"{redirect_uri}?{urlencode(redirect_params)}"
logger.info(f"Redirecting back to client: {final_redirect_url}")
return RedirectResponse(url=final_redirect_url)
else:
# No JWT token yet - redirect back to sign-in page to wait for authentication
logger.info("No JWT token provided - redirecting back to sign-in to complete authentication")
# Keep the same redirect URL so the flow continues
sign_in_params = {
"redirect_url": f"{request.url._url}" # Current callback URL with all params
}
sign_in_url = f"https://yargimcp.com/sign-in?{urlencode(sign_in_params)}"
logger.info(f"Redirecting back to sign-in: {sign_in_url}")
return RedirectResponse(url=sign_in_url)
except Exception as e:
logger.exception(f"Callback processing failed: {e}")
return JSONResponse(
status_code=500,
content={"error": "server_error", "error_description": str(e)}
)
@router.post("/auth/register")
async def register_client(request: Request):
"""Dynamic Client Registration (RFC 7591)"""
data = await request.json()
logger.info(f"Client registration request: {data}")
# Simple dynamic registration - accept any client
client_id = f"mcp-client-{os.urandom(8).hex()}"
return JSONResponse({
"client_id": client_id,
"client_secret": None, # Public client
"redirect_uris": data.get("redirect_uris", []),
"grant_types": ["authorization_code"],
"response_types": ["code"],
"client_name": data.get("client_name", "MCP Client"),
"token_endpoint_auth_method": "none"
})
@router.post("/auth/callback")
async def oauth_callback_post(request: Request):
"""OAuth callback POST endpoint for token exchange"""
# Parse form data (standard OAuth token exchange format)
form_data = await request.form()
grant_type = form_data.get("grant_type")
code = form_data.get("code")
redirect_uri = form_data.get("redirect_uri")
client_id = form_data.get("client_id")
code_verifier = form_data.get("code_verifier")
logger.info(f"OAuth callback POST - grant_type: {grant_type}")
logger.info(f"Code: {code[:20] if code else 'None'}...")
logger.info(f"Client ID: {client_id}")
logger.info(f"PKCE verifier: {bool(code_verifier)}")
if grant_type != "authorization_code":
return JSONResponse(
status_code=400,
content={"error": "unsupported_grant_type"}
)
if not code or not redirect_uri:
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "Missing code or redirect_uri"}
)
try:
# Validate authorization code
if not code.startswith("clerk_auth_"):
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Invalid authorization code"}
)
# Retrieve stored JWT token using authorization code from Redis or in-memory fallback
stored_code_data = None
# Try to get from Redis first, then fall back to in-memory
store = get_redis_session_store()
if store:
stored_code_data = store.get_oauth_code(code, delete_after_use=True)
if stored_code_data:
logger.info(f"Retrieved authorization code {code[:10]}... from Redis")
else:
logger.warning(f"Authorization code {code[:10]}... not found in Redis")
# Fall back to in-memory storage if Redis unavailable or code not found
if not stored_code_data and hasattr(oauth_callback, '_code_storage'):
stored_code_data = oauth_callback._code_storage.get(code)
if stored_code_data:
# Clean up in-memory storage
oauth_callback._code_storage.pop(code, None)
logger.info(f"Retrieved authorization code {code[:10]}... from in-memory storage")
if not stored_code_data:
logger.error(f"No stored data found for authorization code: {code}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Authorization code not found or expired"}
)
# Note: Redis TTL handles expiration automatically, but check for manual expiration for in-memory fallback
import time
expires_at = stored_code_data.get("expires_at", 0)
if expires_at and time.time() > expires_at:
logger.error(f"Authorization code expired: {code}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Authorization code expired"}
)
# Get the real JWT token
real_jwt_token = stored_code_data.get("real_jwt_token")
if real_jwt_token:
logger.info("Returning real Clerk JWT token")
# Note: Code already deleted from Redis, clean up in-memory fallback if used
if hasattr(oauth_callback, '_code_storage'):
oauth_callback._code_storage.pop(code, None)
return JSONResponse({
"access_token": real_jwt_token,
"token_type": "Bearer",
"expires_in": 3600,
"scope": "read search"
})
else:
logger.warning("No real JWT token found, generating mock token")
# Fallback to mock token for testing
mock_token = f"mock_clerk_jwt_{code}"
return JSONResponse({
"access_token": mock_token,
"token_type": "Bearer",
"expires_in": 3600,
"scope": "read search"
})
except Exception as e:
logger.exception(f"OAuth callback POST failed: {e}")
return JSONResponse(
status_code=500,
content={"error": "server_error", "error_description": str(e)}
)
@router.post("/register")
async def register_client(request: Request):
"""Dynamic Client Registration (RFC 7591)"""
data = await request.json()
logger.info(f"Client registration request: {data}")
# Simple dynamic registration - accept any client
client_id = f"mcp-client-{os.urandom(8).hex()}"
return JSONResponse({
"client_id": client_id,
"client_secret": None, # Public client
"redirect_uris": data.get("redirect_uris", []),
"grant_types": ["authorization_code"],
"response_types": ["code"],
"client_name": data.get("client_name", "MCP Client"),
"token_endpoint_auth_method": "none"
})
@router.post("/token")
async def token_endpoint(request: Request):
"""OAuth 2.1 Token Endpoint - exchanges code for Clerk JWT"""
# Parse form data
form_data = await request.form()
grant_type = form_data.get("grant_type")
code = form_data.get("code")
redirect_uri = form_data.get("redirect_uri")
client_id = form_data.get("client_id")
code_verifier = form_data.get("code_verifier")
logger.info(f"Token exchange - grant_type: {grant_type}")
logger.info(f"Code: {code[:20] if code else 'None'}...")
if grant_type != "authorization_code":
return JSONResponse(
status_code=400,
content={"error": "unsupported_grant_type"}
)
if not code or not redirect_uri:
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "Missing code or redirect_uri"}
)
try:
# Validate authorization code
if not code.startswith("clerk_auth_"):
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Invalid authorization code"}
)
# Retrieve stored JWT token using authorization code from Redis or in-memory fallback
stored_code_data = None
# Try to get from Redis first, then fall back to in-memory
store = get_redis_session_store()
if store:
stored_code_data = store.get_oauth_code(code, delete_after_use=True)
if stored_code_data:
logger.info(f"Retrieved authorization code {code[:10]}... from Redis (/token endpoint)")
else:
logger.warning(f"Authorization code {code[:10]}... not found in Redis (/token endpoint)")
# Fall back to in-memory storage if Redis unavailable or code not found
if not stored_code_data and hasattr(oauth_callback, '_code_storage'):
stored_code_data = oauth_callback._code_storage.get(code)
if stored_code_data:
# Clean up in-memory storage
oauth_callback._code_storage.pop(code, None)
logger.info(f"Retrieved authorization code {code[:10]}... from in-memory storage (/token endpoint)")
if not stored_code_data:
logger.error(f"No stored data found for authorization code: {code}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Authorization code not found or expired"}
)
# Note: Redis TTL handles expiration automatically, but check for manual expiration for in-memory fallback
import time
expires_at = stored_code_data.get("expires_at", 0)
if expires_at and time.time() > expires_at:
logger.error(f"Authorization code expired: {code}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Authorization code expired"}
)
# Get the real JWT token
real_jwt_token = stored_code_data.get("real_jwt_token")
if real_jwt_token:
logger.info("Returning real Clerk JWT token from /token endpoint")
# Note: Code already deleted from Redis, clean up in-memory fallback if used
if hasattr(oauth_callback, '_code_storage'):
oauth_callback._code_storage.pop(code, None)
return JSONResponse({
"access_token": real_jwt_token,
"token_type": "Bearer",
"expires_in": 3600,
"scope": "read search"
})
else:
logger.warning("No real JWT token found in /token endpoint, generating mock token")
# Fallback to mock token for testing
mock_token = f"mock_clerk_jwt_{code}"
return JSONResponse({
"access_token": mock_token,
"token_type": "Bearer",
"expires_in": 3600,
"scope": "read search"
})
except Exception as e:
logger.exception(f"Token exchange failed: {e}")
return JSONResponse(
status_code=500,
content={"error": "server_error", "error_description": str(e)}
)
+875 -359
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+57
View File
@@ -0,0 +1,57 @@
"""
Migration stub for the deprecated Yargı MCP endpoint.
Exposes a single tool that informs the MCP client the server has moved
and the user must update their configuration.
Entrypoint variable `app` is a FastMCP instance so it works with
Dokploy's FastMCP build pipeline (`fastmcp inspect`, `fastmcp run`).
Run with:
fastmcp run migration_app.py:app --transport http --port 8000
"""
from starlette.responses import JSONResponse
from fastmcp import FastMCP
NEW_URL = "https://yargimcp.surucu.dev/mcp"
app = FastMCP(
name="Yargı MCP (taşındı / moved)",
instructions=(
f"Bu Yargı MCP endpoint'i kullanımdan kaldırıldı. "
f"Sunucu yeni adrese taşındı: {NEW_URL}. "
f"Kullanıcıya MCP istemci ayarlarındaki sunucu URL'sini güncellemesini söyle."
),
)
@app.tool(
description=(
"DEPRECATED ENDPOINT — Yargı MCP sunucusu yeni adrese taşındı. "
"Bu endpoint'teki eski araçlar (Yargıtay, Danıştay, Anayasa Mahkemesi, "
"KVKK, BDDK, Rekabet Kurumu, Sayıştay, KİK, Emsal, Uyuşmazlık, GİB, "
"Sigorta Tahkim, Bedesten vb.) artık burada çalışmıyor. "
"Bu aracı çağırarak yeni sunucu adresini ve migrasyon talimatını al, "
"ardından kullanıcıya MCP istemci (Claude Desktop, 5ire, ChatGPT vb.) "
"ayarlarındaki sunucu URL'sini güncellemesi gerektiğini açıkça söyle."
)
)
def migration_notice() -> dict:
"""Yargı MCP sunucusunun yeni adresini ve migrasyon talimatını döner."""
return {
"status": "moved",
"new_url": NEW_URL,
"message": (
f"Yargı MCP sunucusu yeni adrese taşındı: {NEW_URL}\n\n"
f"Lütfen MCP istemcinin (Claude Desktop, 5ire, ChatGPT vb.) "
f"ayarlarındaki sunucu URL'sini yukarıdaki yeni adresle güncelleyin. "
f"Mevcut endpoint artık kullanım dışıdır ve sadece bu uyarıyı döner."
),
}
@app.custom_route("/health", methods=["GET"])
async def health(request):
"""Health check endpoint for monitoring services."""
return JSONResponse({"status": "deprecated", "new_url": NEW_URL})
-94
View File
@@ -1,94 +0,0 @@
events {
worker_connections 1024;
}
http {
upstream yargi_mcp {
server yargi-mcp:8000;
}
# Rate limiting
limit_req_zone $binary_remote_addr zone=api_limit:10m rate=10r/s;
limit_req_zone $binary_remote_addr zone=mcp_limit:10m rate=100r/s;
server {
listen 80;
server_name localhost;
# Redirect HTTP to HTTPS in production
# return 301 https://$server_name$request_uri;
# Security headers
add_header X-Content-Type-Options nosniff;
add_header X-Frame-Options DENY;
add_header X-XSS-Protection "1; mode=block";
add_header Referrer-Policy "strict-origin-when-cross-origin";
# API endpoints
location /api/ {
limit_req zone=api_limit burst=20 nodelay;
proxy_pass http://yargi_mcp;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
# Timeouts
proxy_connect_timeout 60s;
proxy_send_timeout 60s;
proxy_read_timeout 60s;
}
# MCP endpoint (higher rate limit)
location /mcp-server/mcp/ {
limit_req zone=mcp_limit burst=50 nodelay;
proxy_pass http://yargi_mcp;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
# WebSocket support
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
# Longer timeouts for MCP operations
proxy_connect_timeout 300s;
proxy_send_timeout 300s;
proxy_read_timeout 300s;
}
# Health check (no rate limit)
location /health {
proxy_pass http://yargi_mcp;
proxy_set_header Host $host;
}
# Root and other paths
location / {
limit_req zone=api_limit burst=10 nodelay;
proxy_pass http://yargi_mcp;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
}
# SSL configuration (uncomment for production)
# server {
# listen 443 ssl http2;
# server_name your-domain.com;
#
# ssl_certificate /etc/nginx/ssl/cert.pem;
# ssl_certificate_key /etc/nginx/ssl/key.pem;
# ssl_protocols TLSv1.2 TLSv1.3;
# ssl_ciphers HIGH:!aNULL:!MD5;
#
# # Include all location blocks from above
# }
}
+7 -12
View File
@@ -1,12 +1,12 @@
[project]
name = "yargi-mcp"
version = "0.1.9"
version = "0.2.2"
description = "MCP Server For Turkish Legal Databases"
readme = "README.md"
requires-python = ">=3.11"
license = {text = "MIT"}
authors = [{name = "Said Surucu", email = "saidsrc@gmail.com"}]
keywords = ["mcp", "turkish-law", "legal", "yargitay", "danistay", "bddk", "kvkk", "turkish", "law", "court", "decisions"]
keywords = ["mcp", "turkish-law", "legal", "yargitay", "danistay", "bddk", "btk", "kvkk", "turkish", "law", "court", "decisions"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Legal Industry",
@@ -25,10 +25,12 @@ dependencies = [
"markitdown[pdf]>=0.1.1",
"pydantic>=2.11.4",
"aiohttp>=3.11.18",
"playwright>=1.52.0",
"fastmcp>=2.10.5",
"pypdf>=5.5.0",
"fastapi>=0.115.14",
"cryptography>=44.0.0",
"openai>=1.0.0",
"numpy>=1.24.0",
]
[project.optional-dependencies]
@@ -44,22 +46,15 @@ production = [
"gunicorn>=22.0.0",
"uvicorn[standard]>=0.30.0",
]
saas = [
"clerk-backend-api>=3.0.0",
"stripe>=9.1.0",
"upstash-redis>=1.1.0",
"tiktoken>=0.5.0",
"PyJWT>=2.8.0",
]
[project.scripts]
yargi-mcp = "mcp_server_main:main"
[tool.setuptools]
py-modules = ["mcp_server_main", "mcp_auth_factory", "mcp_auth_http_adapter", "asgi_app", "fastapi_app", "starlette_app", "run_asgi", "stripe_webhook"]
py-modules = ["mcp_server_main", "asgi_app"]
[tool.setuptools.packages.find]
include = ["*_mcp_module", "mcp_auth"]
include = ["*_mcp_module", "semantic_search"]
[build-system]
requires = ["setuptools>=65.0", "wheel"]
+13 -16
View File
@@ -1,5 +1,6 @@
# rekabet_mcp_module/client.py
import asyncio
import httpx
from bs4 import BeautifulSoup
from typing import List, Optional, Tuple, Dict, Any
@@ -141,12 +142,12 @@ class RekabetKurumuApiClient:
# Row 1: Publication Date, Decision Number, Related Cases Link
td_elements_r1 = rows[0].find_all("td")
pub_date = td_elements_r1[0].get_text(strip=True) if len(td_elements_r1) > 0 else None
dec_num = td_elements_r1[1].get_text(strip=True) if len(td_elements_r1) > 1 else None
pub_date = td_elements_r1[0].get_text(strip=True) if len(td_elements_r1) > 0 else ""
dec_num = td_elements_r1[1].get_text(strip=True) if len(td_elements_r1) > 1 else ""
related_cases_link_tag = td_elements_r1[2].find("a", href=True) if len(td_elements_r1) > 2 else None
related_cases_url_str: Optional[str] = None
karar_id_from_related: Optional[str] = None
related_cases_url_str: str = ""
karar_id_from_related: str = ""
if related_cases_link_tag and related_cases_link_tag.has_attr('href'):
related_cases_url_str = urljoin(self.BASE_URL, related_cases_link_tag['href'])
qs_related = parse_qs(urlparse(related_cases_link_tag['href']).query)
@@ -155,16 +156,16 @@ class RekabetKurumuApiClient:
# Row 2: Decision Date, Decision Type
td_elements_r2 = rows[1].find_all("td")
dec_date = td_elements_r2[0].get_text(strip=True) if len(td_elements_r2) > 0 else None
dec_type_text = td_elements_r2[1].get_text(strip=True) if len(td_elements_r2) > 1 else None
dec_date = td_elements_r2[0].get_text(strip=True) if len(td_elements_r2) > 0 else ""
dec_type_text = td_elements_r2[1].get_text(strip=True) if len(td_elements_r2) > 1 else ""
# Row 3: Title and Main Decision Link
title_cell = rows[2].find("td", colspan="5")
decision_link_tag = title_cell.find("a", href=True) if title_cell else None
title_text: Optional[str] = None
decision_landing_url_str: Optional[str] = None
karar_id_from_main_link: Optional[str] = None
title_text: str = ""
decision_landing_url_str: str = ""
karar_id_from_main_link: str = ""
if decision_link_tag and decision_link_tag.has_attr('href'):
title_text = decision_link_tag.get_text(strip=True)
@@ -185,16 +186,12 @@ class RekabetKurumuApiClient:
logger.warning(f"Table {idx+1} Karar ID not found. Skipping. Title (if any): {title_text}")
continue
# Convert string URLs to HttpUrl for the model
final_decision_url = HttpUrl(decision_landing_url_str) if decision_landing_url_str else None
final_related_cases_url = HttpUrl(related_cases_url_str) if related_cases_url_str else None
processed_decisions.append(RekabetDecisionSummary(
publication_date=pub_date, decision_number=dec_num, decision_date=dec_date,
decision_type_text=dec_type_text, title=title_text,
decision_url=final_decision_url,
decision_url=decision_landing_url_str,
karar_id=current_karar_id,
related_cases_url=final_related_cases_url
related_cases_url=related_cases_url_str
))
logger.debug(f"Table {idx+1} parsed successfully: Karar ID '{current_karar_id}', Title '{title_text[:50] if title_text else 'N/A'}...'")
@@ -357,7 +354,7 @@ class RekabetKurumuApiClient:
total_pdf_pages = total_pdf_pages_from_extraction
if single_page_pdf_bytes:
markdown_for_requested_page = self._convert_pdf_bytes_to_markdown(single_page_pdf_bytes, str(pdf_url_to_report or full_landing_page_url))
markdown_for_requested_page = await asyncio.to_thread(self._convert_pdf_bytes_to_markdown, single_page_pdf_bytes, str(pdf_url_to_report or full_landing_page_url))
if not markdown_for_requested_page:
error_message = (error_message or "") + f"; Could not convert page {page_number} of PDF to Markdown."
elif total_pdf_pages > 0 :
-11
View File
@@ -1,11 +0,0 @@
fastmcp
httpx
beautifulsoup4
markitdown[pdf]
pydantic
aiohttp
playwright
pypdf
fastapi>=0.115.14
uvicorn[standard]>=0.30.0
starlette>=0.37.0
-119
View File
@@ -1,119 +0,0 @@
#!/usr/bin/env python3
"""
Standalone ASGI server runner for Yargı MCP
This script provides a simple way to run the Yargı MCP server
as a web service using uvicorn.
Usage:
python run_asgi.py
python run_asgi.py --host 0.0.0.0 --port 8080
python run_asgi.py --reload # For development
"""
import os
import sys
import argparse
import logging
from pathlib import Path
# Add project root to Python path
sys.path.insert(0, str(Path(__file__).parent))
try:
import uvicorn
except ImportError:
print("Error: uvicorn is not installed.")
print("Please install it with: pip install uvicorn")
sys.exit(1)
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
def main():
parser = argparse.ArgumentParser(
description="Run Yargı MCP server as an ASGI web service"
)
parser.add_argument(
"--host",
type=str,
default=os.getenv("HOST", "127.0.0.1"),
help="Host to bind to (default: 127.0.0.1)"
)
parser.add_argument(
"--port",
type=int,
default=int(os.getenv("PORT", "8000")),
help="Port to bind to (default: 8000)"
)
parser.add_argument(
"--reload",
action="store_true",
help="Enable auto-reload for development"
)
parser.add_argument(
"--transport",
choices=["http", "sse"],
default="http",
help="Transport type (default: http)"
)
parser.add_argument(
"--log-level",
choices=["debug", "info", "warning", "error"],
default=os.getenv("LOG_LEVEL", "info").lower(),
help="Log level (default: info)"
)
parser.add_argument(
"--workers",
type=int,
default=1,
help="Number of worker processes (default: 1)"
)
args = parser.parse_args()
# Select app based on transport
app_name = "asgi_app:app" if args.transport == "http" else "asgi_app:sse_app"
# Configure uvicorn
config = {
"app": app_name,
"host": args.host,
"port": args.port,
"log_level": args.log_level,
"reload": args.reload,
"access_log": True,
}
# Add workers only if not in reload mode
if not args.reload and args.workers > 1:
config["workers"] = args.workers
# Print startup information
print(f"Starting Yargı MCP server...")
print(f"Host: {args.host}")
print(f"Port: {args.port}")
print(f"Transport: {args.transport}")
print(f"Log level: {args.log_level}")
if args.reload:
print("Auto-reload: enabled")
else:
print(f"Workers: {args.workers}")
print(f"\nServer will be available at: http://{args.host}:{args.port}")
print(f"MCP endpoint: http://{args.host}:{args.port}/mcp/")
print(f"Health check: http://{args.host}:{args.port}/health")
print(f"API status: http://{args.host}:{args.port}/status")
print("\nPress CTRL+C to stop the server\n")
# Run uvicorn
try:
uvicorn.run(**config)
except KeyboardInterrupt:
print("\nShutting down server...")
sys.exit(0)
if __name__ == "__main__":
main()
-186
View File
@@ -1,186 +0,0 @@
# flyctl launch added from .gitignore
# Byte-compiled / optimized / DLL files
**/__pycache__
**/*.py[cod]
**/*$py.class
# C extensions
**/*.so
# Distribution / packaging
**/.Python
**/build
**/develop-eggs
**/dist
**/downloads
**/eggs
**/.eggs
**/lib
**/lib64
**/parts
**/sdist
**/var
**/wheels
**/share/python-wheels
**/*.egg-info
**/.installed.cfg
**/*.egg
**/MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
**/*.manifest
**/*.spec
# Installer logs
**/pip-log.txt
**/pip-delete-this-directory.txt
# Unit test / coverage reports
**/htmlcov
**/.tox
**/.nox
**/.coverage
**/.coverage.*
**/.cache
**/nosetests.xml
**/coverage.xml
**/*.cover
**/*.py,cover
**/.hypothesis
**/.pytest_cache
**/cover
# Translations
**/*.mo
**/*.pot
# Django stuff:
**/*.log
**/local_settings.py
**/db.sqlite3
**/db.sqlite3-journal
# Flask stuff:
**/instance
**/.webassets-cache
# Scrapy stuff:
**/.scrapy
# Sphinx documentation
**/docs/_build
# PyBuilder
**/.pybuilder
**/target
# Jupyter Notebook
**/.ipynb_checkpoints
# IPython
**/profile_default
**/ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
**/.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
**/__pypackages__
# Celery stuff
**/celerybeat-schedule
**/celerybeat.pid
# SageMath parsed files
**/*.sage.py
# Environments
**/.env
**/.venv
**/env
**/venv
**/ENV
**/env.bak
**/venv.bak
# Spyder project settings
**/.spyderproject
**/.spyproject
# Rope project settings
**/.ropeproject
# mkdocs documentation
site
# mypy
**/.mypy_cache
**/.dmypy.json
**/dmypy.json
# Pyre type checker
**/.pyre
# pytype static type analyzer
**/.pytype
# Cython debug symbols
**/cython_debug
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
**/.DS_Store
**/hello.py
**/*.html
**/fast-mcp-docs.md
# Debug and test files
**/debug_*
**/test_*
**/CLAUDE.md
# ASGI/Deployment files
**/ssl
**/*.pem
**/*.key
**/*.crt
# Docker volumes
**/redis-data
# Production logs
**/logs/*.log.*
**/Dockerfile
**/Dockerfile
fly.toml
-103
View File
@@ -1,103 +0,0 @@
# OAuth Configuration for Clerk + Google
# Copy this file to .env and fill in your actual values
# =============================================================================
# AUTHENTICATION SETTINGS
# =============================================================================
# Enable/disable authentication (set to "true" to enable OAuth)
ENABLE_AUTH=false
# =============================================================================
# CLERK CONFIGURATION
# =============================================================================
# Clerk API keys (get from https://dashboard.clerk.com/)
CLERK_SECRET_KEY=sk_test_your_secret_key_here
CLERK_PUBLISHABLE_KEY=pk_test_your_publishable_key_here
# OAuth Redirect URLs
CLERK_OAUTH_REDIRECT_URL=http://localhost:8000/auth/callback
CLERK_FRONTEND_URL=http://localhost:3000
# Clerk domain issuer (usually auto-configured)
CLERK_ISSUER=https://your-clerk-domain.clerk.accounts.dev
CLERK_DOMAIN=your-clerk-domain
# =============================================================================
# GOOGLE OAUTH SETTINGS
# =============================================================================
# Note: Google OAuth is configured through Clerk dashboard
# You need to:
# 1. Go to Clerk Dashboard > Social Connections
# 2. Enable Google provider
# 3. Add your Google OAuth client ID and secret
# 4. Configure redirect URIs in Google Console
# =============================================================================
# STRIPE CONFIGURATION (for payments/subscriptions)
# =============================================================================
STRIPE_SECRET=sk_test_your_stripe_secret_key_here
STRIPE_WEBHOOK_SECRET=whsec_your_webhook_secret_here
# =============================================================================
# SERVER CONFIGURATION
# =============================================================================
# CORS origins (comma-separated list)
ALLOWED_ORIGINS=http://localhost:3000,http://localhost:8000,https://yourdomain.com
# Server settings
HOST=0.0.0.0
PORT=8000
LOG_LEVEL=info
# Base URL for the application (used for OAuth callbacks and API URLs)
BASE_URL=http://localhost:8000
# JWT Secret for MCP token generation
JWT_SECRET_KEY=your_jwt_secret_key_here
# =============================================================================
# MCP SERVER SETTINGS
# =============================================================================
# Additional MCP server configuration can go here
# For example, rate limiting, feature flags, etc.
# Example: Rate limiting
# MAX_REQUESTS_PER_MINUTE=60
# BURST_CAPACITY=20
# =============================================================================
# USAGE INSTRUCTIONS
# =============================================================================
# 1. Copy this file to .env:
# cp .env.example .env
# 2. Get Clerk credentials:
# - Sign up at https://clerk.com/
# - Create a new application
# - Go to API Keys tab
# - Copy Secret Key and Publishable Key
# 3. Configure Google OAuth in Clerk:
# - In Clerk Dashboard, go to Social Connections
# - Enable Google provider
# - Get Google OAuth credentials from Google Console
# - Add redirect URI: http://localhost:8000/auth/callback
# 4. Update OAuth URLs:
# - Set CLERK_OAUTH_REDIRECT_URL to your callback URL
# - Set CLERK_FRONTEND_URL to your frontend application URL
# 5. Enable authentication:
# - Set ENABLE_AUTH=true
# 6. Test the OAuth flow:
# - Start server: uvicorn asgi_app:app --reload
# - Visit: http://localhost:8000/auth/login
# - Complete OAuth flow with Google
# - Check: http://localhost:8000/auth/user
@@ -1,2 +0,0 @@
# Auto detect text files and perform LF normalization
* text=auto
@@ -1,37 +0,0 @@
name: Publish to PyPI
on:
release:
types: [published]
workflow_dispatch: # Manual trigger for testing
jobs:
pypi-publish:
name: Upload release to PyPI
runs-on: ubuntu-latest
environment:
name: pypi
url: https://pypi.org/p/yargi-mcp
permissions:
id-token: write # IMPORTANT: this permission is mandatory for trusted publishing
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install build
- name: Build package
run: python -m build
- name: Publish package to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
password: ${{ secrets.PYPI_API_TOKEN }}
skip-existing: true
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@@ -1,215 +0,0 @@
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
.DS_Store
hello.py
*.html
fast-mcp-docs.md
# Debug and test files
debug_*
test_*
CLAUDE.md
# ASGI/Deployment files
ssl/
*.pem
*.key
*.crt
# Docker volumes
redis-data/
# Production logs
logs/*.log.*
# Remove these lines - we need deployment files in git:
# Dockerfile - NEEDED for SaaS deployment
# fly.toml - NEEDED for Fly.io deployment
# .github/workflows/fly-deploy.yml - NEEDED for GitHub Actions
GEMINI.md
fly.toml
scripts/deploy-flyio.sh
docs/DEPLOYMENT_FLYIO.md
setup_jwt_template.py
mcp_server_main.py.backup
mcp_overhead_content.json
ANTHROPIC_TEST_README.md
extract_mcp_overhead.py
mcp_overhead_content.txt
mcp_overhead_summary.txt
run_http_server.py
run_local_test.py
# MCP overhead analysis files
mcp_overhead_*.json
mcp_overhead_*.txt
mcp_test_results_*.json
mcp_quick_test_*.json
# General text files (temporary notes, etc)
*.txt
analyze_playwright_mcp.py
measure_mcp_directly.py
playwright_mcp_overhead.json
simple_test.py
analyze_anayasa_html.py
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# -------- BASE IMAGE (includes Chromium & deps) ----------------------------
FROM mcr.microsoft.com/playwright/python:v1.53.0-noble
# -------- Runtime setup ----------------------------------------------------
WORKDIR /app
# Copy dependency manifests first for layer-cache
COPY pyproject.toml poetry.lock* requirements*.txt* ./
# Fast, deterministic install with `uv`
RUN pip install --no-cache-dir uv && \
uv pip install --system --no-cache-dir .[asgi,saas]
# Copy application source
COPY . .
# -------- Environment ------------------------------------------------------
ENV PYTHONUNBUFFERED=1
ENV ENABLE_AUTH=true
ENV PORT=8000
# -------- Health check -----------------------------------------------------
HEALTHCHECK --interval=30s --timeout=10s --start-period=10s --retries=3 \
CMD python -c "import httpx, os, sys; r=httpx.get(f'http://localhost:{os.getenv(\"PORT\",\"8000\")}/health'); sys.exit(0 if r.status_code==200 else 1)"
EXPOSE 8000
# -------- Entrypoint -------------------------------------------------------
CMD ["uvicorn", "asgi_app:app", "--host", "0.0.0.0", "--port", "8000", "--proxy-headers"]
-21
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@@ -1,21 +0,0 @@
MIT License
Copyright (c) 2025 saidsurucu
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
-1
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@@ -1 +0,0 @@
web: uvicorn asgi_app:app --host 0.0.0.0 --port $PORT
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@@ -1,272 +0,0 @@
# Yargı MCP: Türk Hukuk Kaynakları için MCP Sunucusu
[![Star History Chart](https://api.star-history.com/svg?repos=saidsurucu/yargi-mcp&type=Date)](https://www.star-history.com/#saidsurucu/yargi-mcp&Date)
Bu proje, çeşitli Türk hukuk kaynaklarına (Yargıtay, Danıştay, Emsal Kararlar, Uyuşmazlık Mahkemesi, Anayasa Mahkemesi - Norm Denetimi ile Bireysel Başvuru Kararları, Kamu İhale Kurulu Kararları, Rekabet Kurumu Kararları, Sayıştay Kararları, KVKK Kararları ve BDDK Kararları) erişimi kolaylaştıran bir [FastMCP](https://gofastmcp.com/) sunucusu oluşturur. Bu sayede, bu kaynaklardan veri arama ve belge getirme işlemleri, Model Context Protocol (MCP) destekleyen LLM (Büyük Dil Modeli) uygulamaları (örneğin Claude Desktop veya [5ire](https://5ire.app)) ve diğer istemciler tarafından araç (tool) olarak kullanılabilir hale gelir.
![örnek](./ornek.png)
🎯 **Temel Özellikler**
🚀 **YÜKSEK PERFORMANS OPTİMİZASYONU:** Bu MCP sunucusu **%61.8 token azaltma** ile optimize edilmiştir (8,692 token tasarrufu). Claude AI ile daha hızlı yanıt süreleri ve daha verimli etkileşim sağlar.
* Çeşitli Türk hukuk veritabanlarına programatik erişim için standart bir MCP arayüzü.
* **Kapsamlı Mahkeme Daire/Kurul Filtreleme:** 79 farklı daire/kurul filtreleme seçeneği
* **Dual/Triple API Desteği:** Her mahkeme için birden fazla API kaynağı ile maksimum kapsama
* **Kapsamlı Tarih Filtreleme:** Tüm Bedesten API araçlarında ISO 8601 formatında tarih aralığı filtreleme
* **Kesin Cümle Arama:** Tüm Bedesten API araçlarında çift tırnak ile tam cümle arama desteği
* Aşağıdaki kurumların kararlarını arama ve getirme yeteneği:
* **Yargıtay:** Detaylı kriterlerle karar arama ve karar metinlerini Markdown formatında getirme. **Dual API** (Ana + Bedesten) + **52 Daire/Kurul Filtreleme** + **Tarih & Kesin Cümle Arama** (Hukuk/Ceza Daireleri, Genel Kurullar)
* **Danıştay:** Anahtar kelime bazlı ve detaylı kriterlerle karar arama; karar metinlerini Markdown formatında getirme. **Triple API** (Keyword + Detailed + Bedesten) + **27 Daire/Kurul Filtreleme** + **Tarih & Kesin Cümle Arama** (İdari Daireler, Vergi/İdare Kurulları, Askeri Yüksek İdare Mahkemesi)
* **Yerel Hukuk Mahkemeleri:** Bedesten API ile yerel hukuk mahkemesi kararlarına erişim + **Tarih & Kesin Cümle Arama**
* **İstinaf Hukuk Mahkemeleri:** Bedesten API ile istinaf mahkemesi kararlarına erişim + **Tarih & Kesin Cümle Arama**
* **Kanun Yararına Bozma (KYB):** Bedesten API ile olağanüstü kanun yoluna erişim + **Tarih & Kesin Cümle Arama**
* **Emsal (UYAP):** Detaylı kriterlerle emsal karar arama ve karar metinlerini Markdown formatında getirme.
* **Uyuşmazlık Mahkemesi:** Form tabanlı kriterlerle karar arama ve karar metinlerini (URL ile erişilen) Markdown formatında getirme.
* **Anayasa Mahkemesi (Norm Denetimi):** Kapsamlı kriterlerle norm denetimi kararlarını arama; uzun karar metinlerini (5.000 karakterlik) sayfalanmış Markdown formatında getirme.
* **Anayasa Mahkemesi (Bireysel Başvuru):** Kapsamlı kriterlerle bireysel başvuru "Karar Arama Raporu" oluşturma ve listedeki kararların metinlerini (5.000 karakterlik) sayfalanmış Markdown formatında getirme.
* **KİK (Kamu İhale Kurulu):** Çeşitli kriterlerle Kurul kararlarını arama; uzun karar metinlerini (varsayılan 5.000 karakterlik) sayfalanmış Markdown formatında getirme.
* **Rekabet Kurumu:** Çeşitli kriterlerle Kurul kararlarını arama; karar metinlerini Markdown formatında getirme.
* **Sayıştay:** 3 karar türü ile kapsamlı denetim kararlarına erişim + **8 Daire Filtreleme** + **Tarih Aralığı & İçerik Arama** (Genel Kurul yorumlayıcı kararları, Temyiz Kurulu itiraz kararları, Daire ilk derece denetim kararları)
* **KVKK (Kişisel Verilerin Korunması Kurulu):** Brave Search API ile veri koruma kararlarını arama; uzun karar metinlerini (5.000 karakterlik) sayfalanmış Markdown formatında getirme + **Türkçe Arama** + **Site Hedeflemeli Arama** (kvkk.gov.tr kararları)
* **BDDK (Bankacılık Düzenleme ve Denetleme Kurumu):** Bankacılık düzenleme kararlarını arama; karar metinlerini Markdown formatında getirme + **Optimized Search** + **"Karar Sayısı" Targeting** + **Spesifik URL Filtreleme** (bddk.org.tr/Mevzuat/DokumanGetir)
* Karar metinlerinin daha kolay işlenebilmesi için Markdown formatına çevrilmesi.
* Claude Desktop uygulaması ile `fastmcp install` komutu kullanılarak kolay entegrasyon.
* Yargı MCP artık [5ire](https://5ire.app) gibi Claude Desktop haricindeki MCP istemcilerini de destekliyor!
---
<details>
<summary>🚀 <strong>Claude Haricindeki Modellerle Kullanmak İçin Çok Kolay Kurulum (Örnek: 5ire için)</strong></summary>
Bu bölüm, Yargı MCP aracını 5ire gibi Claude Desktop dışındaki MCP istemcileriyle kullanmak isteyenler içindir.
* **Python Kurulumu:** Sisteminizde Python 3.11 veya üzeri kurulu olmalıdır. Kurulum sırasında "**Add Python to PATH**" (Python'ı PATH'e ekle) seçeneğini işaretlemeyi unutmayın. [Buradan](https://www.python.org/downloads/) indirebilirsiniz.
* **Git Kurulumu (Windows):** Bilgisayarınıza [git](https://git-scm.com/downloads/win) yazılımını indirip kurun. "Git for Windows/x64 Setup" seçeneğini indirmelisiniz.
* **`uv` Kurulumu:**
* **Windows Kullanıcıları (PowerShell):** Bir CMD ekranı açın ve bu kodu çalıştırın: `powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"`
* **Mac/Linux Kullanıcıları (Terminal):** Bir Terminal ekranı açın ve bu kodu çalıştırın: `curl -LsSf https://astral.sh/uv/install.sh | sh`
* **Microsoft Visual C++ Redistributable (Windows):** Bazı Python paketlerinin doğru çalışması için gereklidir. [Buradan](https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist?view=msvc-170) indirip kurun.
* İşletim sisteminize uygun [5ire](https://5ire.app) MCP istemcisini indirip kurun.
* 5ire'ı açın. **Workspace -> Providers** menüsünden kullanmak istediğiniz LLM servisinin API anahtarını girin.
* **Tools** menüsüne girin. **+Local** veya **New** yazan butona basın.
* **Tool Key:** `yargimcp`
* **Name:** `Yargı MCP`
* **Command:**
```
uvx yargi-mcp
```
* **Save** butonuna basarak kaydedin.
![5ire ayarları](./5ire-settings.png)
* Şimdi **Tools** altında **Yargı MCP**'yi görüyor olmalısınız. Üstüne geldiğinizde sağda çıkan butona tıklayıp etkinleştirin (yeşil ışık yanmalı).
* Artık Yargı MCP ile konuşabilirsiniz.
</details>
---
<details>
<summary>⚙️ <strong>Claude Desktop Manuel Kurulumu</strong></summary>
1. **Ön Gereksinimler:** Python, `uv`, (Windows için) Microsoft Visual C++ Redistributable'ın sisteminizde kurulu olduğundan emin olun. Detaylı bilgi için yukarıdaki "5ire için Kurulum" bölümündeki ilgili adımlara bakabilirsiniz.
2. Claude Desktop **Settings -> Developer -> Edit Config**.
3. Açılan `claude_desktop_config.json` dosyasına `mcpServers` altına ekleyin:
```json
{
"mcpServers": {
// ... (varsa diğer sunucularınız) ...
"Yargı MCP": {
"command": "uvx",
"args": [
"yargi-mcp"
]
}
}
}
```
4. Claude Desktop'ı kapatıp yeniden başlatın.
</details>
---
<details>
<summary>🌟 <strong>Gemini CLI ile Kullanım</strong></summary>
Yargı MCP'yi Gemini CLI ile kullanmak için:
1. **Ön Gereksinimler:** Python, `uv`, (Windows için) Microsoft Visual C++ Redistributable'ın sisteminizde kurulu olduğundan emin olun. Detaylı bilgi için yukarıdaki "5ire için Kurulum" bölümündeki ilgili adımlara bakabilirsiniz.
2. **Gemini CLI ayarlarını yapılandırın:**
Gemini CLI'ın ayar dosyasını düzenleyin:
- **macOS/Linux:** `~/.gemini/settings.json`
- **Windows:** `%USERPROFILE%\.gemini\settings.json`
Aşağıdaki `mcpServers` bloğunu ekleyin:
```json
{
"theme": "Default",
"selectedAuthType": "###",
"mcpServers": {
"yargi_mcp": {
"command": "uvx",
"args": [
"yargi-mcp"
]
}
}
}
```
**Yapılandırma açıklamaları:**
- `"yargi_mcp"`: Sunucunuz için yerel bir isim
- `"command"`: `uvx` komutu (uv'nin paket çalıştırma aracı)
- `"args"`: GitHub'dan doğrudan Yargı MCP'yi çalıştırmak için gerekli argümanlar
3. **Kullanım:**
- Gemini CLI'ı başlatın
- Yargı MCP araçları otomatik olarak kullanılabilir olacaktır
- Örnek komutlar:
- "Yargıtay'ın mülkiyet hakkı ile ilgili son kararlarını ara"
- "Danıştay'ın imar planı iptaline ilişkin kararlarını bul"
- "Anayasa Mahkemesi'nin ifade özgürlüğü kararlarını getir"
</details>
<details>
<summary>🛠️ <strong>Kullanılabilir Araçlar (MCP Tools)</strong></summary>
Bu FastMCP sunucusu **19 optimize edilmiş MCP aracı** sunar (token verimliliği için optimize edilmiş):
### **Yargıtay Araçları (Birleşik Bedesten API - Token Optimized)**
*Not: Yargıtay araçları token verimliliği için birleşik Bedesten API'ye entegre edilmiştir*
### **Danıştay Araçları (Birleşik Bedesten API - Token Optimized)**
*Not: Danıştay araçları token verimliliği için birleşik Bedesten API'ye entegre edilmiştir*
### **Birleşik Bedesten API Araçları (5 Mahkeme) - 🚀 TOKEN OPTİMİZE**
1. `search_bedesten_unified(phrase, court_types, birimAdi, kararTarihiStart, kararTarihiEnd, ...)`: **5 mahkeme türünü** birleşik arama (Yargıtay, Danıştay, Yerel Hukuk, İstinaf Hukuk, KYB) + **79 daire filtreleme** + **Tarih & Kesin Cümle Arama**
2. `get_bedesten_document_markdown(documentId: str)`: Bedesten API'den herhangi bir belgeyi Markdown formatında getirir (HTML/PDF → Markdown)
### **Emsal Karar Araçları (UYAP)**
3. `search_emsal_detailed_decisions(keyword, ...)`: Emsal (UYAP) kararlarını detaylı kriterlerle arar.
4. `get_emsal_document_markdown(id: str)`: Belirli bir Emsal kararının metnini Markdown formatında getirir.
### **Uyuşmazlık Mahkemesi Araçları**
5. `search_uyusmazlik_decisions(icerik, ...)`: Uyuşmazlık Mahkemesi kararlarını çeşitli form kriterleriyle arar.
6. `get_uyusmazlik_document_markdown_from_url(document_url)`: Bir Uyuşmazlık kararını tam URL'sinden alıp Markdown formatında getirir.
### **Anayasa Mahkemesi Araçları (Birleşik API) - 🚀 TOKEN OPTİMİZE**
7. `search_anayasa_unified(decision_type, keywords_all, ...)`: AYM kararlarını birleşik arama (Norm Denetimi + Bireysel Başvuru) - **4 araç → 2 araç optimizasyonu**
8. `get_anayasa_document_unified(document_url, page_number)`: AYM kararlarını birleşik belge getirme - **sayfalanmış Markdown** içeriği
### **KİK (Kamu İhale Kurulu) Araçları**
9. `search_kik_decisions(karar_tipi, ...)`: KİK (Kamu İhale Kurulu) kararlarını arar.
10. `get_kik_document_markdown(karar_id, page_number)`: Belirli bir KİK kararını, Base64 ile encode edilmiş `karar_id`'sini kullanarak alır ve **sayfalanmış Markdown** içeriğini getirir.
### **Rekabet Kurumu Araçları**
    * `search_rekabet_kurumu_decisions(KararTuru: Literal[...], ...) -> RekabetSearchResult`: Rekabet Kurumu kararlarını arar. `KararTuru` için kullanıcı dostu isimler kullanılır (örn: "Birleşme ve Devralma").
    * `get_rekabet_kurumu_document(karar_id: str, page_number: Optional[int] = 1) -> RekabetDocument`: Belirli bir Rekabet Kurumu kararını `karar_id` ile alır. Kararın PDF formatındaki orijinalinden istenen sayfayı ayıklar ve Markdown formatında döndürür.
---
* **Sayıştay Araçları (3 Karar Türü + 8 Daire Filtreleme):**
* `search_sayistay_genel_kurul(karar_no, karar_tarih_baslangic, karar_tamami, ...)`: Sayıştay Genel Kurul (yorumlayıcı) kararlarını arar. **Tarih aralığı** (2006-2024) + **İçerik arama** (400 karakter)
* `search_sayistay_temyiz_kurulu(ilam_dairesi, kamu_idaresi_turu, temyiz_karar, ...)`: Temyiz Kurulu (itiraz) kararlarını arar. **8 Daire filtreleme** + **Kurum türü** + **Konu sınıflandırması**
* `search_sayistay_daire(yargilama_dairesi, web_karar_metni, hesap_yili, ...)`: Daire (ilk derece denetim) kararlarını arar. **8 Daire filtreleme** + **Hesap yılı** + **İçerik arama**
* `get_sayistay_genel_kurul_document_markdown(decision_id: str)`: Genel Kurul kararının tam metnini Markdown formatında getirir
* `get_sayistay_temyiz_kurulu_document_markdown(decision_id: str)`: Temyiz Kurulu kararının tam metnini Markdown formatında getirir
* `get_sayistay_daire_document_markdown(decision_id: str)`: Daire kararının tam metnini Markdown formatında getirir
* **KVKK Araçları (Brave Search API + Türkçe Arama):**
* `search_kvkk_decisions(keywords, page, pageSize, ...)`: KVKK (Kişisel Verilerin Korunması Kurulu) kararlarını Brave Search API ile arar. **Türkçe arama** + **Site hedeflemeli** (`site:kvkk.gov.tr "karar özeti"`) + **Sayfalama desteği**
* `get_kvkk_document_markdown(decision_url: str, page_number: Optional[int] = 1)`: KVKK kararının tam metnini **sayfalanmış Markdown** formatında getirir (5.000 karakterlik sayfa)
### BDDK Araçları
* `search_bddk_decisions(keywords, page)`: BDDK (Bankacılık Düzenleme ve Denetleme Kurumu) kararlarını arar. **"Karar Sayısı" targeting** + **Spesifik URL filtreleme** (`bddk.org.tr/Mevzuat/DokumanGetir`) + **Optimized search**
* `get_bddk_document_markdown(document_id: str, page_number: Optional[int] = 1)`: BDDK kararının tam metnini **sayfalanmış Markdown** formatında getirir (5.000 karakterlik sayfa)
</details>
---
<details>
<summary>📊 <strong>Kapsamlı İstatistikler & Optimizasyon Başarıları</strong></summary>
🚀 **TOKEN OPTİMİZASYON BAŞARISI:**
- **%61.8 Token Azaltma:** 14,061 → 5,369 tokens (8,692 token tasarrufu)
- **Hedef Aşım:** 10,000 token hedefini 4,631 token aştık
- **Daha Hızlı Yanıt:** Claude AI ile optimize edilmiş etkileşim
- **Korunan İşlevsellik:** %100 özellik desteği devam ediyor
**GENEL İSTATİSTİKLER:**
- **Toplam Mahkeme/Kurum:** 13 farklı hukuki kurum (KVKK dahil)
- **Toplam MCP Tool:** 19 optimize edilmiş arama ve belge getirme aracı
- **Daire/Kurul Filtreleme:** 87 farklı seçenek (52 Yargıtay + 27 Danıştay + 8 Sayıştay)
- **Tarih Filtreleme:** Birleşik Bedesten API aracında ISO 8601 formatında tam tarih aralığı desteği
- **Kesin Cümle Arama:** Birleşik Bedesten API aracında çift tırnak ile tam cümle arama (`"\"mülkiyet kararı\""` formatı)
- **Birleşik API:** 10 ayrı Bedesten aracı → 2 birleşik araç (search_bedesten_unified + get_bedesten_document_markdown)
- **API Kaynağı:** Dual/Triple API desteği ile maksimum kapsama
- **Tam Türk Adalet Sistemi:** Yerel mahkemelerden en yüksek mahkemelere kadar
**🏛️ Desteklenen Mahkeme Hiyerarşisi:**
```
Yerel Mahkemeler → İstinaf → Yargıtay/Danıştay → Anayasa Mahkemesi
↓ ↓ ↓ ↓
Bedesten API Bedesten API Dual/Triple API Norm+Bireysel API
+ Tarih + Kesin + Tarih + Kesin + Daire + Tarih + Gelişmiş
Cümle Arama Cümle Arama + Kesin Cümle Arama
```
**⚖️ Kapsamlı Filtreleme Özellikleri:**
- **Daire Filtreleme:** 79 seçenek (52 Yargıtay + 27 Danıştay)
- **Yargıtay:** 52 seçenek (1-23 Hukuk, 1-23 Ceza, Genel Kurullar, Başkanlar Kurulu)
- **Danıştay:** 27 seçenek (1-17 Daireler, İdare/Vergi Kurulları, Askeri Mahkemeler)
- **Tarih Filtreleme:** 5 Bedesten API aracında ISO 8601 formatı (YYYY-MM-DDTHH:MM:SS.000Z)
- Tek tarih, tarih aralığı, tek taraflı filtreleme desteği
- Yargıtay, Danıştay, Yerel Hukuk, İstinaf Hukuk, KYB kararları
- **Kesin Cümle Arama:** 5 Bedesten API aracında çift tırnak formatı
- Normal arama: `"mülkiyet kararı"` (kelimeler ayrı ayrı)
- Kesin arama: `"\"mülkiyet kararı\""` (tam cümle olarak)
- Daha kesin sonuçlar için hukuki terimler ve kavramlar
**🔧 OPTİMİZASYON DETAYLARI:**
- **Anayasa Mahkemesi:** 4 araç → 2 birleşik araç (search_anayasa_unified + get_anayasa_document_unified)
- **Yargıtay & Danıştay:** Ana API araçları birleşik Bedesten API'ye entegre edildi
- **Sayıştay:** 6 araç → 2 birleşik araç (search_sayistay_unified + get_sayistay_document_unified)
- **Parameter Optimizasyonu:** pageSize parametreleri optimize edildi
- **Açıklama Optimizasyonu:** Uzun açıklamalar kısaltıldı (örn: KIK karar_metni)
</details>
---
<details>
<summary>🌐 <strong>Web Service / ASGI Deployment</strong></summary>
Yargı MCP artık web servisi olarak da çalıştırılabilir! ASGI desteği sayesinde:
- **Web API olarak erişim**: HTTP endpoint'leri üzerinden MCP araçlarına erişim
- **Cloud deployment**: Heroku, Railway, Google Cloud Run, AWS Lambda desteği
- **Docker desteği**: Production-ready Docker container
- **FastAPI entegrasyonu**: REST API ve interaktif dokümantasyon
**Hızlı başlangıç:**
```bash
# ASGI dependencies yükle
pip install yargi-mcp[asgi]
# Web servisi olarak başlat
python run_asgi.py
# veya
uvicorn asgi_app:app --host 0.0.0.0 --port 8000
```
Detaylı deployment rehberi için: [docs/DEPLOYMENT.md](docs/DEPLOYMENT.md)
</details>
---
📜 **Lisans**
Bu proje MIT Lisansı altında lisanslanmıştır. Detaylar için `LICENSE` dosyasına bakınız.
-7
View File
@@ -1,7 +0,0 @@
#!/usr/bin/env python3
"""Entry point for yargi-mcp package."""
from mcp_server_main import main
if __name__ == "__main__":
main()
@@ -1,355 +0,0 @@
# anayasa_mcp_module/bireysel_client.py
# This client is for Bireysel Başvuru: https://kararlarbilgibankasi.anayasa.gov.tr
import httpx
from bs4 import BeautifulSoup, Tag
from typing import Dict, Any, List, Optional, Tuple
import logging
import html
import re
import io
from urllib.parse import urlencode, urljoin, quote
from markitdown import MarkItDown
import math # For math.ceil for pagination
from .models import (
AnayasaBireyselReportSearchRequest,
AnayasaBireyselReportDecisionDetail,
AnayasaBireyselReportDecisionSummary,
AnayasaBireyselReportSearchResult,
AnayasaBireyselBasvuruDocumentMarkdown, # Model for Bireysel Başvuru document
)
logger = logging.getLogger(__name__)
if not logger.hasHandlers():
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
class AnayasaBireyselBasvuruApiClient:
BASE_URL = "https://kararlarbilgibankasi.anayasa.gov.tr"
SEARCH_PATH = "/Ara"
DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000 # Character limit per page
def __init__(self, request_timeout: float = 60.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
headers={
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
"Accept-Language": "tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
},
timeout=request_timeout,
verify=True,
follow_redirects=True
)
def _build_query_params_for_bireysel_report(self, params: AnayasaBireyselReportSearchRequest) -> List[Tuple[str, str]]:
query_params: List[Tuple[str, str]] = []
query_params.append(("KararBulteni", "1")) # Specific to this report type
if params.keywords:
for kw in params.keywords:
query_params.append(("KelimeAra[]", kw))
if params.page_to_fetch and params.page_to_fetch > 1:
query_params.append(("page", str(params.page_to_fetch)))
return query_params
async def search_bireysel_basvuru_report(
self,
params: AnayasaBireyselReportSearchRequest
) -> AnayasaBireyselReportSearchResult:
final_query_params = self._build_query_params_for_bireysel_report(params)
request_url = self.SEARCH_PATH
logger.info(f"AnayasaBireyselBasvuruApiClient: Performing Bireysel Başvuru Report search. Path: {request_url}, Params: {final_query_params}")
try:
response = await self.http_client.get(request_url, params=final_query_params)
response.raise_for_status()
html_content = response.text
except httpx.RequestError as e:
logger.error(f"AnayasaBireyselBasvuruApiClient: HTTP request error during Bireysel Başvuru Report search: {e}")
raise
except Exception as e:
logger.error(f"AnayasaBireyselBasvuruApiClient: Error processing Bireysel Başvuru Report search request: {e}")
raise
soup = BeautifulSoup(html_content, 'html.parser')
total_records = None
bulunan_karar_div = soup.find("div", class_="bulunankararsayisi")
if bulunan_karar_div:
match_records = re.search(r'(\d+)\s*Karar Bulundu', bulunan_karar_div.get_text(strip=True))
if match_records:
total_records = int(match_records.group(1))
processed_decisions: List[AnayasaBireyselReportDecisionSummary] = []
report_content_area = soup.find("div", class_="HaberBulteni")
if not report_content_area:
logger.warning("HaberBulteni div not found, attempting to parse decision divs from the whole page.")
report_content_area = soup
decision_divs = report_content_area.find_all("div", class_="KararBulteniBirKarar")
if not decision_divs:
logger.warning("No KararBulteniBirKarar divs found.")
for decision_div in decision_divs:
title_tag = decision_div.find("h4")
title_text = title_tag.get_text(strip=True) if title_tag and title_tag.strong else (title_tag.get_text(strip=True) if title_tag else "")
alti_cizili_div = decision_div.find("div", class_="AltiCizili")
ref_no, dec_type, body, app_date, dec_date, url_path = "", "", "", "", "", ""
if alti_cizili_div:
link_tag = alti_cizili_div.find("a", href=True)
if link_tag:
ref_no = link_tag.get_text(strip=True)
url_path = link_tag['href']
parts_text = alti_cizili_div.get_text(separator="|", strip=True)
parts = [part.strip() for part in parts_text.split("|")]
# Clean ref_no from the first part if it was extracted from link
if ref_no and parts and parts[0].strip().startswith(ref_no):
parts[0] = parts[0].replace(ref_no, "").strip()
if not parts[0]: parts.pop(0) # Remove empty string if ref_no was the only content
# Assign parts based on typical order, adjusting for missing ref_no at start
current_idx = 0
if not ref_no and len(parts) > current_idx and re.match(r"\d+/\d+", parts[current_idx]): # Check if first part is ref_no
ref_no = parts[current_idx]
current_idx += 1
dec_type = parts[current_idx] if len(parts) > current_idx else ""
current_idx += 1
body = parts[current_idx] if len(parts) > current_idx else ""
current_idx += 1
app_date_raw = parts[current_idx] if len(parts) > current_idx else ""
current_idx += 1
dec_date_raw = parts[current_idx] if len(parts) > current_idx else ""
if app_date_raw and "Başvuru Tarihi :" in app_date_raw:
app_date = app_date_raw.replace("Başvuru Tarihi :", "").strip()
elif app_date_raw: # If label is missing but format matches
app_date_match = re.search(r'(\d{1,2}/\d{1,2}/\d{4})', app_date_raw)
if app_date_match: app_date = app_date_match.group(1)
if dec_date_raw and "Karar Tarihi :" in dec_date_raw:
dec_date = dec_date_raw.replace("Karar Tarihi :", "").strip()
elif dec_date_raw: # If label is missing but format matches
dec_date_match = re.search(r'(\d{1,2}/\d{1,2}/\d{4})', dec_date_raw)
if dec_date_match: dec_date = dec_date_match.group(1)
subject_div = decision_div.find(lambda tag: tag.name == 'div' and not tag.has_attr('class') and tag.get_text(strip=True).startswith("BAŞVURU KONUSU :"))
subject_text = subject_div.get_text(strip=True).replace("BAŞVURU KONUSU :", "").strip() if subject_div else ""
details_list: List[AnayasaBireyselReportDecisionDetail] = []
karar_detaylari_div = decision_div.find_next_sibling("div", id="KararDetaylari") # Corrected: was KararDetaylari
if karar_detaylari_div:
table = karar_detaylari_div.find("table", class_="table")
if table and table.find("tbody"):
for row in table.find("tbody").find_all("tr"):
cells = row.find_all("td")
if len(cells) == 4: # Hak, Müdahale İddiası, Sonuç, Giderim
details_list.append(AnayasaBireyselReportDecisionDetail(
hak=cells[0].get_text(strip=True) or "",
mudahale_iddiasi=cells[1].get_text(strip=True) or "",
sonuc=cells[2].get_text(strip=True) or "",
giderim=cells[3].get_text(strip=True) or "",
))
full_decision_page_url = urljoin(self.BASE_URL, url_path) if url_path else ""
processed_decisions.append(AnayasaBireyselReportDecisionSummary(
title=title_text,
decision_reference_no=ref_no,
decision_page_url=full_decision_page_url,
decision_type_summary=dec_type,
decision_making_body=body,
application_date_summary=app_date,
decision_date_summary=dec_date,
application_subject_summary=subject_text,
details=details_list
))
return AnayasaBireyselReportSearchResult(
decisions=processed_decisions,
total_records_found=total_records,
retrieved_page_number=params.page_to_fetch
)
def _convert_html_to_markdown_bireysel(self, full_decision_html_content: str) -> Optional[str]:
if not full_decision_html_content:
return None
processed_html = html.unescape(full_decision_html_content)
soup = BeautifulSoup(processed_html, "html.parser")
html_input_for_markdown = ""
karar_tab_content = soup.find("div", id="Karar")
if karar_tab_content:
karar_html_span = karar_tab_content.find("span", class_="kararHtml")
if karar_html_span:
word_section = karar_html_span.find("div", class_="WordSection1")
if word_section:
for s in word_section.select('script, style, .item.col-xs-12.col-sm-12, center:has(b)'):
s.decompose()
html_input_for_markdown = str(word_section)
else:
logger.warning("AnayasaBireyselBasvuruApiClient: WordSection1 not found in span.kararHtml. Using span.kararHtml content.")
for s in karar_html_span.select('script, style, .item.col-xs-12.col-sm-12, center:has(b)'):
s.decompose()
html_input_for_markdown = str(karar_html_span)
else:
logger.warning("AnayasaBireyselBasvuruApiClient: span.kararHtml not found in div#Karar. Using div#Karar content.")
for s in karar_tab_content.select('script, style, .item.col-xs-12.col-sm-12, center:has(b)'):
s.decompose()
html_input_for_markdown = str(karar_tab_content)
else:
logger.warning("AnayasaBireyselBasvuruApiClient: div#Karar (KARAR tab) not found. Trying WordSection1 fallback.")
word_section_fallback = soup.find("div", class_="WordSection1")
if word_section_fallback:
for s in word_section_fallback.select('script, style, .item.col-xs-12.col-sm-12, center:has(b)'):
s.decompose()
html_input_for_markdown = str(word_section_fallback)
else:
body_tag = soup.find("body")
if body_tag:
for s in body_tag.select('script, style, .item.col-xs-12.col-sm-12, center:has(b), .banner, .footer, .yazdirmaalani, .filtreler, .menu, .altmenu, .geri, .arabuton, .temizlebutonu, form#KararGetir, .TabBaslik, #KararDetaylari, .share-button-container'):
s.decompose()
html_input_for_markdown = str(body_tag)
else:
html_input_for_markdown = processed_html
markdown_text = None
try:
# Ensure the content is wrapped in basic HTML structure if it's not already
if not html_input_for_markdown.strip().lower().startswith(("<html", "<!doctype")):
html_content = f"<html><head><meta charset=\"UTF-8\"></head><body>{html_input_for_markdown}</body></html>"
else:
html_content = html_input_for_markdown
# Convert HTML string to bytes and create BytesIO stream
html_bytes = html_content.encode('utf-8')
html_stream = io.BytesIO(html_bytes)
# Pass BytesIO stream to MarkItDown to avoid temp file creation
md_converter = MarkItDown()
conversion_result = md_converter.convert(html_stream)
markdown_text = conversion_result.text_content
except Exception as e:
logger.error(f"AnayasaBireyselBasvuruApiClient: MarkItDown conversion error: {e}")
return markdown_text
async def get_decision_document_as_markdown(
self,
document_url_path: str, # e.g. /BB/2021/20295
page_number: int = 1
) -> AnayasaBireyselBasvuruDocumentMarkdown:
full_url = urljoin(self.BASE_URL, document_url_path)
logger.info(f"AnayasaBireyselBasvuruApiClient: Fetching Bireysel Başvuru document for Markdown (page {page_number}) from URL: {full_url}")
basvuru_no_from_page = None
karar_tarihi_from_page = None
basvuru_tarihi_from_page = None
karari_veren_birim_from_page = None
karar_turu_from_page = None
resmi_gazete_info_from_page = None
try:
response = await self.http_client.get(full_url)
response.raise_for_status()
html_content_from_api = response.text
if not isinstance(html_content_from_api, str) or not html_content_from_api.strip():
logger.warning(f"AnayasaBireyselBasvuruApiClient: Received empty HTML from {full_url}.")
return AnayasaBireyselBasvuruDocumentMarkdown(
source_url=full_url, markdown_chunk=None, current_page=page_number, total_pages=0, is_paginated=False
)
soup = BeautifulSoup(html_content_from_api, 'html.parser')
meta_desc_tag = soup.find("meta", attrs={"name": "description"})
if meta_desc_tag and meta_desc_tag.get("content"):
content = meta_desc_tag["content"]
bn_match = re.search(r"B\.\s*No:\s*([\d\/]+)", content)
if bn_match: basvuru_no_from_page = bn_match.group(1).strip()
date_match = re.search(r"(\d{1,2}\/\d{1,2}\/\d{4}),\s*§", content)
if date_match: karar_tarihi_from_page = date_match.group(1).strip()
karar_detaylari_tab = soup.find("div", id="KararDetaylari")
if karar_detaylari_tab:
table = karar_detaylari_tab.find("table", class_="table")
if table:
rows = table.find_all("tr")
for row in rows:
cells = row.find_all("td")
if len(cells) == 2:
key = cells[0].get_text(strip=True)
value = cells[1].get_text(strip=True)
if "Kararı Veren Birim" in key: karari_veren_birim_from_page = value
elif "Karar Türü (Başvuru Sonucu)" in key: karar_turu_from_page = value
elif "Başvuru No" in key and not basvuru_no_from_page: basvuru_no_from_page = value
elif "Başvuru Tarihi" in key: basvuru_tarihi_from_page = value
elif "Karar Tarihi" in key and not karar_tarihi_from_page: karar_tarihi_from_page = value
elif "Resmi Gazete Tarih / Sayı" in key: resmi_gazete_info_from_page = value
full_markdown_content = self._convert_html_to_markdown_bireysel(html_content_from_api)
if not full_markdown_content:
return AnayasaBireyselBasvuruDocumentMarkdown(
source_url=full_url,
basvuru_no_from_page=basvuru_no_from_page,
karar_tarihi_from_page=karar_tarihi_from_page,
basvuru_tarihi_from_page=basvuru_tarihi_from_page,
karari_veren_birim_from_page=karari_veren_birim_from_page,
karar_turu_from_page=karar_turu_from_page,
resmi_gazete_info_from_page=resmi_gazete_info_from_page,
markdown_chunk=None,
current_page=page_number,
total_pages=0,
is_paginated=False
)
content_length = len(full_markdown_content)
total_pages = math.ceil(content_length / self.DOCUMENT_MARKDOWN_CHUNK_SIZE)
if total_pages == 0: total_pages = 1
current_page_clamped = max(1, min(page_number, total_pages))
start_index = (current_page_clamped - 1) * self.DOCUMENT_MARKDOWN_CHUNK_SIZE
end_index = start_index + self.DOCUMENT_MARKDOWN_CHUNK_SIZE
markdown_chunk = full_markdown_content[start_index:end_index]
return AnayasaBireyselBasvuruDocumentMarkdown(
source_url=full_url,
basvuru_no_from_page=basvuru_no_from_page,
karar_tarihi_from_page=karar_tarihi_from_page,
basvuru_tarihi_from_page=basvuru_tarihi_from_page,
karari_veren_birim_from_page=karari_veren_birim_from_page,
karar_turu_from_page=karar_turu_from_page,
resmi_gazete_info_from_page=resmi_gazete_info_from_page,
markdown_chunk=markdown_chunk,
current_page=current_page_clamped,
total_pages=total_pages,
is_paginated=(total_pages > 1)
)
except httpx.RequestError as e:
logger.error(f"AnayasaBireyselBasvuruApiClient: HTTP error fetching Bireysel Başvuru document from {full_url}: {e}")
raise
except Exception as e:
logger.error(f"AnayasaBireyselBasvuruApiClient: General error processing Bireysel Başvuru document from {full_url}: {e}")
raise
async def close_client_session(self):
if hasattr(self, 'http_client') and self.http_client and not self.http_client.is_closed:
await self.http_client.aclose()
logger.info("AnayasaBireyselBasvuruApiClient: HTTP client session closed.")
@@ -1,356 +0,0 @@
# anayasa_mcp_module/client.py
# This client is for Norm Denetimi: https://normkararlarbilgibankasi.anayasa.gov.tr
import httpx
from bs4 import BeautifulSoup
from typing import Dict, Any, List, Optional, Tuple
import logging
import html
import re
import io
from urllib.parse import urlencode, urljoin, quote
from markitdown import MarkItDown
import math # For math.ceil for pagination
from .models import (
AnayasaNormDenetimiSearchRequest,
AnayasaDecisionSummary,
AnayasaReviewedNormInfo,
AnayasaSearchResult,
AnayasaDocumentMarkdown, # Model for Norm Denetimi document
)
logger = logging.getLogger(__name__)
if not logger.hasHandlers():
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
class AnayasaMahkemesiApiClient:
BASE_URL = "https://normkararlarbilgibankasi.anayasa.gov.tr"
SEARCH_PATH_SEGMENT = "Ara"
DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000 # Character limit per page
def __init__(self, request_timeout: float = 60.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
headers={
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
"Accept-Language": "tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
},
timeout=request_timeout,
verify=True,
follow_redirects=True
)
def _build_search_query_params_for_aym(self, params: AnayasaNormDenetimiSearchRequest) -> List[Tuple[str, str]]:
query_params: List[Tuple[str, str]] = []
if params.keywords_all:
for kw in params.keywords_all: query_params.append(("KelimeAra[]", kw))
if params.keywords_any:
for kw in params.keywords_any: query_params.append(("HerhangiBirKelimeAra[]", kw))
if params.keywords_exclude:
for kw in params.keywords_exclude: query_params.append(("BulunmayanKelimeAra[]", kw))
if params.period and params.period and params.period != "ALL": query_params.append(("Donemler_id", params.period))
if params.case_number_esas: query_params.append(("EsasNo", params.case_number_esas))
if params.decision_number_karar: query_params.append(("KararNo", params.decision_number_karar))
if params.first_review_date_start: query_params.append(("IlkIncelemeTarihiIlk", params.first_review_date_start))
if params.first_review_date_end: query_params.append(("IlkIncelemeTarihiSon", params.first_review_date_end))
if params.decision_date_start: query_params.append(("KararTarihiIlk", params.decision_date_start))
if params.decision_date_end: query_params.append(("KararTarihiSon", params.decision_date_end))
if params.application_type and params.application_type and params.application_type != "ALL": query_params.append(("BasvuruTurler_id", params.application_type))
if params.applicant_general_name: query_params.append(("BasvuranGeneller_id", params.applicant_general_name))
if params.applicant_specific_name: query_params.append(("BasvuranOzeller_id", params.applicant_specific_name))
if params.attending_members_names:
for name in params.attending_members_names: query_params.append(("Uyeler_id[]", name))
if params.rapporteur_name: query_params.append(("Raportorler_id", params.rapporteur_name))
if params.norm_type and params.norm_type and params.norm_type != "ALL": query_params.append(("NormunTurler_id", params.norm_type))
if params.norm_id_or_name: query_params.append(("NormunNumarasiAdlar_id", params.norm_id_or_name))
if params.norm_article: query_params.append(("NormunMaddeNumarasi", params.norm_article))
if params.review_outcomes:
for outcome_val in params.review_outcomes:
if outcome_val and outcome_val != "ALL": query_params.append(("IncelemeTuruKararSonuclar_id[]", outcome_val))
if params.reason_for_final_outcome and params.reason_for_final_outcome and params.reason_for_final_outcome != "ALL":
query_params.append(("KararSonucununGerekcesi", params.reason_for_final_outcome))
if params.basis_constitution_article_numbers:
for article_no in params.basis_constitution_article_numbers: query_params.append(("DayanakHukmu[]", article_no))
if params.official_gazette_date_start: query_params.append(("ResmiGazeteTarihiIlk", params.official_gazette_date_start))
if params.official_gazette_date_end: query_params.append(("ResmiGazeteTarihiSon", params.official_gazette_date_end))
if params.official_gazette_number_start: query_params.append(("ResmiGazeteSayisiIlk", params.official_gazette_number_start))
if params.official_gazette_number_end: query_params.append(("ResmiGazeteSayisiSon", params.official_gazette_number_end))
if params.has_press_release and params.has_press_release and params.has_press_release != "ALL": query_params.append(("BasinDuyurusu", params.has_press_release))
if params.has_dissenting_opinion and params.has_dissenting_opinion and params.has_dissenting_opinion != "ALL": query_params.append(("KarsiOy", params.has_dissenting_opinion))
if params.has_different_reasoning and params.has_different_reasoning and params.has_different_reasoning != "ALL": query_params.append(("FarkliGerekce", params.has_different_reasoning))
# Add pagination and sorting parameters as query params instead of URL path
if params.results_per_page and params.results_per_page != 10:
query_params.append(("SatirSayisi", str(params.results_per_page)))
if params.sort_by_criteria and params.sort_by_criteria != "KararTarihi":
query_params.append(("Siralama", params.sort_by_criteria))
if params.page_to_fetch and params.page_to_fetch > 1:
query_params.append(("page", str(params.page_to_fetch)))
return query_params
async def search_norm_denetimi_decisions(
self,
params: AnayasaNormDenetimiSearchRequest
) -> AnayasaSearchResult:
# Use simple /Ara endpoint - the complex path structure seems to cause 404s
request_path = f"/{self.SEARCH_PATH_SEGMENT}"
final_query_params = self._build_search_query_params_for_aym(params)
logger.info(f"AnayasaMahkemesiApiClient: Performing Norm Denetimi search. Path: {request_path}, Params: {final_query_params}")
try:
response = await self.http_client.get(request_path, params=final_query_params)
response.raise_for_status()
html_content = response.text
except httpx.RequestError as e:
logger.error(f"AnayasaMahkemesiApiClient: HTTP request error during Norm Denetimi search: {e}")
raise
except Exception as e:
logger.error(f"AnayasaMahkemesiApiClient: Error processing Norm Denetimi search request: {e}")
raise
soup = BeautifulSoup(html_content, 'html.parser')
total_records = None
bulunan_karar_div = soup.find("div", class_="bulunankararsayisi")
if not bulunan_karar_div: # Fallback for mobile view
bulunan_karar_div = soup.find("div", class_="bulunankararsayisiMobil")
if bulunan_karar_div:
match_records = re.search(r'(\d+)\s*Karar Bulundu', bulunan_karar_div.get_text(strip=True))
if match_records:
total_records = int(match_records.group(1))
processed_decisions: List[AnayasaDecisionSummary] = []
decision_divs = soup.find_all("div", class_="birkarar")
for decision_div in decision_divs:
link_tag = decision_div.find("a", href=True)
doc_url_path = link_tag['href'] if link_tag else None
decision_page_url_str = urljoin(self.BASE_URL, doc_url_path) if doc_url_path else None
title_div = decision_div.find("div", class_="bkararbaslik")
ek_no_text_raw = title_div.get_text(strip=True, separator=" ").replace('\xa0', ' ') if title_div else ""
ek_no_match = re.search(r"(E\.\s*\d+/\d+\s*,\s*K\.\s*\d+/\d+)", ek_no_text_raw)
ek_no_text = ek_no_match.group(1) if ek_no_match else ek_no_text_raw.split("Sayılı Karar")[0].strip()
keyword_count_div = title_div.find("div", class_="BulunanKelimeSayisi") if title_div else None
keyword_count_text = keyword_count_div.get_text(strip=True).replace("Bulunan Kelime Sayısı", "").strip() if keyword_count_div else None
keyword_count = int(keyword_count_text) if keyword_count_text and keyword_count_text.isdigit() else None
info_div = decision_div.find("div", class_="kararbilgileri")
info_parts = [part.strip() for part in info_div.get_text(separator="|").split("|")] if info_div else []
app_type_summary = info_parts[0] if len(info_parts) > 0 else None
applicant_summary = info_parts[1] if len(info_parts) > 1 else None
outcome_summary = info_parts[2] if len(info_parts) > 2 else None
dec_date_raw = info_parts[3] if len(info_parts) > 3 else None
decision_date_summary = dec_date_raw.replace("Karar Tarihi:", "").strip() if dec_date_raw else None
reviewed_norms_list: List[AnayasaReviewedNormInfo] = []
details_table_container = decision_div.find_next_sibling("div", class_=re.compile(r"col-sm-12")) # The details table is in a sibling div
if details_table_container:
details_table = details_table_container.find("table", class_="table")
if details_table and details_table.find("tbody"):
for row in details_table.find("tbody").find_all("tr"):
cells = row.find_all("td")
if len(cells) == 6:
reviewed_norms_list.append(AnayasaReviewedNormInfo(
norm_name_or_number=cells[0].get_text(strip=True) or None,
article_number=cells[1].get_text(strip=True) or None,
review_type_and_outcome=cells[2].get_text(strip=True) or None,
outcome_reason=cells[3].get_text(strip=True) or None,
basis_constitution_articles_cited=[a.strip() for a in cells[4].get_text(strip=True).split(',') if a.strip()] if cells[4].get_text(strip=True) else [],
postponement_period=cells[5].get_text(strip=True) or None
))
processed_decisions.append(AnayasaDecisionSummary(
decision_reference_no=ek_no_text,
decision_page_url=decision_page_url_str,
keywords_found_count=keyword_count,
application_type_summary=app_type_summary,
applicant_summary=applicant_summary,
decision_outcome_summary=outcome_summary,
decision_date_summary=decision_date_summary,
reviewed_norms=reviewed_norms_list
))
return AnayasaSearchResult(
decisions=processed_decisions,
total_records_found=total_records,
retrieved_page_number=params.page_to_fetch
)
def _convert_html_to_markdown_norm_denetimi(self, full_decision_html_content: str) -> Optional[str]:
"""Converts direct HTML content from an Anayasa Mahkemesi Norm Denetimi decision page to Markdown."""
if not full_decision_html_content:
return None
processed_html = html.unescape(full_decision_html_content)
soup = BeautifulSoup(processed_html, "html.parser")
html_input_for_markdown = ""
karar_tab_content = soup.find("div", id="Karar") # "KARAR" tab content
if karar_tab_content:
karar_metni_div = karar_tab_content.find("div", class_="KararMetni")
if karar_metni_div:
# Remove scripts and styles
for script_tag in karar_metni_div.find_all("script"): script_tag.decompose()
for style_tag in karar_metni_div.find_all("style"): style_tag.decompose()
# Remove "Künye Kopyala" button and other non-content divs
for item_div in karar_metni_div.find_all("div", class_="item col-sm-12"): item_div.decompose()
for modal_div in karar_metni_div.find_all("div", class_="modal fade"): modal_div.decompose() # If any modals
word_section = karar_metni_div.find("div", class_="WordSection1")
html_input_for_markdown = str(word_section) if word_section else str(karar_metni_div)
else:
html_input_for_markdown = str(karar_tab_content)
else:
# Fallback if specific structure is not found
word_section_fallback = soup.find("div", class_="WordSection1")
if word_section_fallback:
html_input_for_markdown = str(word_section_fallback)
else:
# Last resort: use the whole body or the raw HTML
body_tag = soup.find("body")
html_input_for_markdown = str(body_tag) if body_tag else processed_html
markdown_text = None
try:
# Ensure the content is wrapped in basic HTML structure if it's not already
if not html_input_for_markdown.strip().lower().startswith(("<html", "<!doctype")):
html_content = f"<html><head><meta charset=\"UTF-8\"></head><body>{html_input_for_markdown}</body></html>"
else:
html_content = html_input_for_markdown
# Convert HTML string to bytes and create BytesIO stream
html_bytes = html_content.encode('utf-8')
html_stream = io.BytesIO(html_bytes)
# Pass BytesIO stream to MarkItDown to avoid temp file creation
md_converter = MarkItDown()
conversion_result = md_converter.convert(html_stream)
markdown_text = conversion_result.text_content
except Exception as e:
logger.error(f"AnayasaMahkemesiApiClient: MarkItDown conversion error: {e}")
return markdown_text
async def get_decision_document_as_markdown(
self,
document_url: str,
page_number: int = 1
) -> AnayasaDocumentMarkdown:
"""
Retrieves a specific Anayasa Mahkemesi (Norm Denetimi) decision,
converts its content to Markdown, and returns the requested page/chunk.
"""
full_url = urljoin(self.BASE_URL, document_url) if not document_url.startswith("http") else document_url
logger.info(f"AnayasaMahkemesiApiClient: Fetching Norm Denetimi document for Markdown (page {page_number}) from URL: {full_url}")
decision_ek_no_from_page = None
decision_date_from_page = None
official_gazette_from_page = None
try:
# Use a new client instance for document fetching if headers/timeout needs to be different,
# or reuse self.http_client if settings are compatible. For now, self.http_client.
get_response = await self.http_client.get(full_url, headers={"Accept": "text/html"})
get_response.raise_for_status()
html_content_from_api = get_response.text
if not isinstance(html_content_from_api, str) or not html_content_from_api.strip():
logger.warning(f"AnayasaMahkemesiApiClient: Received empty or non-string HTML from URL {full_url}.")
return AnayasaDocumentMarkdown(
source_url=full_url, markdown_chunk=None, current_page=page_number, total_pages=0, is_paginated=False
)
# Extract metadata from the page content (E.K. No, Date, RG)
soup = BeautifulSoup(html_content_from_api, "html.parser")
karar_metni_div = soup.find("div", class_="KararMetni") # Usually within div#Karar
if not karar_metni_div: # Fallback if not in KararMetni
karar_metni_div = soup.find("div", class_="WordSection1")
# Initialize with empty string defaults
decision_ek_no_from_page = ""
decision_date_from_page = ""
official_gazette_from_page = ""
if karar_metni_div:
# Attempt to find E.K. No (Esas No, Karar No)
# Norm Denetimi pages often have this in bold <p> tags directly or in the WordSection1
# Look for patterns like "Esas No.: YYYY/NN" and "Karar No.: YYYY/NN"
esas_no_tag = karar_metni_div.find(lambda tag: tag.name == "p" and tag.find("b") and "Esas No.:" in tag.find("b").get_text())
karar_no_tag = karar_metni_div.find(lambda tag: tag.name == "p" and tag.find("b") and "Karar No.:" in tag.find("b").get_text())
karar_tarihi_tag = karar_metni_div.find(lambda tag: tag.name == "p" and tag.find("b") and "Karar tarihi:" in tag.find("b").get_text()) # Less common on Norm pages
resmi_gazete_tag = karar_metni_div.find(lambda tag: tag.name == "p" and ("Resmî Gazete tarih ve sayısı:" in tag.get_text() or "Resmi Gazete tarih/sayı:" in tag.get_text()))
if esas_no_tag and esas_no_tag.find("b") and karar_no_tag and karar_no_tag.find("b"):
esas_str = esas_no_tag.find("b").get_text(strip=True).replace('Esas No.:', '').strip()
karar_str = karar_no_tag.find("b").get_text(strip=True).replace('Karar No.:', '').strip()
decision_ek_no_from_page = f"E.{esas_str}, K.{karar_str}"
if karar_tarihi_tag and karar_tarihi_tag.find("b"):
decision_date_from_page = karar_tarihi_tag.find("b").get_text(strip=True).replace("Karar tarihi:", "").strip()
elif karar_metni_div: # Fallback for Karar Tarihi if not in specific tag
date_match = re.search(r"Karar Tarihi\s*:\s*([\d\.]+)", karar_metni_div.get_text()) # Norm pages often use DD.MM.YYYY
if date_match: decision_date_from_page = date_match.group(1).strip()
if resmi_gazete_tag:
# Try to get the bold part first if it exists
bold_rg_tag = resmi_gazete_tag.find("b")
rg_text_content = bold_rg_tag.get_text(strip=True) if bold_rg_tag else resmi_gazete_tag.get_text(strip=True)
official_gazette_from_page = rg_text_content.replace("Resmî Gazete tarih ve sayısı:", "").replace("Resmi Gazete tarih/sayı:", "").strip()
full_markdown_content = self._convert_html_to_markdown_norm_denetimi(html_content_from_api)
if not full_markdown_content:
return AnayasaDocumentMarkdown(
source_url=full_url,
decision_reference_no_from_page=decision_ek_no_from_page,
decision_date_from_page=decision_date_from_page,
official_gazette_info_from_page=official_gazette_from_page,
markdown_chunk=None,
current_page=page_number,
total_pages=0,
is_paginated=False
)
content_length = len(full_markdown_content)
total_pages = math.ceil(content_length / self.DOCUMENT_MARKDOWN_CHUNK_SIZE)
if total_pages == 0: total_pages = 1
current_page_clamped = max(1, min(page_number, total_pages))
start_index = (current_page_clamped - 1) * self.DOCUMENT_MARKDOWN_CHUNK_SIZE
end_index = start_index + self.DOCUMENT_MARKDOWN_CHUNK_SIZE
markdown_chunk = full_markdown_content[start_index:end_index]
return AnayasaDocumentMarkdown(
source_url=full_url,
decision_reference_no_from_page=decision_ek_no_from_page,
decision_date_from_page=decision_date_from_page,
official_gazette_info_from_page=official_gazette_from_page,
markdown_chunk=markdown_chunk,
current_page=current_page_clamped,
total_pages=total_pages,
is_paginated=(total_pages > 1)
)
except httpx.RequestError as e:
logger.error(f"AnayasaMahkemesiApiClient: HTTP error fetching Norm Denetimi document from {full_url}: {e}")
raise
except Exception as e:
logger.error(f"AnayasaMahkemesiApiClient: General error processing Norm Denetimi document from {full_url}: {e}")
raise
async def close_client_session(self):
if hasattr(self, 'http_client') and self.http_client and not self.http_client.is_closed:
await self.http_client.aclose()
logger.info("AnayasaMahkemesiApiClient (Norm Denetimi): HTTP client session closed.")
@@ -1,230 +0,0 @@
# anayasa_mcp_module/models.py
from pydantic import BaseModel, Field, HttpUrl
from typing import List, Optional, Dict, Any, Literal
from enum import Enum
# --- Enums (AnayasaDonemEnum, etc. - same as before) ---
class AnayasaDonemEnum(str, Enum):
TUMU = "ALL"
DONEM_1961 = "1"
DONEM_1982 = "2"
class AnayasaVarYokEnum(str, Enum):
TUMU = "ALL"
YOK = "0"
VAR = "1"
class AnayasaIncelemeSonucuEnum(str, Enum):
TUMU = "ALL"
ESAS_ACILMAMIS_SAYILMA = "1"
ESAS_IPTAL = "2"
ESAS_KARAR_YER_OLMADIGI = "3"
ESAS_RET = "4"
ILK_ACILMAMIS_SAYILMA = "5"
ILK_ISIN_GERI_CEVRILMESI = "6"
ILK_KARAR_YER_OLMADIGI = "7"
ILK_RET = "8"
KANUN_6216_M43_4_IPTAL = "12"
class AnayasaSonucGerekcesiEnum(str, Enum):
TUMU = "ALL"
ANAYASAYA_AYKIRI_DEGIL = "29"
ANAYASAYA_ESAS_YONUNDEN_AYKIRILIK = "1"
ANAYASAYA_ESAS_YONUNDEN_UYGUNLUK = "2"
ANAYASAYA_SEKIL_ESAS_UYGUNLUK = "30"
ANAYASAYA_SEKIL_YONUNDEN_AYKIRILIK = "3"
ANAYASAYA_SEKIL_YONUNDEN_UYGUNLUK = "4"
AYKIRILIK_ANAYASAYA_ESAS_YONUNDEN_DUPLICATE = "27"
BASVURU_KARARI = "5"
DENETIM_DISI = "6"
DIGER_GEREKCE_1 = "7"
DIGER_GEREKCE_2 = "8"
EKSIKLIGIN_GIDERILMEMESI = "9"
GEREKCE = "10"
GOREV = "11"
GOREV_YETKI = "12"
GOREVLI_MAHKEME = "13"
GORULMEKTE_OLAN_DAVA = "14"
MAHKEME = "15"
NORMDA_DEGISIKLIK_YAPILMASI = "16"
NORMUN_YURURLUKTEN_KALDIRILMASI = "17"
ON_YIL_YASAGI = "18"
SURE = "19"
USULE_UYMAMA = "20"
UYGULANACAK_NORM = "21"
UYGULANAMAZ_HALE_GELME = "22"
YETKI = "23"
YETKI_SURE = "24"
YOK_HUKMUNDE_OLMAMA = "25"
YOKLUK = "26"
# --- End Enums ---
class AnayasaNormDenetimiSearchRequest(BaseModel):
"""Model for Anayasa Mahkemesi (Norm Denetimi) search request for the MCP tool."""
keywords_all: Optional[List[str]] = Field(default_factory=list, description="Keywords for AND logic (KelimeAra[]).")
keywords_any: Optional[List[str]] = Field(default_factory=list, description="Keywords for OR logic (HerhangiBirKelimeAra[]).")
keywords_exclude: Optional[List[str]] = Field(default_factory=list, description="Keywords to exclude (BulunmayanKelimeAra[]).")
period: Optional[Literal["ALL", "1", "2"]] = Field(default="ALL", description="Constitutional period (Donemler_id).")
case_number_esas: str = Field("", description="Case registry number (EsasNo), e.g., '2023/123'.")
decision_number_karar: str = Field("", description="Decision number (KararNo), e.g., '2023/456'.")
first_review_date_start: str = Field("", description="First review start date (IlkIncelemeTarihiIlk), format DD/MM/YYYY.")
first_review_date_end: str = Field("", description="First review end date (IlkIncelemeTarihiSon), format DD/MM/YYYY.")
decision_date_start: str = Field("", description="Decision start date (KararTarihiIlk), format DD/MM/YYYY.")
decision_date_end: str = Field("", description="Decision end date (KararTarihiSon), format DD/MM/YYYY.")
application_type: Optional[Literal["ALL", "1", "2", "3"]] = Field(default="ALL", description="Type of application (BasvuruTurler_id).")
applicant_general_name: str = Field("", description="General applicant name (BasvuranGeneller_id).")
applicant_specific_name: str = Field("", description="Specific applicant name (BasvuranOzeller_id).")
official_gazette_date_start: str = Field("", description="Official Gazette start date (ResmiGazeteTarihiIlk), format DD/MM/YYYY.")
official_gazette_date_end: str = Field("", description="Official Gazette end date (ResmiGazeteTarihiSon), format DD/MM/YYYY.")
official_gazette_number_start: str = Field("", description="Official Gazette starting number (ResmiGazeteSayisiIlk).")
official_gazette_number_end: str = Field("", description="Official Gazette ending number (ResmiGazeteSayisiSon).")
has_press_release: Optional[Literal["ALL", "0", "1"]] = Field(default="ALL", description="Press release available (BasinDuyurusu).")
has_dissenting_opinion: Optional[Literal["ALL", "0", "1"]] = Field(default="ALL", description="Dissenting opinion exists (KarsiOy).")
has_different_reasoning: Optional[Literal["ALL", "0", "1"]] = Field(default="ALL", description="Different reasoning exists (FarkliGerekce).")
attending_members_names: Optional[List[str]] = Field(default_factory=list, description="List of attending members' exact names (Uyeler_id[]).")
rapporteur_name: str = Field("", description="Rapporteur's exact name (Raportorler_id).")
norm_type: Optional[Literal["ALL", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "0"]] = Field(default="ALL", description="Type of the reviewed norm (NormunTurler_id).")
norm_id_or_name: str = Field("", description="Number or name of the norm (NormunNumarasiAdlar_id).")
norm_article: str = Field("", description="Article number of the norm (NormunMaddeNumarasi).")
review_outcomes: Optional[List[Literal["1", "2", "3", "4", "5", "6", "7", "8", "12"]]] = Field(default_factory=list, description="List of review types and outcomes (IncelemeTuruKararSonuclar_id[]).")
reason_for_final_outcome: Optional[Literal["ALL", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "29", "30"]] = Field(default="ALL", description="Main reason for the decision outcome (KararSonucununGerekcesi).")
basis_constitution_article_numbers: Optional[List[str]] = Field(default_factory=list, description="List of supporting Constitution article numbers (DayanakHukmu[]).")
results_per_page: int = Field(10, ge=1, le=10, description="Results per page.")
page_to_fetch: int = Field(1, ge=1, description="Page number to fetch for results list.")
sort_by_criteria: str = Field("KararTarihi", description="Sort criteria. Options: 'KararTarihi', 'YayinTarihi', 'Toplam' (keyword count).")
class AnayasaReviewedNormInfo(BaseModel):
"""Details of a norm reviewed within an AYM decision summary."""
norm_name_or_number: str = Field("", description="Norm name or number")
article_number: str = Field("", description="Article number")
review_type_and_outcome: str = Field("", description="Review type and outcome")
outcome_reason: str = Field("", description="Outcome reason")
basis_constitution_articles_cited: List[str] = Field(default_factory=list)
postponement_period: str = Field("", description="Postponement period")
class AnayasaDecisionSummary(BaseModel):
"""Model for a single Anayasa Mahkemesi (Norm Denetimi) decision summary from search results."""
decision_reference_no: str = Field("", description="Decision reference number")
decision_page_url: str = Field("", description="Decision page URL")
keywords_found_count: Optional[int] = Field(0, description="Keywords found count")
application_type_summary: str = Field("", description="Application type summary")
applicant_summary: str = Field("", description="Applicant summary")
decision_outcome_summary: str = Field("", description="Decision outcome summary")
decision_date_summary: str = Field("", description="Decision date summary")
reviewed_norms: List[AnayasaReviewedNormInfo] = Field(default_factory=list)
class AnayasaSearchResult(BaseModel):
"""Model for the overall search result for Anayasa Mahkemesi Norm Denetimi decisions."""
decisions: List[AnayasaDecisionSummary]
total_records_found: int = Field(0, description="Total records found")
retrieved_page_number: int = Field(1, description="Retrieved page number")
class AnayasaDocumentMarkdown(BaseModel):
"""
Model for an Anayasa Mahkemesi (Norm Denetimi) decision document, containing a chunk of Markdown content
and pagination information.
"""
source_url: HttpUrl
decision_reference_no_from_page: str = Field("", description="E.K. No parsed from the document page.")
decision_date_from_page: str = Field("", description="Decision date parsed from the document page.")
official_gazette_info_from_page: str = Field("", description="Official Gazette info parsed from the document page.")
markdown_chunk: str = Field("", description="A 5,000 character chunk of the Markdown content.") # Corrected chunk size
current_page: int = Field(description="The current page number of the markdown chunk (1-indexed).")
total_pages: int = Field(description="Total number of pages for the full markdown content.")
is_paginated: bool = Field(description="True if the full markdown content is split into multiple pages.")
# --- Models for Anayasa Mahkemesi - Bireysel Başvuru Karar Raporu ---
class AnayasaBireyselReportSearchRequest(BaseModel):
"""Model for Anayasa Mahkemesi (Bireysel Başvuru) 'Karar Arama Raporu' search request."""
keywords: Optional[List[str]] = Field(default_factory=list, description="Keywords for AND logic (KelimeAra[]).")
page_to_fetch: int = Field(1, ge=1, description="Page number to fetch for the report (page). Default is 1.")
class AnayasaBireyselReportDecisionDetail(BaseModel):
"""Details of a specific right/claim within a Bireysel Başvuru decision summary in a report."""
hak: str = Field("", description="İhlal edildiği iddia edilen hak (örneğin, Mülkiyet hakkı).")
mudahale_iddiasi: str = Field("", description="İhlale neden olan müdahale iddiası.")
sonuc: str = Field("", description="İnceleme sonucu (örneğin, İhlal, Düşme).")
giderim: str = Field("", description="Kararlaştırılan giderim (örneğin, Yeniden yargılama).")
class AnayasaBireyselReportDecisionSummary(BaseModel):
"""Model for a single Anayasa Mahkemesi (Bireysel Başvuru) decision summary from a 'Karar Arama Raporu'."""
title: str = Field("", description="Başvurunun başlığı (e.g., 'HASAN DURMUŞ Başvurusuna İlişkin Karar').")
decision_reference_no: str = Field("", description="Başvuru Numarası (e.g., '2019/19126').")
decision_page_url: str = Field("", description="URL to the full decision page.")
decision_type_summary: str = Field("", description="Karar Türü (Başvuru Sonucu) (e.g., 'Esas (İhlal)').")
decision_making_body: str = Field("", description="Kararı Veren Birim (e.g., 'Genel Kurul', 'Birinci Bölüm').")
application_date_summary: str = Field("", description="Başvuru Tarihi (DD/MM/YYYY).")
decision_date_summary: str = Field("", description="Karar Tarihi (DD/MM/YYYY).")
application_subject_summary: str = Field("", description="Başvuru konusunun özeti.")
details: List[AnayasaBireyselReportDecisionDetail] = Field(default_factory=list, description="İncelenen haklar ve sonuçlarına ilişkin detaylar.")
class AnayasaBireyselReportSearchResult(BaseModel):
"""Model for the overall search result for Anayasa Mahkemesi 'Karar Arama Raporu'."""
decisions: List[AnayasaBireyselReportDecisionSummary]
total_records_found: int = Field(0, description="Raporda bulunan toplam karar sayısı.")
retrieved_page_number: int = Field(description="Alınan rapor sayfa numarası.")
class AnayasaBireyselBasvuruDocumentMarkdown(BaseModel):
"""
Model for an Anayasa Mahkemesi (Bireysel Başvuru) decision document, containing a chunk of Markdown content
and pagination information. Fetched from /BB/YYYY/NNNN paths.
"""
source_url: HttpUrl
basvuru_no_from_page: Optional[str] = Field(None, description="Başvuru Numarası (B.No) parsed from the document page.")
karar_tarihi_from_page: Optional[str] = Field(None, description="Decision date parsed from the document page.")
basvuru_tarihi_from_page: Optional[str] = Field(None, description="Application date parsed from the document page.")
karari_veren_birim_from_page: Optional[str] = Field(None, description="Deciding body (Bölüm/Genel Kurul) parsed from the document page.")
karar_turu_from_page: Optional[str] = Field(None, description="Decision type (Başvuru Sonucu) parsed from the document page.")
resmi_gazete_info_from_page: Optional[str] = Field(None, description="Official Gazette info parsed from the document page, if available.")
markdown_chunk: Optional[str] = Field(None, description="A 5,000 character chunk of the Markdown content.")
current_page: int = Field(description="The current page number of the markdown chunk (1-indexed).")
total_pages: int = Field(description="Total number of pages for the full markdown content.")
is_paginated: bool = Field(description="True if the full markdown content is split into multiple pages.")
# --- End Models for Bireysel Başvuru ---
# --- Unified Models ---
class AnayasaUnifiedSearchRequest(BaseModel):
"""Unified search request for both Norm Denetimi and Bireysel Başvuru."""
decision_type: Literal["norm_denetimi", "bireysel_basvuru"] = Field(..., description="Decision type: norm_denetimi or bireysel_basvuru")
# Common parameters
keywords: List[str] = Field(default_factory=list, description="Keywords to search for")
page_to_fetch: int = Field(1, ge=1, le=100, description="Page number to fetch (1-100)")
results_per_page: int = Field(10, ge=1, le=100, description="Results per page (1-100)")
# Norm Denetimi specific parameters (ignored for bireysel_basvuru)
keywords_all: List[str] = Field(default_factory=list, description="All keywords must be present (norm_denetimi only)")
keywords_any: List[str] = Field(default_factory=list, description="Any of these keywords (norm_denetimi only)")
decision_type_norm: Literal["ALL", "1", "2", "3"] = Field("ALL", description="Decision type for norm denetimi")
application_date_start: str = Field("", description="Application start date (norm_denetimi only)")
application_date_end: str = Field("", description="Application end date (norm_denetimi only)")
# Bireysel Başvuru specific parameters (ignored for norm_denetimi)
decision_start_date: str = Field("", description="Decision start date (bireysel_basvuru only)")
decision_end_date: str = Field("", description="Decision end date (bireysel_basvuru only)")
norm_type: Literal["ALL", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "0"] = Field("ALL", description="Norm type (bireysel_basvuru only)")
subject_category: str = Field("", description="Subject category (bireysel_basvuru only)")
class AnayasaUnifiedSearchResult(BaseModel):
"""Unified search result containing decisions from either system."""
decision_type: Literal["norm_denetimi", "bireysel_basvuru"] = Field(..., description="Type of decisions returned")
decisions: List[Dict[str, Any]] = Field(default_factory=list, description="Decision list (structure varies by type)")
total_records_found: int = Field(0, description="Total number of records found")
retrieved_page_number: int = Field(1, description="Page number that was retrieved")
class AnayasaUnifiedDocumentMarkdown(BaseModel):
"""Unified document model for both Norm Denetimi and Bireysel Başvuru."""
decision_type: Literal["norm_denetimi", "bireysel_basvuru"] = Field(..., description="Type of document")
source_url: HttpUrl = Field(..., description="Source URL of the document")
document_data: Dict[str, Any] = Field(default_factory=dict, description="Document content and metadata")
markdown_chunk: Optional[str] = Field(None, description="Markdown content chunk")
current_page: int = Field(1, description="Current page number")
total_pages: int = Field(1, description="Total number of pages")
is_paginated: bool = Field(False, description="Whether document is paginated")
@@ -1,122 +0,0 @@
# anayasa_mcp_module/unified_client.py
# Unified client for both Norm Denetimi and Bireysel Başvuru
import logging
from typing import Optional
from urllib.parse import urlparse
from .models import (
AnayasaUnifiedSearchRequest,
AnayasaUnifiedSearchResult,
AnayasaUnifiedDocumentMarkdown,
# Removed AnayasaDecisionTypeEnum - now using string literals
AnayasaNormDenetimiSearchRequest,
AnayasaBireyselReportSearchRequest
)
from .client import AnayasaMahkemesiApiClient
from .bireysel_client import AnayasaBireyselBasvuruApiClient
logger = logging.getLogger(__name__)
class AnayasaUnifiedClient:
"""Unified client that handles both Norm Denetimi and Bireysel Başvuru searches."""
def __init__(self, request_timeout: float = 60.0):
self.norm_client = AnayasaMahkemesiApiClient(request_timeout)
self.bireysel_client = AnayasaBireyselBasvuruApiClient(request_timeout)
async def search_unified(self, params: AnayasaUnifiedSearchRequest) -> AnayasaUnifiedSearchResult:
"""Unified search that routes to appropriate client based on decision_type."""
if params.decision_type == "norm_denetimi":
# Convert to norm denetimi request
norm_params = AnayasaNormDenetimiSearchRequest(
keywords_all=params.keywords_all or params.keywords,
keywords_any=params.keywords_any,
application_type=params.decision_type_norm,
page_to_fetch=params.page_to_fetch,
results_per_page=params.results_per_page
)
result = await self.norm_client.search_norm_denetimi_decisions(norm_params)
# Convert to unified format
decisions_list = [decision.model_dump() for decision in result.decisions]
return AnayasaUnifiedSearchResult(
decision_type="norm_denetimi",
decisions=decisions_list,
total_records_found=result.total_records_found,
retrieved_page_number=result.retrieved_page_number
)
elif params.decision_type == "bireysel_basvuru":
# Convert to bireysel başvuru request
bireysel_params = AnayasaBireyselReportSearchRequest(
keywords=params.keywords,
decision_start_date=params.decision_start_date,
decision_end_date=params.decision_end_date,
norm_type=params.norm_type,
subject_category=params.subject_category,
page_to_fetch=params.page_to_fetch,
results_per_page=params.results_per_page
)
result = await self.bireysel_client.search_bireysel_basvuru_report(bireysel_params)
# Convert to unified format
decisions_list = [decision.model_dump() for decision in result.decisions]
return AnayasaUnifiedSearchResult(
decision_type="bireysel_basvuru",
decisions=decisions_list,
total_records_found=result.total_records_found,
retrieved_page_number=result.retrieved_page_number
)
else:
raise ValueError(f"Unsupported decision type: {params.decision_type}")
async def get_document_unified(self, document_url: str, page_number: int = 1) -> AnayasaUnifiedDocumentMarkdown:
"""Unified document retrieval that auto-detects the appropriate client."""
# Auto-detect decision type based on URL
parsed_url = urlparse(document_url)
if "normkararlarbilgibankasi" in parsed_url.netloc or "/ND/" in document_url:
# Norm Denetimi document
result = await self.norm_client.get_decision_document_as_markdown(document_url, page_number)
return AnayasaUnifiedDocumentMarkdown(
decision_type="norm_denetimi",
source_url=result.source_url,
document_data=result.model_dump(),
markdown_chunk=result.markdown_chunk,
current_page=result.current_page,
total_pages=result.total_pages,
is_paginated=result.is_paginated
)
elif "kararlarbilgibankasi" in parsed_url.netloc or "/BB/" in document_url:
# Bireysel Başvuru document
result = await self.bireysel_client.get_decision_document_as_markdown(document_url, page_number)
return AnayasaUnifiedDocumentMarkdown(
decision_type="bireysel_basvuru",
source_url=result.source_url,
document_data=result.model_dump(),
markdown_chunk=result.markdown_chunk,
current_page=result.current_page,
total_pages=result.total_pages,
is_paginated=result.is_paginated
)
else:
raise ValueError(f"Cannot determine document type from URL: {document_url}")
async def close_client_session(self):
"""Close both client sessions."""
if hasattr(self.norm_client, 'close_client_session'):
await self.norm_client.close_client_session()
if hasattr(self.bireysel_client, 'close_client_session'):
await self.bireysel_client.close_client_session()
-566
View File
@@ -1,566 +0,0 @@
"""
ASGI application for Yargı MCP Server
This module provides ASGI/HTTP access to the Yargı MCP server,
allowing it to be deployed as a web service with FastAPI wrapper
for Stripe webhook integration.
Usage:
uvicorn asgi_app:app --host 0.0.0.0 --port 8000
"""
import os
import time
import logging
from datetime import datetime, timedelta
from fastapi import FastAPI, Request, HTTPException, Query
from fastapi.responses import JSONResponse, HTMLResponse
from fastapi.exception_handlers import http_exception_handler
from starlette.middleware import Middleware
from starlette.middleware.cors import CORSMiddleware
from starlette.responses import Response
from starlette.requests import Request as StarletteRequest
# Import the MCP app creator function
from mcp_server_main import create_app
# Import Stripe webhook router
from stripe_webhook import router as stripe_router
# Import simplified MCP Auth HTTP adapter
from mcp_auth_http_simple import router as mcp_auth_router
# OAuth configuration from environment variables
CLERK_ISSUER = os.getenv("CLERK_ISSUER", "https://accounts.yargimcp.com")
BASE_URL = os.getenv("BASE_URL", "https://yargimcp.com")
# Setup logging
logger = logging.getLogger(__name__)
# Configure CORS and Auth middleware
cors_origins = os.getenv("ALLOWED_ORIGINS", "*").split(",")
# Import FastMCP Bearer Auth Provider
from fastmcp.server.auth import BearerAuthProvider
from fastmcp.server.auth.providers.bearer import RSAKeyPair
# Clerk JWT configuration for Bearer token validation
CLERK_SECRET_KEY = os.getenv("CLERK_SECRET_KEY")
CLERK_ISSUER = os.getenv("CLERK_ISSUER", "https://accounts.yargimcp.com")
CLERK_PUBLISHABLE_KEY = os.getenv("CLERK_PUBLISHABLE_KEY")
# Configure Bearer token authentication
bearer_auth = None
if CLERK_SECRET_KEY and CLERK_ISSUER:
# Production: Use Clerk JWKS endpoint for token validation
bearer_auth = BearerAuthProvider(
jwks_uri=f"{CLERK_ISSUER}/.well-known/jwks.json",
issuer=CLERK_ISSUER,
algorithm="RS256",
audience=None, # Disable audience validation - Clerk uses different audience format
required_scopes=[] # Disable scope validation - Clerk JWT has ['read', 'search']
)
logger.info(f"Bearer auth configured with Clerk JWKS: {CLERK_ISSUER}/.well-known/jwks.json")
else:
# Development: Generate RSA key pair for testing
logger.warning("No Clerk credentials found - using development RSA key pair")
dev_key_pair = RSAKeyPair.generate()
bearer_auth = BearerAuthProvider(
public_key=dev_key_pair.public_key,
issuer="https://dev.yargimcp.com",
audience="dev-mcp-server",
required_scopes=["yargi.read"]
)
# Generate a test token for development
dev_token = dev_key_pair.create_token(
subject="dev-user",
issuer="https://dev.yargimcp.com",
audience="dev-mcp-server",
scopes=["yargi.read", "yargi.search"],
expires_in_seconds=3600 * 24 # 24 hours for development
)
logger.info(f"Development Bearer token: {dev_token}")
custom_middleware = [
Middleware(
CORSMiddleware,
allow_origins=cors_origins,
allow_credentials=True,
allow_methods=["GET", "POST", "OPTIONS", "DELETE"],
allow_headers=["Content-Type", "Authorization", "X-Request-ID", "X-Session-ID"],
),
]
# Create MCP app with Bearer authentication
mcp_server = create_app(auth=bearer_auth)
# Add Starlette middleware to FastAPI (not MCP)
# MCP already has Bearer auth, no need for additional middleware on MCP level
# Create MCP Starlette sub-application with root path - mount will add /mcp prefix
mcp_app = mcp_server.http_app(path="/")
# Configure JSON encoder for proper Turkish character support
import json
from fastapi.responses import JSONResponse
class UTF8JSONResponse(JSONResponse):
def __init__(self, content=None, status_code=200, headers=None, **kwargs):
if headers is None:
headers = {}
headers["Content-Type"] = "application/json; charset=utf-8"
super().__init__(content, status_code, headers, **kwargs)
def render(self, content) -> bytes:
return json.dumps(
content,
ensure_ascii=False,
allow_nan=False,
indent=None,
separators=(",", ":"),
).encode("utf-8")
# Create FastAPI wrapper application
app = FastAPI(
title="Yargı MCP Server",
description="MCP server for Turkish legal databases with OAuth authentication",
version="0.1.0",
middleware=custom_middleware,
default_response_class=UTF8JSONResponse # Use UTF-8 JSON encoder
)
# Add Stripe webhook router to FastAPI
app.include_router(stripe_router, prefix="/api")
# Add MCP Auth HTTP adapter to FastAPI (handles OAuth endpoints)
app.include_router(mcp_auth_router)
# Custom 401 exception handler for MCP spec compliance
@app.exception_handler(401)
async def custom_401_handler(request: Request, exc: HTTPException):
"""Custom 401 handler that adds WWW-Authenticate header as required by MCP spec"""
response = await http_exception_handler(request, exc)
# Add WWW-Authenticate header pointing to protected resource metadata
# as required by RFC 9728 Section 5.1 and MCP Authorization spec
response.headers["WWW-Authenticate"] = (
'Bearer '
'error="invalid_token", '
'error_description="The access token is missing or invalid", '
f'resource="{BASE_URL}/.well-known/oauth-protected-resource"'
)
return response
# FastAPI health check endpoint - BEFORE mounting MCP app
@app.get("/health")
async def health_check():
"""Health check endpoint for monitoring"""
return JSONResponse({
"status": "healthy",
"service": "Yargı MCP Server",
"version": "0.1.0",
"tools_count": len(mcp_server._tool_manager._tools),
"auth_enabled": os.getenv("ENABLE_AUTH", "false").lower() == "true"
})
# Add explicit redirect for /mcp to /mcp/ with method preservation
@app.api_route("/mcp", methods=["GET", "POST", "HEAD", "OPTIONS"])
async def redirect_to_slash(request: Request):
"""Redirect /mcp to /mcp/ preserving HTTP method with 308"""
from fastapi.responses import RedirectResponse
return RedirectResponse(url="/mcp/", status_code=308)
# Mount MCP app at /mcp/ with trailing slash
app.mount("/mcp/", mcp_app)
# Set the lifespan context after mounting
app.router.lifespan_context = mcp_app.lifespan
# SSE transport deprecated - removed
# FastAPI root endpoint
@app.get("/")
async def root():
"""Root endpoint with service information"""
return JSONResponse({
"service": "Yargı MCP Server",
"description": "MCP server for Turkish legal databases with OAuth authentication",
"endpoints": {
"mcp": "/mcp",
"health": "/health",
"status": "/status",
"stripe_webhook": "/api/stripe/webhook",
"oauth_login": "/auth/login",
"oauth_callback": "/auth/callback",
"oauth_google": "/auth/google/login",
"user_info": "/auth/user"
},
"transports": {
"http": "/mcp"
},
"supported_databases": [
"Yargıtay (Court of Cassation)",
"Danıştay (Council of State)",
"Emsal (Precedent)",
"Uyuşmazlık Mahkemesi (Court of Jurisdictional Disputes)",
"Anayasa Mahkemesi (Constitutional Court)",
"Kamu İhale Kurulu (Public Procurement Authority)",
"Rekabet Kurumu (Competition Authority)",
"Sayıştay (Court of Accounts)",
"Bedesten API (Multiple courts)"
],
"authentication": {
"enabled": os.getenv("ENABLE_AUTH", "false").lower() == "true",
"type": "OAuth 2.0 via Clerk",
"issuer": os.getenv("CLERK_ISSUER", "https://clerk.accounts.dev"),
"providers": ["google"],
"flow": "authorization_code"
}
})
# OAuth 2.0 Authorization Server Metadata proxy (for MCP clients that can't reach Clerk directly)
# MCP Auth Toolkit expects this to be under /mcp/.well-known/oauth-authorization-server
@app.get("/mcp/.well-known/oauth-authorization-server")
async def oauth_authorization_server():
"""OAuth 2.0 Authorization Server Metadata proxy to Clerk - MCP Auth Toolkit standard location"""
return JSONResponse({
"issuer": BASE_URL,
"authorization_endpoint": "https://yargimcp.com/mcp-callback",
"token_endpoint": f"{BASE_URL}/token",
"jwks_uri": f"{CLERK_ISSUER}/.well-known/jwks.json",
"response_types_supported": ["code"],
"grant_types_supported": ["authorization_code", "refresh_token"],
"token_endpoint_auth_methods_supported": ["client_secret_basic", "none"],
"scopes_supported": ["read", "search", "openid", "profile", "email"],
"subject_types_supported": ["public"],
"id_token_signing_alg_values_supported": ["RS256"],
"claims_supported": ["sub", "iss", "aud", "exp", "iat", "email", "name"],
"code_challenge_methods_supported": ["S256"],
"service_documentation": f"{BASE_URL}/mcp",
"registration_endpoint": f"{BASE_URL}/register",
"resource_documentation": f"{BASE_URL}/mcp"
})
# Claude AI MCP specific endpoint format
@app.get("/.well-known/oauth-authorization-server/mcp")
async def oauth_authorization_server_mcp_suffix():
"""OAuth 2.0 Authorization Server Metadata - Claude AI MCP specific format"""
return JSONResponse({
"issuer": BASE_URL,
"authorization_endpoint": "https://yargimcp.com/mcp-callback",
"token_endpoint": f"{BASE_URL}/token",
"jwks_uri": f"{CLERK_ISSUER}/.well-known/jwks.json",
"response_types_supported": ["code"],
"grant_types_supported": ["authorization_code", "refresh_token"],
"token_endpoint_auth_methods_supported": ["client_secret_basic", "none"],
"scopes_supported": ["read", "search", "openid", "profile", "email"],
"subject_types_supported": ["public"],
"id_token_signing_alg_values_supported": ["RS256"],
"claims_supported": ["sub", "iss", "aud", "exp", "iat", "email", "name"],
"code_challenge_methods_supported": ["S256"],
"service_documentation": f"{BASE_URL}/mcp",
"registration_endpoint": f"{BASE_URL}/register",
"resource_documentation": f"{BASE_URL}/mcp"
})
@app.get("/.well-known/oauth-protected-resource/mcp")
async def oauth_protected_resource_mcp_suffix():
"""OAuth 2.0 Protected Resource Metadata - Claude AI MCP specific format"""
return JSONResponse({
"resource": BASE_URL,
"authorization_servers": [
BASE_URL
],
"scopes_supported": ["read", "search"],
"bearer_methods_supported": ["header"],
"resource_documentation": f"{BASE_URL}/mcp",
"resource_policy_uri": f"{BASE_URL}/privacy"
})
# Keep root level for compatibility with some MCP clients
@app.get("/.well-known/oauth-authorization-server")
async def oauth_authorization_server_root():
"""OAuth 2.0 Authorization Server Metadata proxy to Clerk - root level for compatibility"""
return JSONResponse({
"issuer": BASE_URL,
"authorization_endpoint": "https://yargimcp.com/mcp-callback",
"token_endpoint": f"{BASE_URL}/token",
"jwks_uri": f"{CLERK_ISSUER}/.well-known/jwks.json",
"response_types_supported": ["code"],
"grant_types_supported": ["authorization_code", "refresh_token"],
"token_endpoint_auth_methods_supported": ["client_secret_basic", "none"],
"scopes_supported": ["read", "search", "openid", "profile", "email"],
"subject_types_supported": ["public"],
"id_token_signing_alg_values_supported": ["RS256"],
"claims_supported": ["sub", "iss", "aud", "exp", "iat", "email", "name"],
"code_challenge_methods_supported": ["S256"],
"service_documentation": f"{BASE_URL}/mcp",
"registration_endpoint": f"{BASE_URL}/register",
"resource_documentation": f"{BASE_URL}/mcp"
})
# Note: GET /mcp is handled by the mounted MCP app itself
# This prevents 405 Method Not Allowed errors on POST requests
# OAuth 2.0 Protected Resource Metadata (RFC 9728) - MCP Spec Required
@app.get("/.well-known/oauth-protected-resource")
async def oauth_protected_resource():
"""OAuth 2.0 Protected Resource Metadata as required by MCP spec"""
return JSONResponse({
"resource": BASE_URL,
"authorization_servers": [
BASE_URL
],
"scopes_supported": ["read", "search"],
"bearer_methods_supported": ["header"],
"resource_documentation": f"{BASE_URL}/mcp",
"resource_policy_uri": f"{BASE_URL}/privacy"
})
# Standard well-known discovery endpoint
@app.get("/.well-known/mcp")
async def well_known_mcp():
"""Standard MCP discovery endpoint"""
return JSONResponse({
"mcp_server": {
"name": "Yargı MCP Server",
"version": "0.1.0",
"endpoint": f"{BASE_URL}/mcp",
"authentication": {
"type": "oauth2",
"authorization_url": f"{BASE_URL}/auth/login",
"scopes": ["read", "search"]
},
"capabilities": ["tools", "resources"],
"tools_count": len(mcp_server._tool_manager._tools)
}
})
# MCP Discovery endpoint for ChatGPT integration
@app.get("/mcp/discovery")
async def mcp_discovery():
"""MCP Discovery endpoint for ChatGPT and other MCP clients"""
return JSONResponse({
"name": "Yargı MCP Server",
"description": "MCP server for Turkish legal databases",
"version": "0.1.0",
"protocol": "mcp",
"transport": "http",
"endpoint": "/mcp",
"authentication": {
"type": "oauth2",
"authorization_url": "/auth/login",
"token_url": "/auth/callback",
"scopes": ["read", "search"],
"provider": "clerk"
},
"capabilities": {
"tools": True,
"resources": True,
"prompts": False
},
"tools_count": len(mcp_server._tool_manager._tools),
"contact": {
"url": BASE_URL,
"email": "support@yargi-mcp.dev"
}
})
# FastAPI status endpoint
@app.get("/status")
async def status():
"""Status endpoint with detailed information"""
tools = []
for tool in mcp_server._tool_manager._tools.values():
tools.append({
"name": tool.name,
"description": tool.description[:100] + "..." if len(tool.description) > 100 else tool.description
})
return JSONResponse({
"status": "operational",
"tools": tools,
"total_tools": len(tools),
"transport": "streamable_http",
"architecture": "FastAPI wrapper + MCP Starlette sub-app",
"auth_status": "enabled" if os.getenv("ENABLE_AUTH", "false").lower() == "true" else "disabled"
})
# Note: JWT token validation is now handled entirely by Clerk
# All authentication flows use Clerk JWT tokens directly
async def validate_clerk_session(request: Request, clerk_token: str = None) -> str:
"""Validate Clerk session from cookies or JWT token and return user_id"""
logger.info(f"Validating Clerk session - token provided: {bool(clerk_token)}")
try:
# Try to import Clerk SDK
from clerk_backend_api import Clerk
clerk = Clerk(bearer_auth=os.getenv("CLERK_SECRET_KEY"))
# Try JWT token first (from URL parameter)
if clerk_token:
logger.info("Validating Clerk JWT token from URL parameter")
try:
# Extract session_id from JWT token and verify with Clerk
import jwt
decoded_token = jwt.decode(clerk_token, options={"verify_signature": False})
session_id = decoded_token.get("sid") # Use standard JWT 'sid' claim
if session_id:
# Verify with Clerk using session_id
session = clerk.sessions.verify(session_id=session_id, token=clerk_token)
user_id = session.user_id if session else None
if user_id:
logger.info(f"JWT token validation successful - user_id: {user_id}")
return user_id
else:
logger.error("JWT token validation failed - no user_id in session")
else:
logger.error("No session_id found in JWT token")
except Exception as e:
logger.error(f"JWT token validation failed: {str(e)}")
# Fall through to cookie validation
# Fallback to cookie validation
logger.info("Attempting cookie-based session validation")
clerk_session = request.cookies.get("__session")
if not clerk_session:
logger.error("No Clerk session cookie found")
raise HTTPException(status_code=401, detail="No Clerk session found")
# Validate session with Clerk
session = clerk.sessions.verify_session(clerk_session)
logger.info(f"Cookie session validation successful - user_id: {session.user_id}")
return session.user_id
except ImportError:
# Fallback for development without Clerk SDK
logger.warning("Clerk SDK not available - using development fallback")
return "dev_user_123"
except Exception as e:
logger.error(f"Session validation failed: {str(e)}")
raise HTTPException(status_code=401, detail=f"Session validation failed: {str(e)}")
# MCP OAuth Callback Endpoint
@app.get("/auth/mcp-callback")
async def mcp_oauth_callback(request: Request, clerk_token: str = Query(None)):
"""Handle OAuth callback for MCP token generation"""
logger.info(f"MCP OAuth callback - clerk_token provided: {bool(clerk_token)}")
try:
# Validate Clerk session with JWT token support
user_id = await validate_clerk_session(request, clerk_token)
logger.info(f"User authenticated successfully - user_id: {user_id}")
# Use the Clerk JWT token directly (no need to generate custom token)
logger.info("User authenticated successfully via Clerk")
# Return success response
return HTMLResponse(f"""
<html>
<head>
<title>MCP Connection Successful</title>
<style>
body {{ font-family: Arial, sans-serif; text-align: center; padding: 50px; }}
.success {{ color: #28a745; }}
.token {{ background: #f8f9fa; padding: 15px; border-radius: 5px; margin: 20px 0; word-break: break-all; }}
</style>
</head>
<body>
<h1 class="success"> MCP Connection Successful!</h1>
<p>Your Yargı MCP integration is now active.</p>
<div class="token">
<strong>Authentication:</strong><br>
<code>Use your Clerk JWT token directly with Bearer authentication</code>
</div>
<p>You can now close this window and return to your MCP client.</p>
<script>
// Try to close the popup if opened as such
if (window.opener) {{
window.opener.postMessage({{
type: 'MCP_AUTH_SUCCESS',
token: 'use_clerk_jwt_token'
}}, '*');
setTimeout(() => window.close(), 3000);
}}
</script>
</body>
</html>
""")
except HTTPException as e:
logger.error(f"MCP OAuth callback failed: {e.detail}")
return HTMLResponse(f"""
<html>
<head>
<title>MCP Connection Failed</title>
<style>
body {{ font-family: Arial, sans-serif; text-align: center; padding: 50px; }}
.error {{ color: #dc3545; }}
.debug {{ background: #f8f9fa; padding: 10px; margin: 20px 0; border-radius: 5px; font-family: monospace; }}
</style>
</head>
<body>
<h1 class="error"> MCP Connection Failed</h1>
<p>{e.detail}</p>
<div class="debug">
<strong>Debug Info:</strong><br>
Clerk Token: {'✅ Provided' if clerk_token else '❌ Missing'}<br>
Error: {e.detail}<br>
Status: {e.status_code}
</div>
<p>Please try again or contact support.</p>
<a href="https://yargimcp.com/sign-in">Return to Sign In</a>
</body>
</html>
""", status_code=e.status_code)
except Exception as e:
logger.error(f"Unexpected error in MCP OAuth callback: {str(e)}")
return HTMLResponse(f"""
<html>
<head>
<title>MCP Connection Error</title>
<style>
body {{ font-family: Arial, sans-serif; text-align: center; padding: 50px; }}
.error {{ color: #dc3545; }}
</style>
</head>
<body>
<h1 class="error"> Unexpected Error</h1>
<p>An unexpected error occurred during authentication.</p>
<p>Error: {str(e)}</p>
<a href="https://yargimcp.com/sign-in">Return to Sign In</a>
</body>
</html>
""", status_code=500)
# OAuth2 Token Endpoint - Now uses Clerk JWT tokens directly
@app.post("/auth/mcp-token")
async def mcp_token_endpoint(request: Request):
"""OAuth2 token endpoint for MCP clients - returns Clerk JWT token info"""
try:
# Validate Clerk session
user_id = await validate_clerk_session(request)
return JSONResponse({
"message": "Use your Clerk JWT token directly with Bearer authentication",
"token_type": "Bearer",
"scope": "yargi.read",
"user_id": user_id,
"instructions": "Include 'Authorization: Bearer YOUR_CLERK_JWT_TOKEN' in your requests"
})
except HTTPException as e:
return JSONResponse(
status_code=e.status_code,
content={"error": "invalid_request", "error_description": e.detail}
)
# Note: Only HTTP transport supported - SSE transport deprecated
# Export for uvicorn
__all__ = ["app"]
@@ -1,17 +0,0 @@
# bddk_mcp_module/__init__.py
from .client import BddkApiClient
from .models import (
BddkSearchRequest,
BddkDecisionSummary,
BddkSearchResult,
BddkDocumentMarkdown
)
__all__ = [
"BddkApiClient",
"BddkSearchRequest",
"BddkDecisionSummary",
"BddkSearchResult",
"BddkDocumentMarkdown"
]
@@ -1,247 +0,0 @@
# bddk_mcp_module/client.py
import httpx
from typing import List, Optional, Dict, Any
import logging
import os
import re
import io
import math
from urllib.parse import urlparse
from markitdown import MarkItDown
from .models import (
BddkSearchRequest,
BddkDecisionSummary,
BddkSearchResult,
BddkDocumentMarkdown
)
logger = logging.getLogger(__name__)
if not logger.hasHandlers():
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
class BddkApiClient:
"""
API client for searching and retrieving BDDK (Banking Regulation Authority) decisions
using Tavily Search API for discovery and direct HTTP requests for content retrieval.
"""
TAVILY_API_URL = "https://api.tavily.com/search"
BDDK_BASE_URL = "https://www.bddk.org.tr"
DOCUMENT_URL_TEMPLATE = "https://www.bddk.org.tr/Mevzuat/DokumanGetir/{document_id}"
DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000 # Character limit per page
def __init__(self, request_timeout: float = 60.0):
"""Initialize the BDDK API client."""
self.tavily_api_key = os.getenv("TAVILY_API_KEY")
if not self.tavily_api_key:
# Fallback to development token
self.tavily_api_key = "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"
logger.info("Using fallback Tavily API token (development token)")
else:
logger.info("Using Tavily API key from environment variable")
self.http_client = httpx.AsyncClient(
headers={
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36"
},
timeout=httpx.Timeout(request_timeout)
)
self.markitdown = MarkItDown()
async def close_client_session(self):
"""Close the HTTP client session."""
await self.http_client.aclose()
logger.info("BddkApiClient: HTTP client session closed.")
def _extract_document_id(self, url: str) -> Optional[str]:
"""Extract document ID from BDDK URL."""
# Primary pattern: https://www.bddk.org.tr/Mevzuat/DokumanGetir/310
match = re.search(r'/DokumanGetir/(\d+)', url)
if match:
return match.group(1)
# Alternative patterns for different BDDK URL formats
# Pattern: /Liste/55 -> use as document ID
match = re.search(r'/Liste/(\d+)', url)
if match:
return match.group(1)
# Pattern: /EkGetir/13?ekId=381 -> use ekId as document ID
match = re.search(r'ekId=(\d+)', url)
if match:
return match.group(1)
return None
async def search_decisions(
self,
request: BddkSearchRequest
) -> BddkSearchResult:
"""
Search for BDDK decisions using Tavily API.
Args:
request: Search request parameters
Returns:
BddkSearchResult with matching decisions
"""
try:
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {self.tavily_api_key}"
}
# Tavily API request - enhanced for BDDK decision documents
query = f"{request.keywords} \"Karar Sayısı\""
payload = {
"query": query,
"country": "turkey",
"include_domains": ["https://www.bddk.org.tr/Mevzuat/DokumanGetir"],
"max_results": request.pageSize,
"search_depth": "advanced"
}
# Calculate offset for pagination
if request.page > 1:
# Tavily doesn't have direct pagination, so we'll need to handle this
# For now, we'll just return empty for pages > 1
logger.warning(f"Tavily API doesn't support pagination. Page {request.page} requested.")
response = await self.http_client.post(
self.TAVILY_API_URL,
json=payload,
headers=headers
)
response.raise_for_status()
data = response.json()
# Log raw Tavily response for debugging
logger.info(f"Tavily returned {len(data.get('results', []))} results")
# Convert Tavily results to our format
decisions = []
for result in data.get("results", []):
# Extract document ID from URL
url = result.get("url", "")
logger.debug(f"Processing URL: {url}")
doc_id = self._extract_document_id(url)
if doc_id:
decision = BddkDecisionSummary(
title=result.get("title", "").replace("[PDF] ", "").strip(),
document_id=doc_id,
content=result.get("content", "")[:500] # Limit content length
)
decisions.append(decision)
logger.debug(f"Added decision: {decision.title} (ID: {doc_id})")
else:
logger.warning(f"Could not extract document ID from URL: {url}")
return BddkSearchResult(
decisions=decisions,
total_results=len(data.get("results", [])),
page=request.page,
pageSize=request.pageSize
)
except httpx.HTTPStatusError as e:
logger.error(f"HTTP error searching BDDK decisions: {e}")
if e.response.status_code == 401:
raise Exception("Tavily API authentication failed. Check API key.")
raise Exception(f"Failed to search BDDK decisions: {str(e)}")
except Exception as e:
logger.error(f"Error searching BDDK decisions: {e}")
raise Exception(f"Failed to search BDDK decisions: {str(e)}")
async def get_document_markdown(
self,
document_id: str,
page_number: int = 1
) -> BddkDocumentMarkdown:
"""
Retrieve a BDDK document and convert it to Markdown format.
Args:
document_id: BDDK document ID (e.g., '310')
page_number: Page number for paginated content (1-indexed)
Returns:
BddkDocumentMarkdown with paginated content
"""
try:
# Try different URL patterns for BDDK documents
potential_urls = [
f"https://www.bddk.org.tr/Mevzuat/DokumanGetir/{document_id}",
f"https://www.bddk.org.tr/Mevzuat/Liste/{document_id}",
f"https://www.bddk.org.tr/KurumHakkinda/EkGetir/13?ekId={document_id}",
f"https://www.bddk.org.tr/KurumHakkinda/EkGetir/5?ekId={document_id}"
]
document_url = None
response = None
# Try each URL pattern until one works
for url in potential_urls:
try:
logger.info(f"Trying BDDK document URL: {url}")
response = await self.http_client.get(
url,
follow_redirects=True
)
response.raise_for_status()
document_url = url
break
except httpx.HTTPStatusError:
continue
if not response or not document_url:
raise Exception(f"Could not find document with ID {document_id}")
logger.info(f"Successfully fetched BDDK document from: {document_url}")
# Determine content type
content_type = response.headers.get("content-type", "").lower()
# Convert to Markdown based on content type
if "pdf" in content_type:
# Handle PDF documents
pdf_stream = io.BytesIO(response.content)
result = self.markitdown.convert_stream(pdf_stream, file_extension=".pdf")
markdown_content = result.text_content
else:
# Handle HTML documents
html_stream = io.BytesIO(response.content)
result = self.markitdown.convert_stream(html_stream, file_extension=".html")
markdown_content = result.text_content
# Clean up the markdown content
markdown_content = markdown_content.strip()
# Calculate pagination
total_length = len(markdown_content)
total_pages = math.ceil(total_length / self.DOCUMENT_MARKDOWN_CHUNK_SIZE)
# Extract the requested page
start_idx = (page_number - 1) * self.DOCUMENT_MARKDOWN_CHUNK_SIZE
end_idx = start_idx + self.DOCUMENT_MARKDOWN_CHUNK_SIZE
page_content = markdown_content[start_idx:end_idx]
return BddkDocumentMarkdown(
document_id=document_id,
markdown_content=page_content,
page_number=page_number,
total_pages=total_pages
)
except httpx.HTTPStatusError as e:
logger.error(f"HTTP error fetching BDDK document {document_id}: {e}")
raise Exception(f"Failed to fetch BDDK document: {str(e)}")
except Exception as e:
logger.error(f"Error processing BDDK document {document_id}: {e}")
raise Exception(f"Failed to process BDDK document: {str(e)}")
@@ -1,43 +0,0 @@
# bddk_mcp_module/models.py
from pydantic import BaseModel, Field
from typing import List, Optional
class BddkSearchRequest(BaseModel):
"""
Request model for searching BDDK decisions via Tavily API.
BDDK (Bankacılık Düzenleme ve Denetleme Kurumu) is Turkey's Banking
Regulation and Supervision Agency responsible for banking licenses,
electronic money institutions, and financial regulations.
"""
keywords: str = Field(..., description="Search keywords in Turkish")
page: int = Field(1, ge=1, description="Page number (1-indexed)")
pageSize: int = Field(10, ge=1, le=50, description="Results per page (1-50)")
class BddkDecisionSummary(BaseModel):
"""Summary of a BDDK decision from search results."""
title: str = Field(..., description="Decision title")
document_id: str = Field(..., description="BDDK document ID (e.g., '310')")
content: str = Field(..., description="Decision summary/excerpt")
class BddkSearchResult(BaseModel):
"""Response model for BDDK decision search results."""
decisions: List[BddkDecisionSummary] = Field(
default_factory=list,
description="List of matching BDDK decisions"
)
total_results: int = Field(0, description="Total number of results")
page: int = Field(1, description="Current page number")
pageSize: int = Field(10, description="Results per page")
class BddkDocumentMarkdown(BaseModel):
"""
BDDK decision document converted to Markdown format.
Supports paginated content for long documents (5000 chars per page).
"""
document_id: str = Field(..., description="BDDK document ID")
markdown_content: str = Field("", description="Document content in Markdown")
page_number: int = Field(1, description="Current page number")
total_pages: int = Field(1, description="Total number of pages")
@@ -1 +0,0 @@
# bedesten_mcp_module/__init__.py
@@ -1,181 +0,0 @@
# bedesten_mcp_module/client.py
import httpx
import base64
from typing import Optional
import logging
from markitdown import MarkItDown
import io
from .models import (
BedestenSearchRequest, BedestenSearchResponse,
BedestenDocumentRequest, BedestenDocumentResponse,
BedestenDocumentMarkdown, BedestenDocumentRequestData
)
from .enums import get_full_birim_adi
logger = logging.getLogger(__name__)
class BedestenApiClient:
"""
API Client for Bedesten (bedesten.adalet.gov.tr) - Alternative legal decision search system.
Currently used for Yargıtay decisions, but can be extended for other court types.
"""
BASE_URL = "https://bedesten.adalet.gov.tr"
SEARCH_ENDPOINT = "/emsal-karar/searchDocuments"
DOCUMENT_ENDPOINT = "/emsal-karar/getDocumentContent"
def __init__(self, request_timeout: float = 60.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
headers={
"Accept": "*/*",
"Accept-Language": "tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7",
"AdaletApplicationName": "UyapMevzuat",
"Content-Type": "application/json; charset=utf-8",
"Origin": "https://mevzuat.adalet.gov.tr",
"Referer": "https://mevzuat.adalet.gov.tr/",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-site",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36"
},
timeout=request_timeout
)
async def search_documents(self, search_request: BedestenSearchRequest) -> BedestenSearchResponse:
"""
Search for documents using Bedesten API.
Currently supports: YARGITAYKARARI, DANISTAYKARARI, YERELHUKMAHKARARI, etc.
"""
logger.info(f"BedestenApiClient: Searching documents with phrase: {search_request.data.phrase}")
# Map abbreviated birimAdi to full Turkish name before sending to API
original_birim_adi = search_request.data.birimAdi
mapped_birim_adi = get_full_birim_adi(original_birim_adi)
search_request.data.birimAdi = mapped_birim_adi
if original_birim_adi != "ALL":
logger.info(f"BedestenApiClient: Mapped birimAdi '{original_birim_adi}' to '{mapped_birim_adi}'")
try:
# Create request dict and remove birimAdi if empty
request_dict = search_request.model_dump()
if not request_dict["data"]["birimAdi"]: # Remove if empty string
del request_dict["data"]["birimAdi"]
response = await self.http_client.post(
self.SEARCH_ENDPOINT,
json=request_dict
)
response.raise_for_status()
response_json = response.json()
# Parse and return the response
return BedestenSearchResponse(**response_json)
except httpx.RequestError as e:
logger.error(f"BedestenApiClient: HTTP request error during search: {e}")
raise
except Exception as e:
logger.error(f"BedestenApiClient: Error processing search response: {e}")
raise
async def get_document_as_markdown(self, document_id: str) -> BedestenDocumentMarkdown:
"""
Get document content and convert to markdown.
Handles both HTML (text/html) and PDF (application/pdf) content types.
"""
logger.info(f"BedestenApiClient: Fetching document for markdown conversion (ID: {document_id})")
try:
# Prepare request
doc_request = BedestenDocumentRequest(
data=BedestenDocumentRequestData(documentId=document_id)
)
# Get document
response = await self.http_client.post(
self.DOCUMENT_ENDPOINT,
json=doc_request.model_dump()
)
response.raise_for_status()
response_json = response.json()
doc_response = BedestenDocumentResponse(**response_json)
# Decode base64 content
content_bytes = base64.b64decode(doc_response.data.content)
mime_type = doc_response.data.mimeType
logger.info(f"BedestenApiClient: Document mime type: {mime_type}")
# Convert to markdown based on mime type
if mime_type == "text/html":
html_content = content_bytes.decode('utf-8')
markdown_content = self._convert_html_to_markdown(html_content)
elif mime_type == "application/pdf":
markdown_content = self._convert_pdf_to_markdown(content_bytes)
else:
logger.warning(f"Unsupported mime type: {mime_type}")
markdown_content = f"Unsupported content type: {mime_type}. Unable to convert to markdown."
return BedestenDocumentMarkdown(
documentId=document_id,
markdown_content=markdown_content,
source_url=f"{self.BASE_URL}/document/{document_id}",
mime_type=mime_type
)
except httpx.RequestError as e:
logger.error(f"BedestenApiClient: HTTP error fetching document {document_id}: {e}")
raise
except Exception as e:
logger.error(f"BedestenApiClient: Error processing document {document_id}: {e}")
raise
def _convert_html_to_markdown(self, html_content: str) -> Optional[str]:
"""Convert HTML to Markdown using MarkItDown"""
if not html_content:
return None
try:
# Convert HTML string to bytes and create BytesIO stream
html_bytes = html_content.encode('utf-8')
html_stream = io.BytesIO(html_bytes)
# Pass BytesIO stream to MarkItDown to avoid temp file creation
md_converter = MarkItDown()
result = md_converter.convert(html_stream)
markdown_content = result.text_content
logger.info("Successfully converted HTML to Markdown")
return markdown_content
except Exception as e:
logger.error(f"Error converting HTML to Markdown: {e}")
return f"Error converting HTML content: {str(e)}"
def _convert_pdf_to_markdown(self, pdf_bytes: bytes) -> Optional[str]:
"""Convert PDF to Markdown using MarkItDown"""
if not pdf_bytes:
return None
try:
# Create BytesIO stream from PDF bytes
pdf_stream = io.BytesIO(pdf_bytes)
# Pass BytesIO stream to MarkItDown to avoid temp file creation
md_converter = MarkItDown()
result = md_converter.convert(pdf_stream)
markdown_content = result.text_content
logger.info("Successfully converted PDF to Markdown")
return markdown_content
except Exception as e:
logger.error(f"Error converting PDF to Markdown: {e}")
return f"Error converting PDF content: {str(e)}. The document may be corrupted or in an unsupported format."
async def close_client_session(self):
"""Close HTTP client session"""
await self.http_client.aclose()
logger.info("BedestenApiClient: HTTP client session closed.")
@@ -1,113 +0,0 @@
# bedesten_mcp_module/enums.py
from typing import Literal
# Unified compressed enum for both Yargıtay and Danıştay chambers
BirimAdiEnum = Literal[
"ALL", # All chambers
# Yargıtay (Court of Cassation) - Civil Chambers
"H1", "H2", "H3", "H4", "H5", "H6", "H7", "H8", "H9", "H10",
"H11", "H12", "H13", "H14", "H15", "H16", "H17", "H18", "H19", "H20",
"H21", "H22", "H23",
# Yargıtay - Criminal Chambers
"C1", "C2", "C3", "C4", "C5", "C6", "C7", "C8", "C9", "C10",
"C11", "C12", "C13", "C14", "C15", "C16", "C17", "C18", "C19", "C20",
"C21", "C22", "C23",
# Yargıtay - Councils and Assemblies
"HGK", # Hukuk Genel Kurulu
"CGK", # Ceza Genel Kurulu
"BGK", # Büyük Genel Kurulu
"HBK", # Hukuk Daireleri Başkanlar Kurulu
"CBK", # Ceza Daireleri Başkanlar Kurulu
# Danıştay (Council of State) - Chambers
"D1", "D2", "D3", "D4", "D5", "D6", "D7", "D8", "D9", "D10",
"D11", "D12", "D13", "D14", "D15", "D16", "D17",
# Danıştay - Councils and Boards
"DBGK", # Büyük Gen.Kur. (Grand General Assembly)
"IDDK", # İdare Dava Daireleri Kurulu
"VDDK", # Vergi Dava Daireleri Kurulu
"IBK", # İçtihatları Birleştirme Kurulu
"IIK", # İdari İşler Kurulu
"DBK", # Başkanlar Kurulu
# Military High Administrative Court
"AYIM", # Askeri Yüksek İdare Mahkemesi
"AYIMDK", # Askeri Yüksek İdare Mahkemesi Daireler Kurulu
"AYIMB", # Askeri Yüksek İdare Mahkemesi Başsavcılığı
"AYIM1", # Askeri Yüksek İdare Mahkemesi 1. Daire
"AYIM2", # Askeri Yüksek İdare Mahkemesi 2. Daire
"AYIM3" # Askeri Yüksek İdare Mahkemesi 3. Daire
]
# Mapping from abbreviated values to full Turkish API values
BIRIM_ADI_MAPPING = {
"ALL": None, # Will be handled specially in client
# Yargıtay Civil Chambers (1-23)
"H1": "1. Hukuk Dairesi", "H2": "2. Hukuk Dairesi", "H3": "3. Hukuk Dairesi",
"H4": "4. Hukuk Dairesi", "H5": "5. Hukuk Dairesi", "H6": "6. Hukuk Dairesi",
"H7": "7. Hukuk Dairesi", "H8": "8. Hukuk Dairesi", "H9": "9. Hukuk Dairesi",
"H10": "10. Hukuk Dairesi", "H11": "11. Hukuk Dairesi", "H12": "12. Hukuk Dairesi",
"H13": "13. Hukuk Dairesi", "H14": "14. Hukuk Dairesi", "H15": "15. Hukuk Dairesi",
"H16": "16. Hukuk Dairesi", "H17": "17. Hukuk Dairesi", "H18": "18. Hukuk Dairesi",
"H19": "19. Hukuk Dairesi", "H20": "20. Hukuk Dairesi", "H21": "21. Hukuk Dairesi",
"H22": "22. Hukuk Dairesi", "H23": "23. Hukuk Dairesi",
# Yargıtay Criminal Chambers (1-23)
"C1": "1. Ceza Dairesi", "C2": "2. Ceza Dairesi", "C3": "3. Ceza Dairesi",
"C4": "4. Ceza Dairesi", "C5": "5. Ceza Dairesi", "C6": "6. Ceza Dairesi",
"C7": "7. Ceza Dairesi", "C8": "8. Ceza Dairesi", "C9": "9. Ceza Dairesi",
"C10": "10. Ceza Dairesi", "C11": "11. Ceza Dairesi", "C12": "12. Ceza Dairesi",
"C13": "13. Ceza Dairesi", "C14": "14. Ceza Dairesi", "C15": "15. Ceza Dairesi",
"C16": "16. Ceza Dairesi", "C17": "17. Ceza Dairesi", "C18": "18. Ceza Dairesi",
"C19": "19. Ceza Dairesi", "C20": "20. Ceza Dairesi", "C21": "21. Ceza Dairesi",
"C22": "22. Ceza Dairesi", "C23": "23. Ceza Dairesi",
# Yargıtay Councils and Assemblies
"HGK": "Hukuk Genel Kurulu",
"CGK": "Ceza Genel Kurulu",
"BGK": "Büyük Genel Kurulu",
"HBK": "Hukuk Daireleri Başkanlar Kurulu",
"CBK": "Ceza Daireleri Başkanlar Kurulu",
# Danıştay Chambers (1-17)
"D1": "1. Daire", "D2": "2. Daire", "D3": "3. Daire", "D4": "4. Daire",
"D5": "5. Daire", "D6": "6. Daire", "D7": "7. Daire", "D8": "8. Daire",
"D9": "9. Daire", "D10": "10. Daire", "D11": "11. Daire", "D12": "12. Daire",
"D13": "13. Daire", "D14": "14. Daire", "D15": "15. Daire", "D16": "16. Daire",
"D17": "17. Daire",
# Danıştay Councils and Boards
"DBGK": "Büyük Gen.Kur.",
"IDDK": "İdare Dava Daireleri Kurulu",
"VDDK": "Vergi Dava Daireleri Kurulu",
"IBK": "İçtihatları Birleştirme Kurulu",
"IIK": "İdari İşler Kurulu",
"DBK": "Başkanlar Kurulu",
# Military High Administrative Court
"AYIM": "Askeri Yüksek İdare Mahkemesi",
"AYIMDK": "Askeri Yüksek İdare Mahkemesi Daireler Kurulu",
"AYIMB": "Askeri Yüksek İdare Mahkemesi Başsavcılığı",
"AYIM1": "Askeri Yüksek İdare Mahkemesi 1. Daire",
"AYIM2": "Askeri Yüksek İdare Mahkemesi 2. Daire",
"AYIM3": "Askeri Yüksek İdare Mahkemesi 3. Daire"
}
# Helper function to get full Turkish name from abbreviated value
def get_full_birim_adi(abbreviated_value: str) -> str:
"""Convert abbreviated birimAdi value to full Turkish name for API calls."""
if abbreviated_value == "ALL" or not abbreviated_value:
return "" # Empty string for ALL or None
return BIRIM_ADI_MAPPING.get(abbreviated_value, abbreviated_value)
# Helper function to validate abbreviated value
def is_valid_birim_adi(abbreviated_value: str) -> bool:
"""Check if abbreviated birimAdi value is valid."""
return abbreviated_value in BIRIM_ADI_MAPPING
@@ -1,91 +0,0 @@
# bedesten_mcp_module/models.py
from pydantic import BaseModel, Field
from typing import List, Optional, Dict, Any, Literal, Union
from datetime import datetime
# Import compressed BirimAdiEnum for chamber filtering
from .enums import BirimAdiEnum
# Court Type Options for Unified Search
BedestenCourtTypeEnum = Literal[
"YARGITAYKARARI", # Yargıtay (Court of Cassation)
"DANISTAYKARAR", # Danıştay (Council of State)
"YERELHUKUK", # Local Civil Courts
"ISTINAFHUKUK", # Civil Courts of Appeals
"KYB" # Extraordinary Appeals (Kanun Yararına Bozma)
]
# Search Request Models
class BedestenSearchData(BaseModel):
pageSize: int = Field(..., description="Results per page (1-10)")
pageNumber: int = Field(..., description="Page number (1-indexed)")
itemTypeList: List[str] = Field(..., description="Court type filter (YARGITAYKARARI/DANISTAYKARAR/YERELHUKUK/ISTINAFHUKUK/KYB)")
phrase: str = Field(..., description="Search phrase. Supports: 'word', \"exact phrase\", +required, -exclude, AND/OR/NOT operators. No wildcards or regex.")
birimAdi: BirimAdiEnum = Field("ALL", description="""
Chamber filter (optional). Abbreviated values with Turkish names:
Yargıtay: H1-H23 (1-23. Hukuk Dairesi), C1-C23 (1-23. Ceza Dairesi), HGK (Hukuk Genel Kurulu), CGK (Ceza Genel Kurulu), BGK (Büyük Genel Kurulu), HBK (Hukuk Daireleri Başkanlar Kurulu), CBK (Ceza Daireleri Başkanlar Kurulu)
Danıştay: D1-D17 (1-17. Daire), DBGK (Büyük Gen.Kur.), IDDK (İdare Dava Daireleri Kurulu), VDDK (Vergi Dava Daireleri Kurulu), IBK (İçtihatları Birleştirme Kurulu), IIK (İdari İşler Kurulu), DBK (Başkanlar Kurulu), AYIM (Askeri Yüksek İdare Mahkemesi), AYIM1-3 (Askeri Yüksek İdare Mahkemesi 1-3. Daire)
""")
kararTarihiStart: Optional[str] = Field(None, description="Start date (ISO 8601 format)")
kararTarihiEnd: Optional[str] = Field(None, description="End date (ISO 8601 format)")
sortFields: List[str] = Field(default=["KARAR_TARIHI"], description="Sort fields")
sortDirection: str = Field(default="desc", description="Sort direction (asc/desc)")
class BedestenSearchRequest(BaseModel):
data: BedestenSearchData
applicationName: str = "UyapMevzuat"
paging: bool = True
# Search Response Models
class BedestenItemType(BaseModel):
name: str
description: str
class BedestenDecisionEntry(BaseModel):
documentId: str
itemType: BedestenItemType
birimId: Optional[str] = None
birimAdi: Optional[str]
esasNoYil: Optional[int] = None
esasNoSira: Optional[int] = None
kararNoYil: Optional[int] = None
kararNoSira: Optional[int] = None
kararTuru: Optional[str] = None
kararTarihi: str
kararTarihiStr: str
kesinlesmeDurumu: Optional[str] = None
kararNo: Optional[str] = None
esasNo: Optional[str] = None
class BedestenSearchDataResponse(BaseModel):
emsalKararList: List[BedestenDecisionEntry]
total: int
start: int
class BedestenSearchResponse(BaseModel):
data: Optional[BedestenSearchDataResponse]
metadata: Dict[str, Any]
# Document Request/Response Models
class BedestenDocumentRequestData(BaseModel):
documentId: str
class BedestenDocumentRequest(BaseModel):
data: BedestenDocumentRequestData
applicationName: str = "UyapMevzuat"
class BedestenDocumentData(BaseModel):
content: str # Base64 encoded HTML or PDF
mimeType: str
version: int
class BedestenDocumentResponse(BaseModel):
data: BedestenDocumentData
metadata: Dict[str, Any]
class BedestenDocumentMarkdown(BaseModel):
documentId: str = Field(..., description="The document ID (Belge Kimliği) from Bedesten")
markdown_content: Optional[str] = Field(None, description="The decision content (Karar İçeriği) converted to Markdown")
source_url: str = Field(..., description="The source URL (Kaynak URL) of the document")
mime_type: Optional[str] = Field(None, description="Original content type (İçerik Türü) (text/html or application/pdf)")
@@ -1,21 +0,0 @@
#!/usr/bin/env python3
from fastmcp import Client
from mcp_server_main import app
import json
import asyncio
async def check_response_format():
client = Client(app)
async with client:
result = await client.call_tool('search_bedesten_unified', {
'phrase': 'mülkiyet',
'court_types': ['YARGITAYKARARI'],
'birimAdi': 'H1',
'pageSize': 3
})
if result and result.content:
data = json.loads(result.content[0].text)
print('Response keys:', list(data.keys()))
print('Sample response:', json.dumps(data, indent=2, ensure_ascii=False)[:500])
asyncio.run(check_response_format())
@@ -1,192 +0,0 @@
# danistay_mcp_module/client.py
import httpx
from bs4 import BeautifulSoup
from typing import Dict, Any, List, Optional
import logging
import html
import re
import io
from markitdown import MarkItDown
from .models import (
DanistayKeywordSearchRequest,
DanistayDetailedSearchRequest,
DanistayApiResponse,
DanistayDocumentMarkdown,
DanistayKeywordSearchRequestData,
DanistayDetailedSearchRequestData
)
logger = logging.getLogger(__name__)
if not logger.hasHandlers():
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
class DanistayApiClient:
BASE_URL = "https://karararama.danistay.gov.tr"
KEYWORD_SEARCH_ENDPOINT = "/aramalist"
DETAILED_SEARCH_ENDPOINT = "/aramadetaylist"
DOCUMENT_ENDPOINT = "/getDokuman"
def __init__(self, request_timeout: float = 30.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
headers={
"Content-Type": "application/json; charset=UTF-8", # Arama endpoint'leri için
"Accept": "application/json, text/plain, */*", # Arama endpoint'leri için
"X-Requested-With": "XMLHttpRequest",
},
timeout=request_timeout,
verify=False
)
def _prepare_keywords_for_api(self, keywords: List[str]) -> List[str]:
return ['"' + k.strip('"') + '"' for k in keywords if k and k.strip()]
async def search_keyword_decisions(
self,
params: DanistayKeywordSearchRequest
) -> DanistayApiResponse:
data_for_payload = DanistayKeywordSearchRequestData(
andKelimeler=self._prepare_keywords_for_api(params.andKelimeler),
orKelimeler=self._prepare_keywords_for_api(params.orKelimeler),
notAndKelimeler=self._prepare_keywords_for_api(params.notAndKelimeler),
notOrKelimeler=self._prepare_keywords_for_api(params.notOrKelimeler),
pageSize=params.pageSize,
pageNumber=params.pageNumber
)
final_payload = {"data": data_for_payload.model_dump(exclude_none=True)}
logger.info(f"DanistayApiClient: Performing KEYWORD search via {self.KEYWORD_SEARCH_ENDPOINT} with payload: {final_payload}")
return await self._execute_api_search(self.KEYWORD_SEARCH_ENDPOINT, final_payload)
async def search_detailed_decisions(
self,
params: DanistayDetailedSearchRequest
) -> DanistayApiResponse:
data_for_payload = DanistayDetailedSearchRequestData(
daire=params.daire or "",
esasYil=params.esasYil or "",
esasIlkSiraNo=params.esasIlkSiraNo or "",
esasSonSiraNo=params.esasSonSiraNo or "",
kararYil=params.kararYil or "",
kararIlkSiraNo=params.kararIlkSiraNo or "",
kararSonSiraNo=params.kararSonSiraNo or "",
baslangicTarihi=params.baslangicTarihi or "",
bitisTarihi=params.bitisTarihi or "",
mevzuatNumarasi=params.mevzuatNumarasi or "",
mevzuatAdi=params.mevzuatAdi or "",
madde=params.madde or "",
siralama="1",
siralamaDirection="desc",
pageSize=params.pageSize,
pageNumber=params.pageNumber
)
# Create request dict and remove empty string fields to avoid API issues
payload_dict = data_for_payload.model_dump(exclude_defaults=False, exclude_none=False)
# Remove empty string fields that might cause API issues
cleaned_payload = {k: v for k, v in payload_dict.items() if v != ""}
final_payload = {"data": cleaned_payload}
logger.info(f"DanistayApiClient: Performing DETAILED search via {self.DETAILED_SEARCH_ENDPOINT} with payload: {final_payload}")
return await self._execute_api_search(self.DETAILED_SEARCH_ENDPOINT, final_payload)
async def _execute_api_search(self, endpoint: str, payload: Dict) -> DanistayApiResponse:
try:
response = await self.http_client.post(endpoint, json=payload)
response.raise_for_status()
response_json_data = response.json()
logger.debug(f"DanistayApiClient: Raw API response from {endpoint}: {response_json_data}")
api_response_parsed = DanistayApiResponse(**response_json_data)
if api_response_parsed.data and api_response_parsed.data.data:
for decision_item in api_response_parsed.data.data:
if decision_item.id:
decision_item.document_url = f"{self.BASE_URL}{self.DOCUMENT_ENDPOINT}?id={decision_item.id}"
return api_response_parsed
except httpx.RequestError as e:
logger.error(f"DanistayApiClient: HTTP request error during search to {endpoint}: {e}")
raise
except Exception as e:
logger.error(f"DanistayApiClient: Error processing or validating search response from {endpoint}: {e}")
raise
def _convert_html_to_markdown_danistay(self, direct_html_content: str) -> Optional[str]:
"""
Converts direct HTML content (assumed from Danıştay /getDokuman) to Markdown.
"""
if not direct_html_content:
return None
# Basic HTML unescaping and fixing common escaped characters
# This step might be less critical if MarkItDown handles them, but good for pre-cleaning.
processed_html = html.unescape(direct_html_content)
processed_html = processed_html.replace('\\"', '"') # If any such JS-escaped strings exist
# Danistay HTML doesn't seem to have \\r\\n etc. from the example, but keeping for robustness
processed_html = processed_html.replace('\\r\\n', '\n').replace('\\n', '\n').replace('\\t', '\t')
# For simplicity and to leverage MarkItDown's capability to handle full docs,
# we pass the pre-processed full HTML.
html_input_for_markdown = processed_html
markdown_text = None
try:
# Convert HTML string to bytes and create BytesIO stream
html_bytes = html_input_for_markdown.encode('utf-8')
html_stream = io.BytesIO(html_bytes)
# Pass BytesIO stream to MarkItDown to avoid temp file creation
md_converter = MarkItDown()
conversion_result = md_converter.convert(html_stream)
markdown_text = conversion_result.text_content
logger.info("DanistayApiClient: HTML to Markdown conversion successful.")
except Exception as e:
logger.error(f"DanistayApiClient: Error during MarkItDown HTML to Markdown conversion: {e}")
return markdown_text
async def get_decision_document_as_markdown(self, id: str) -> DanistayDocumentMarkdown:
"""
Retrieves a specific Danıştay decision by ID and returns its content as Markdown.
The /getDokuman endpoint for Danıştay requires arananKelime parameter.
"""
# Add required arananKelime parameter - using empty string as minimum requirement
document_api_url = f"{self.DOCUMENT_ENDPOINT}?id={id}&arananKelime="
source_url = f"{self.BASE_URL}{document_api_url}"
logger.info(f"DanistayApiClient: Fetching Danistay document for Markdown (ID: {id}) from {source_url}")
try:
# For direct HTML response, we might want different headers if the API is sensitive,
# but httpx usually handles basic GET requests well.
response = await self.http_client.get(document_api_url)
response.raise_for_status()
# Danıştay /getDokuman directly returns HTML text
html_content_from_api = response.text
if not isinstance(html_content_from_api, str) or not html_content_from_api.strip():
logger.warning(f"DanistayApiClient: Received empty or non-string HTML content for ID {id}.")
# Return with None markdown_content if HTML is effectively empty
return DanistayDocumentMarkdown(
id=id,
markdown_content=None,
source_url=source_url
)
markdown_content = self._convert_html_to_markdown_danistay(html_content_from_api)
return DanistayDocumentMarkdown(
id=id,
markdown_content=markdown_content,
source_url=source_url
)
except httpx.RequestError as e:
logger.error(f"DanistayApiClient: HTTP error fetching Danistay document (ID: {id}): {e}")
raise
# Removed ValueError for JSON as Danistay /getDokuman returns direct HTML
except Exception as e: # Catches other errors like MarkItDown issues if they propagate
logger.error(f"DanistayApiClient: General error processing Danistay document (ID: {id}): {e}")
raise
async def close_client_session(self):
"""Closes the HTTPX client session."""
if self.http_client and not self.http_client.is_closed:
await self.http_client.aclose()
logger.info("DanistayApiClient: HTTP client session closed.")
@@ -1,112 +0,0 @@
# danistay_mcp_module/models.py
from pydantic import BaseModel, Field, HttpUrl, ConfigDict
from typing import List, Optional, Dict, Any
class DanistayBaseSearchRequest(BaseModel):
"""Base model for common search parameters for Danistay."""
pageSize: int = Field(default=10, ge=1, le=10)
pageNumber: int = Field(default=1, ge=1)
# siralama and siralamaDirection are part of detailed search, not necessarily keyword search
# as per user's provided payloads.
class DanistayKeywordSearchRequestData(BaseModel):
"""Internal data model for the keyword search payload's 'data' field."""
andKelimeler: List[str] = Field(default_factory=list)
orKelimeler: List[str] = Field(default_factory=list)
notAndKelimeler: List[str] = Field(default_factory=list)
notOrKelimeler: List[str] = Field(default_factory=list)
pageSize: int
pageNumber: int
class DanistayKeywordSearchRequest(BaseModel): # This is the model the MCP tool will accept
"""Model for keyword-based search request for Danistay."""
andKelimeler: List[str] = Field(default_factory=list, description="AND keywords")
orKelimeler: List[str] = Field(default_factory=list, description="OR keywords")
notAndKelimeler: List[str] = Field(default_factory=list, description="NOT AND keywords")
notOrKelimeler: List[str] = Field(default_factory=list, description="NOT OR keywords")
pageSize: int = Field(default=10, ge=1, le=10)
pageNumber: int = Field(default=1, ge=1)
class DanistayDetailedSearchRequestData(BaseModel): # Internal data model for detailed search payload
"""Internal data model for the detailed search payload's 'data' field."""
daire: Optional[str] = "" # API expects empty string for None
esasYil: Optional[str] = ""
esasIlkSiraNo: Optional[str] = ""
esasSonSiraNo: Optional[str] = ""
kararYil: Optional[str] = ""
kararIlkSiraNo: Optional[str] = ""
kararSonSiraNo: Optional[str] = ""
baslangicTarihi: Optional[str] = ""
bitisTarihi: Optional[str] = ""
mevzuatNumarasi: Optional[str] = ""
mevzuatAdi: Optional[str] = ""
madde: Optional[str] = ""
siralama: str # Seems mandatory in detailed search payload
siralamaDirection: str # Seems mandatory
pageSize: int
pageNumber: int
# Note: 'arananKelime' is not in the detailed search payload example provided by user.
# If it can be included, it should be added here.
class DanistayDetailedSearchRequest(DanistayBaseSearchRequest): # MCP tool will accept this
"""Model for detailed search request for Danistay."""
daire: str = Field("", description="Chamber")
esasYil: str = Field("", description="Case year")
esasIlkSiraNo: str = Field("", description="Start case no")
esasSonSiraNo: str = Field("", description="End case no")
kararYil: str = Field("", description="Decision year")
kararIlkSiraNo: str = Field("", description="Start decision no")
kararSonSiraNo: str = Field("", description="End decision no")
baslangicTarihi: str = Field("", description="Start date")
bitisTarihi: str = Field("", description="End date")
mevzuatNumarasi: str = Field("", description="Law number")
mevzuatAdi: str = Field("", description="Law name")
madde: str = Field("", description="Article")
# Add a general keyword field if detailed search also supports it
# arananKelime: Optional[str] = Field(None, description="General keyword for detailed search.")
class DanistayApiDecisionEntry(BaseModel):
"""Model for an individual decision entry from the Danistay API search response.
Based on user-provided response samples for both keyword and detailed search.
"""
id: str
# The API response for keyword search uses "daireKurul", detailed search example uses "daire".
# We use an alias to handle both and map to a consistent field name "chamber".
chamber: str = Field("", alias="daire", description="Chamber")
esasNo: str = Field("", description="Case number")
kararNo: str = Field("", description="Decision number")
kararTarihi: str = Field("", description="Decision date")
arananKelime: str = Field("", description="Keyword")
# index: Optional[int] = None # Present in response, can be added if needed by MCP tool
# siraNo: Optional[int] = None # Present in detailed response, can be added
document_url: Optional[HttpUrl] = Field(None, description="Document URL")
model_config = ConfigDict(populate_by_name=True, extra='ignore') # Important for alias to work and ignore extra fields
class DanistayApiResponseInnerData(BaseModel):
"""Model for the inner 'data' object in the Danistay API search response."""
data: List[DanistayApiDecisionEntry]
recordsTotal: int
recordsFiltered: int
draw: int = Field(0, description="Draw counter")
class DanistayApiResponse(BaseModel):
"""Model for the complete search response from the Danistay API."""
data: Optional[DanistayApiResponseInnerData] = Field(None, description="Response data, can be null when no results found")
metadata: Optional[Dict[str, Any]] = Field(None, description="Optional metadata (Meta Veri) from API.")
class DanistayDocumentMarkdown(BaseModel):
"""Model for a Danistay decision document, containing only Markdown content."""
id: str
markdown_content: str = Field("", description="The decision content (Karar İçeriği) converted to Markdown.")
source_url: HttpUrl
class CompactDanistaySearchResult(BaseModel):
"""A compact search result model for the MCP tool to return."""
decisions: List[DanistayApiDecisionEntry]
total_records: int
requested_page: int
page_size: int
@@ -1,66 +0,0 @@
version: '3.8'
services:
yargi-mcp:
build: .
image: yargi-mcp:latest
container_name: yargi-mcp-server
ports:
- "${PORT:-8000}:8000"
environment:
- HOST=0.0.0.0
- PORT=8000
- LOG_LEVEL=${LOG_LEVEL:-info}
- ALLOWED_ORIGINS=${ALLOWED_ORIGINS:-*}
- API_TOKEN=${API_TOKEN:-}
- PYTHONUNBUFFERED=1
volumes:
# Mount logs directory
- ./logs:/app/logs
# Mount .env file if it exists
- ./.env:/app/.env:ro
restart: unless-stopped
healthcheck:
test: ["CMD", "python", "-c", "import httpx; httpx.get('http://localhost:8000/health').raise_for_status()"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
networks:
- yargi-network
# Optional: Nginx reverse proxy
nginx:
image: nginx:alpine
container_name: yargi-nginx
ports:
- "80:80"
- "443:443"
volumes:
- ./nginx.conf:/etc/nginx/nginx.conf:ro
- ./ssl:/etc/nginx/ssl:ro
depends_on:
- yargi-mcp
networks:
- yargi-network
profiles:
- production
# Optional: Redis for caching (future enhancement)
redis:
image: redis:alpine
container_name: yargi-redis
command: redis-server --appendonly yes
volumes:
- redis-data:/data
networks:
- yargi-network
profiles:
- with-cache
networks:
yargi-network:
driver: bridge
volumes:
redis-data:
@@ -1,428 +0,0 @@
# Yargı MCP Server Dağıtım Rehberi
Bu rehber, Yargı MCP Server'ın ASGI web servisi olarak çeşitli dağıtım seçeneklerini kapsar.
## İçindekiler
- [Hızlı Başlangıç](#hızlı-başlangıç)
- [Yerel Geliştirme](#yerel-geliştirme)
- [Production Dağıtımı](#production-dağıtımı)
- [Cloud Dağıtımı](#cloud-dağıtımı)
- [Docker Dağıtımı](#docker-dağıtımı)
- [Güvenlik Hususları](#güvenlik-hususları)
- [İzleme](#izleme)
## Hızlı Başlangıç
### 1. Bağımlılıkları Yükleyin
```bash
# ASGI sunucusu için uvicorn yükleyin
pip install uvicorn
# Veya tüm bağımlılıklarla birlikte yükleyin
pip install -e .
pip install uvicorn
```
### 2. Sunucuyu Çalıştırın
```bash
# Temel başlatma
python run_asgi.py
# Veya doğrudan uvicorn ile
uvicorn asgi_app:app --host 0.0.0.0 --port 8000
```
Sunucu şu adreslerde kullanılabilir olacak:
- MCP Endpoint: `http://localhost:8000/mcp/`
- Sağlık Kontrolü: `http://localhost:8000/health`
- API Durumu: `http://localhost:8000/status`
## Yerel Geliştirme
### Otomatik Yeniden Yükleme ile Geliştirme Sunucusu
```bash
python run_asgi.py --reload --log-level debug
```
### FastAPI Entegrasyonunu Kullanma
Ek REST API endpoint'leri için:
```bash
uvicorn fastapi_app:app --reload
```
Bu şunları sağlar:
- `/docs` adresinde interaktif API dokümantasyonu
- `/api/tools` adresinde araç listesi
- `/api/databases` adresinde veritabanı bilgileri
### Ortam Değişkenleri
`.env.example` dosyasını temel alarak bir `.env` dosyası oluşturun:
```bash
cp .env.example .env
```
Temel değişkenler:
- `HOST`: Sunucu host adresi (varsayılan: 127.0.0.1)
- `PORT`: Sunucu portu (varsayılan: 8000)
- `ALLOWED_ORIGINS`: CORS kökenleri (virgülle ayrılmış)
- `LOG_LEVEL`: Log seviyesi (debug, info, warning, error)
## Production Dağıtımı
### 1. Uvicorn ile Çoklu Worker Kullanımı
```bash
python run_asgi.py --host 0.0.0.0 --port 8000 --workers 4
```
### 2. Gunicorn Kullanımı
```bash
pip install gunicorn
gunicorn asgi_app:app -w 4 -k uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000
```
### 3. Nginx Reverse Proxy ile
1. Nginx'i yükleyin
2. Sağlanan `nginx.conf` dosyasını kullanın:
```bash
sudo cp nginx.conf /etc/nginx/sites-available/yargi-mcp
sudo ln -s /etc/nginx/sites-available/yargi-mcp /etc/nginx/sites-enabled/
sudo nginx -t
sudo systemctl reload nginx
```
### 4. Systemd Servisi
`/etc/systemd/system/yargi-mcp.service` dosyasını oluşturun:
```ini
[Unit]
Description=Yargı MCP Server
After=network.target
[Service]
Type=exec
User=www-data
WorkingDirectory=/opt/yargi-mcp
Environment="PATH=/opt/yargi-mcp/venv/bin"
ExecStart=/opt/yargi-mcp/venv/bin/uvicorn asgi_app:app --host 0.0.0.0 --port 8000 --workers 4
Restart=on-failure
RestartSec=5
[Install]
WantedBy=multi-user.target
```
Etkinleştirin ve başlatın:
```bash
sudo systemctl enable yargi-mcp
sudo systemctl start yargi-mcp
```
## Cloud Dağıtımı
### Heroku
1. `Procfile` oluşturun:
```
web: uvicorn asgi_app:app --host 0.0.0.0 --port $PORT
```
2. Dağıtın:
```bash
heroku create uygulama-isminiz
git push heroku main
```
### Railway
1. `railway.json` ekleyin:
```json
{
"build": {
"builder": "NIXPACKS"
},
"deploy": {
"startCommand": "uvicorn asgi_app:app --host 0.0.0.0 --port $PORT"
}
}
```
2. Railway CLI veya GitHub entegrasyonu ile dağıtın
### Google Cloud Run
1. Container oluşturun:
```bash
docker build -t yargi-mcp .
docker tag yargi-mcp gcr.io/PROJE_ADINIZ/yargi-mcp
docker push gcr.io/PROJE_ADINIZ/yargi-mcp
```
2. Dağıtın:
```bash
gcloud run deploy yargi-mcp \
--image gcr.io/PROJE_ADINIZ/yargi-mcp \
--platform managed \
--region us-central1 \
--allow-unauthenticated
```
### AWS Lambda (Mangum kullanarak)
1. Mangum'u yükleyin:
```bash
pip install mangum
```
2. `lambda_handler.py` oluşturun:
```python
from mangum import Mangum
from asgi_app import app
handler = Mangum(app, lifespan="off")
```
3. AWS SAM veya Serverless Framework kullanarak dağıtın
## Docker Dağıtımı
### Tek Container
```bash
# Oluşturun
docker build -t yargi-mcp .
# Çalıştırın
docker run -p 8000:8000 --env-file .env yargi-mcp
```
### Docker Compose
```bash
# Geliştirme
docker-compose up
# Nginx ile Production
docker-compose --profile production up
# Redis önbellekleme ile
docker-compose --profile with-cache up
```
### Kubernetes
Deployment YAML oluşturun:
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: yargi-mcp
spec:
replicas: 3
selector:
matchLabels:
app: yargi-mcp
template:
metadata:
labels:
app: yargi-mcp
spec:
containers:
- name: yargi-mcp
image: yargi-mcp:latest
ports:
- containerPort: 8000
env:
- name: HOST
value: "0.0.0.0"
- name: PORT
value: "8000"
livenessProbe:
httpGet:
path: /health
port: 8000
initialDelaySeconds: 10
periodSeconds: 30
---
apiVersion: v1
kind: Service
metadata:
name: yargi-mcp-service
spec:
selector:
app: yargi-mcp
ports:
- port: 80
targetPort: 8000
type: LoadBalancer
```
## Güvenlik Hususları
### 1. Kimlik Doğrulama
`API_TOKEN` ortam değişkenini ayarlayarak token kimlik doğrulamasını etkinleştirin:
```bash
export API_TOKEN=gizli-token-degeri
```
Ardından isteklere ekleyin:
```bash
curl -H "Authorization: Bearer gizli-token-degeri" http://localhost:8000/api/tools
```
### 2. HTTPS/SSL
Production için her zaman HTTPS kullanın:
1. SSL sertifikası edinin (Let's Encrypt vb.)
2. Nginx veya cloud sağlayıcıda yapılandırın
3. `ALLOWED_ORIGINS` değerini https:// kullanacak şekilde güncelleyin
### 3. Rate Limiting (Hız Sınırlama)
Sağlanan Nginx yapılandırması rate limiting içerir:
- API endpoint'leri: 10 istek/saniye
- MCP endpoint: 100 istek/saniye
### 4. CORS Yapılandırması
Production için belirli kaynaklara izin verin:
```bash
ALLOWED_ORIGINS=https://app.sizindomain.com,https://www.sizindomain.com
```
## İzleme
### Sağlık Kontrolleri
`/health` endpoint'ini izleyin:
```bash
curl http://localhost:8000/health
```
Yanıt:
```json
{
"status": "healthy",
"timestamp": "2024-12-26T10:00:00",
"uptime_seconds": 3600,
"tools_operational": true
}
```
### Loglama
Ortam değişkeni ile log seviyesini yapılandırın:
```bash
LOG_LEVEL=info # veya debug, warning, error
```
Loglar şuraya yazılır:
- Konsol (stdout)
- `logs/mcp_server.log` dosyası
### Metrikler (Opsiyonel)
OpenTelemetry desteği için:
```bash
pip install opentelemetry-instrumentation-fastapi
```
Ortam değişkenlerini ayarlayın:
```bash
OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
OTEL_SERVICE_NAME=yargi-mcp-server
```
## Sorun Giderme
### Port Zaten Kullanımda
```bash
# 8000 portunu kullanan işlemi bulun
lsof -i :8000
# İşlemi sonlandırın
kill -9 <PID>
```
### İzin Hataları
Dosya izinlerinin doğru olduğundan emin olun:
```bash
chmod +x run_asgi.py
chown -R www-data:www-data /opt/yargi-mcp
```
### Bellek Sorunları
Büyük belge işleme için worker belleğini artırın:
```bash
# systemd servisinde
Environment="PYTHONMALLOC=malloc"
LimitNOFILE=65536
```
### Zaman Aşımı Sorunları
Zaman aşımlarını ayarlayın:
1. Uvicorn: `--timeout-keep-alive 75`
2. Nginx: `proxy_read_timeout 300s;`
3. Cloud sağlayıcılar: Platform özel zaman aşımı ayarlarını kontrol edin
## Performans Ayarlama
### 1. Worker İşlemleri
- Geliştirme: 1 worker
- Production: CPU çekirdeği başına 2-4 worker
### 2. Bağlantı Havuzlama
Sunucu varsayılan olarak httpx ile bağlantı havuzlama kullanır.
### 3. Önbellekleme (Gelecek Geliştirme)
Redis önbellekleme docker-compose ile etkinleştirilebilir:
```bash
docker-compose --profile with-cache up
```
### 4. Veritabanı Zaman Aşımları
`.env` dosyasında veritabanı başına zaman aşımlarını ayarlayın:
```bash
YARGITAY_TIMEOUT=60
DANISTAY_TIMEOUT=60
ANAYASA_TIMEOUT=90
```
## Destek
Sorunlar ve sorular için:
- GitHub Issues: https://github.com/saidsurucu/yargi-mcp/issues
- Dokümantasyon: README.md dosyasına bakın
@@ -1,177 +0,0 @@
# emsal_mcp_module/client.py
import httpx
# from bs4 import BeautifulSoup # Uncomment if needed for advanced HTML pre-processing
from typing import Dict, Any, List, Optional
import logging
import html
import re
import io
from markitdown import MarkItDown
from .models import (
EmsalSearchRequest,
EmsalDetailedSearchRequestData,
EmsalApiResponse,
EmsalDocumentMarkdown
)
logger = logging.getLogger(__name__)
if not logger.hasHandlers():
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
class EmsalApiClient:
"""API Client for Emsal (UYAP Precedent Decision) search system."""
BASE_URL = "https://emsal.uyap.gov.tr"
DETAILED_SEARCH_ENDPOINT = "/aramadetaylist"
DOCUMENT_ENDPOINT = "/getDokuman"
def __init__(self, request_timeout: float = 30.0):
self.http_client = httpx.AsyncClient(
base_url=self.BASE_URL,
headers={
"Content-Type": "application/json; charset=UTF-8",
"Accept": "application/json, text/plain, */*",
"X-Requested-With": "XMLHttpRequest",
},
timeout=request_timeout,
verify=False # As per user's original FastAPI code
)
async def search_detailed_decisions(
self,
params: EmsalSearchRequest
) -> EmsalApiResponse:
"""Performs a detailed search for Emsal decisions."""
data_for_api_payload = EmsalDetailedSearchRequestData(
arananKelime=params.keyword or "",
Bam_Hukuk_Mahkemeleri=params.selected_bam_civil_court, # Uses alias "Bam Hukuk Mahkemeleri"
Hukuk_Mahkemeleri=params.selected_civil_court, # Uses alias "Hukuk Mahkemeleri"
birimHukukMah="+".join(params.selected_regional_civil_chambers) if params.selected_regional_civil_chambers else "",
esasYil=params.case_year_esas or "",
esasIlkSiraNo=params.case_start_seq_esas or "",
esasSonSiraNo=params.case_end_seq_esas or "",
kararYil=params.decision_year_karar or "",
kararIlkSiraNo=params.decision_start_seq_karar or "",
kararSonSiraNo=params.decision_end_seq_karar or "",
baslangicTarihi=params.start_date or "",
bitisTarihi=params.end_date or "",
siralama=params.sort_criteria,
siralamaDirection=params.sort_direction,
pageSize=params.page_size,
pageNumber=params.page_number
)
# Create request dict and remove empty string fields to avoid API issues
payload_dict = data_for_api_payload.model_dump(by_alias=True, exclude_none=True)
# Remove empty string fields that might cause API issues
cleaned_payload = {k: v for k, v in payload_dict.items() if v != ""}
final_payload = {"data": cleaned_payload}
logger.info(f"EmsalApiClient: Performing DETAILED search with payload: {final_payload}")
return await self._execute_api_search(self.DETAILED_SEARCH_ENDPOINT, final_payload)
async def _execute_api_search(self, endpoint: str, payload: Dict) -> EmsalApiResponse:
"""Helper method to execute search POST request and process response for Emsal."""
try:
response = await self.http_client.post(endpoint, json=payload)
response.raise_for_status()
response_json_data = response.json()
logger.debug(f"EmsalApiClient: Raw API response from {endpoint}: {response_json_data}")
api_response_parsed = EmsalApiResponse(**response_json_data)
if api_response_parsed.data and api_response_parsed.data.data:
for decision_item in api_response_parsed.data.data:
if decision_item.id:
decision_item.document_url = f"{self.BASE_URL}{self.DOCUMENT_ENDPOINT}?id={decision_item.id}"
return api_response_parsed
except httpx.RequestError as e:
logger.error(f"EmsalApiClient: HTTP request error during Emsal search to {endpoint}: {e}")
raise
except Exception as e:
logger.error(f"EmsalApiClient: Error processing or validating Emsal search response from {endpoint}: {e}")
raise
def _clean_html_and_convert_to_markdown_emsal(self, html_content_from_api_data_field: str) -> Optional[str]:
"""
Cleans HTML (from Emsal API 'data' field containing HTML string)
and converts it to Markdown using MarkItDown.
This assumes Emsal /getDokuman response is JSON with HTML in "data" field,
similar to Yargitay and the last Emsal /getDokuman example.
"""
if not html_content_from_api_data_field:
return None
# Basic HTML unescaping and fixing common escaped characters
# Based on user's original fix_html_content in app/routers/emsal.py
content = html.unescape(html_content_from_api_data_field)
content = content.replace('\\"', '"')
content = content.replace('\\r\\n', '\n')
content = content.replace('\\n', '\n')
content = content.replace('\\t', '\t')
# The HTML string from "data" field starts with "<html><head>..."
html_input_for_markdown = content
markdown_text = None
try:
# Convert HTML string to bytes and create BytesIO stream
html_bytes = html_input_for_markdown.encode('utf-8')
html_stream = io.BytesIO(html_bytes)
# Pass BytesIO stream to MarkItDown to avoid temp file creation
md_converter = MarkItDown()
conversion_result = md_converter.convert(html_stream)
markdown_text = conversion_result.text_content
logger.info("EmsalApiClient: HTML to Markdown conversion successful.")
except Exception as e:
logger.error(f"EmsalApiClient: Error during MarkItDown HTML to Markdown conversion for Emsal: {e}")
return markdown_text
async def get_decision_document_as_markdown(self, id: str) -> EmsalDocumentMarkdown:
"""
Retrieves a specific Emsal decision by ID and returns its content as Markdown.
Assumes Emsal /getDokuman endpoint returns JSON with HTML content in the 'data' field.
"""
document_api_url = f"{self.DOCUMENT_ENDPOINT}?id={id}"
source_url = f"{self.BASE_URL}{document_api_url}"
logger.info(f"EmsalApiClient: Fetching Emsal document for Markdown (ID: {id}) from {source_url}")
try:
response = await self.http_client.get(document_api_url)
response.raise_for_status()
# Emsal /getDokuman returns JSON with HTML in 'data' field (confirmed by user example)
response_json = response.json()
html_content_from_api = response_json.get("data")
if not isinstance(html_content_from_api, str) or not html_content_from_api.strip():
logger.warning(f"EmsalApiClient: Received empty or non-string HTML in 'data' field for Emsal ID {id}.")
return EmsalDocumentMarkdown(id=id, markdown_content=None, source_url=source_url)
markdown_content = self._clean_html_and_convert_to_markdown_emsal(html_content_from_api)
return EmsalDocumentMarkdown(
id=id,
markdown_content=markdown_content,
source_url=source_url
)
except httpx.RequestError as e:
logger.error(f"EmsalApiClient: HTTP error fetching Emsal document (ID: {id}): {e}")
raise
except ValueError as e:
logger.error(f"EmsalApiClient: ValueError processing Emsal document response (ID: {id}): {e}")
raise
except Exception as e:
logger.error(f"EmsalApiClient: General error processing Emsal document (ID: {id}): {e}")
raise
async def close_client_session(self):
"""Closes the HTTPX client session."""
if self.http_client and not self.http_client.is_closed:
await self.http_client.aclose()
logger.info("EmsalApiClient: HTTP client session closed.")
@@ -1,101 +0,0 @@
# emsal_mcp_module/models.py
from pydantic import BaseModel, Field, HttpUrl, ConfigDict
from typing import List, Optional, Dict, Any
class EmsalDetailedSearchRequestData(BaseModel):
"""
Internal model for the 'data' object in the Emsal detailed search payload.
Field names use aliases to match the exact keys in the API payload
(e.g., "Bam Hukuk Mahkemeleri" with spaces).
The API expects empty strings for None/omitted optional fields.
"""
arananKelime: Optional[str] = ""
Bam_Hukuk_Mahkemeleri: str = Field("", alias="Bam Hukuk Mahkemeleri")
Hukuk_Mahkemeleri: str = Field("", alias="Hukuk Mahkemeleri")
# Add other specific court type fields from the form if they are separate keys in payload
# E.g., "Ceza Mahkemeleri", "İdari Mahkemeler" etc.
birimHukukMah: Optional[str] = Field("", description="Regional chambers (+ separated)")
esasYil: Optional[str] = ""
esasIlkSiraNo: Optional[str] = ""
esasSonSiraNo: Optional[str] = ""
kararYil: Optional[str] = ""
kararIlkSiraNo: Optional[str] = ""
kararSonSiraNo: Optional[str] = ""
baslangicTarihi: Optional[str] = ""
bitisTarihi: Optional[str] = ""
siralama: str # Mandatory in payload example
siralamaDirection: str # Mandatory in payload example
pageSize: int
pageNumber: int
model_config = ConfigDict(populate_by_name=True) # Enables use of alias in serialization (when dumping to dict for payload)
class EmsalSearchRequest(BaseModel): # This is the model the MCP tool will accept
"""Model for Emsal detailed search request, with user-friendly field names."""
keyword: str = Field("", description="Keyword")
selected_bam_civil_court: str = Field("", description="BAM Civil Court")
selected_civil_court: str = Field("", description="Civil Court")
selected_regional_civil_chambers: List[str] = Field(default_factory=list, description="Regional chambers")
case_year_esas: str = Field("", description="Case year")
case_start_seq_esas: str = Field("", description="Start case no")
case_end_seq_esas: str = Field("", description="End case no")
decision_year_karar: str = Field("", description="Decision year")
decision_start_seq_karar: str = Field("", description="Start decision no")
decision_end_seq_karar: str = Field("", description="End decision no")
start_date: str = Field("", description="Start date (DD.MM.YYYY)")
end_date: str = Field("", description="End date (DD.MM.YYYY)")
sort_criteria: str = Field("1", description="Sort by")
sort_direction: str = Field("desc", description="Direction")
page_number: int = Field(default=1, ge=1)
page_size: int = Field(default=10, ge=1, le=10)
class EmsalApiDecisionEntry(BaseModel):
"""Model for an individual decision entry from the Emsal API search response."""
id: str
daire: str = Field("", description="Chamber")
esasNo: str = Field("", description="Case number")
kararNo: str = Field("", description="Decision number")
kararTarihi: str = Field("", description="Decision date")
arananKelime: str = Field("", description="Keyword")
durum: str = Field("", description="Status")
# index: Optional[int] = None # Present in Emsal response, can be added if tool needs it
document_url: Optional[HttpUrl] = Field(None, description="Document URL")
model_config = ConfigDict(extra='ignore')
class EmsalApiResponseInnerData(BaseModel):
"""Model for the inner 'data' object in the Emsal API search response."""
data: List[EmsalApiDecisionEntry]
recordsTotal: int
recordsFiltered: int
draw: int = Field(0, description="Draw counter (Çizim Sayıcısı) from API, usually for DataTables.")
class EmsalApiResponse(BaseModel):
"""Model for the complete search response from the Emsal API."""
data: EmsalApiResponseInnerData
metadata: Optional[Dict[str, Any]] = Field(None, description="Optional metadata (Meta Veri) from API, if any.")
class EmsalDocumentMarkdown(BaseModel):
"""Model for an Emsal decision document, containing only Markdown content."""
id: str
markdown_content: str = Field("", description="The decision content (Karar İçeriği) converted to Markdown.")
source_url: HttpUrl
class CompactEmsalSearchResult(BaseModel):
"""A compact search result model for the MCP tool to return."""
decisions: List[EmsalApiDecisionEntry]
total_records: int
requested_page: int
page_size: int
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
@@ -1,74 +0,0 @@
# kik_mcp_module/models.py
from pydantic import BaseModel, Field, HttpUrl, computed_field, ConfigDict
from typing import List, Optional
from enum import Enum
import base64 # Base64 encoding/decoding için
class KikKararTipi(str, Enum):
"""Enum for KIK (Public Procurement Authority) Decision Types."""
UYUSMAZLIK = "rbUyusmazlik"
DUZENLEYICI = "rbDuzenleyici"
MAHKEME = "rbMahkeme"
class KikSearchRequest(BaseModel):
"""Model for KIK Decision search criteria."""
karar_tipi: KikKararTipi = Field(KikKararTipi.UYUSMAZLIK, description="Type")
karar_no: str = Field("", description="No")
karar_tarihi_baslangic: str = Field("", description="Start", pattern=r"^\d{2}\.\d{2}\.\d{4}$|^$")
karar_tarihi_bitis: str = Field("", description="End", pattern=r"^\d{2}\.\d{2}\.\d{4}$|^$")
resmi_gazete_sayisi: str = Field("", description="Gazette")
resmi_gazete_tarihi: str = Field("", description="Date", pattern=r"^\d{2}\.\d{2}\.\d{4}$|^$")
basvuru_konusu_ihale: str = Field("", description="Subject")
basvuru_sahibi: str = Field("", description="Applicant")
ihaleyi_yapan_idare: str = Field("", description="Entity")
yil: str = Field("", description="Year")
karar_metni: str = Field("", description="Text")
page: int = Field(1, ge=1, description="Page")
class KikDecisionEntry(BaseModel):
"""Represents a single decision entry from KIK search results."""
preview_event_target: str = Field(..., description="Event target")
karar_no_str: str = Field(..., alias="kararNo", description="Decision number")
karar_tipi: KikKararTipi = Field(..., description="Decision type")
karar_tarihi_str: str = Field(..., alias="kararTarihi", description="Date")
idare_str: str = Field("", alias="idare", description="Entity")
basvuru_sahibi_str: str = Field("", alias="basvuruSahibi", description="Applicant")
ihale_konusu_str: str = Field("", alias="ihaleKonusu", description="Subject")
@computed_field
@property
def karar_id(self) -> str:
"""
A Base64 encoded unique ID for the decision, combining decision type and number.
Format before encoding: "{karar_tipi.value}|{karar_no_str}"
"""
combined_key = f"{self.karar_tipi.value}|{self.karar_no_str}"
return base64.b64encode(combined_key.encode('utf-8')).decode('utf-8')
model_config = ConfigDict(populate_by_name=True)
class KikSearchResult(BaseModel):
"""Model for KIK search results."""
decisions: List[KikDecisionEntry]
total_records: int = 0
current_page: int = 1
class KikDocumentMarkdown(BaseModel):
"""
KIK decision document, with Markdown content potentially paginated.
"""
retrieved_with_karar_id: Optional[str] = Field(None, description="Request ID")
retrieved_karar_no: Optional[str] = Field(None, description="Decision number")
retrieved_karar_tipi: Optional[KikKararTipi] = Field(None, description="Decision type")
karar_id_param_from_url: Optional[str] = Field(None, alias="kararIdParam", description="Internal ID")
markdown_chunk: Optional[str] = Field(None, description="Content")
source_url: Optional[str] = Field(None, description="Source URL")
error_message: Optional[str] = Field(None, description="Error")
current_page: int = Field(1, description="Page")
total_pages: int = Field(1, description="Total pages")
is_paginated: bool = Field(False, description="Paginated")
full_content_char_count: Optional[int] = Field(None, description="Char count")
model_config = ConfigDict(populate_by_name=True)
@@ -1 +0,0 @@
# kvkk_mcp_module/__init__.py
@@ -1,372 +0,0 @@
# kvkk_mcp_module/client.py
import httpx
from bs4 import BeautifulSoup
from typing import List, Optional, Dict, Any
import logging
import os
import re
import io
import math
from urllib.parse import urljoin, urlparse, parse_qs
from markitdown import MarkItDown
from pydantic import HttpUrl
from .models import (
KvkkSearchRequest,
KvkkDecisionSummary,
KvkkSearchResult,
KvkkDocumentMarkdown
)
logger = logging.getLogger(__name__)
if not logger.hasHandlers():
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
class KvkkApiClient:
"""
API client for searching and retrieving KVKK (Personal Data Protection Authority) decisions
using Brave Search API for discovery and direct HTTP requests for content retrieval.
"""
BRAVE_API_URL = "https://api.search.brave.com/res/v1/web/search"
KVKK_BASE_URL = "https://www.kvkk.gov.tr"
DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000 # Character limit per page
def __init__(self, request_timeout: float = 60.0):
"""Initialize the KVKK API client."""
self.brave_api_token = os.getenv("BRAVE_API_TOKEN")
if not self.brave_api_token:
# Fallback to provided free token
self.brave_api_token = "BSAuaRKB-dvSDSQxIN0ft1p2k6N82Kq"
logger.info("Using fallback Brave API token (limited free token)")
else:
logger.info("Using Brave API token from environment variable")
self.http_client = httpx.AsyncClient(
headers={
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
"Accept-Language": "tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
},
timeout=request_timeout,
verify=True,
follow_redirects=True
)
def _construct_search_query(self, keywords: str) -> str:
"""Construct the search query for Brave API."""
base_query = 'site:kvkk.gov.tr "karar özeti"'
if keywords.strip():
return f"{base_query} {keywords.strip()}"
return base_query
def _extract_decision_id_from_url(self, url: str) -> Optional[str]:
"""Extract decision ID from KVKK decision URL."""
try:
# Example URL: https://www.kvkk.gov.tr/Icerik/7288/2021-1303
parsed_url = urlparse(url)
path_parts = parsed_url.path.strip('/').split('/')
if len(path_parts) >= 3 and path_parts[0] == 'Icerik':
# Extract the decision ID from the path
decision_id = '/'.join(path_parts[1:]) # e.g., "7288/2021-1303"
return decision_id
except Exception as e:
logger.debug(f"Could not extract decision ID from URL {url}: {e}")
return None
def _extract_decision_metadata_from_title(self, title: str) -> Dict[str, Optional[str]]:
"""Extract decision metadata from title string."""
metadata = {
"decision_date": None,
"decision_number": None
}
if not title:
return metadata
# Extract decision date (DD/MM/YYYY format)
date_match = re.search(r'(\d{1,2}/\d{1,2}/\d{4})', title)
if date_match:
metadata["decision_date"] = date_match.group(1)
# Extract decision number (YYYY/XXXX format)
number_match = re.search(r'(\d{4}/\d+)', title)
if number_match:
metadata["decision_number"] = number_match.group(1)
return metadata
async def search_decisions(self, params: KvkkSearchRequest) -> KvkkSearchResult:
"""Search for KVKK decisions using Brave API."""
search_query = self._construct_search_query(params.keywords)
logger.info(f"KvkkApiClient: Searching with query: {search_query}")
try:
# Calculate offset for pagination
offset = (params.page - 1) * params.pageSize
response = await self.http_client.get(
self.BRAVE_API_URL,
headers={
"Accept": "application/json",
"Accept-Encoding": "gzip",
"x-subscription-token": self.brave_api_token
},
params={
"q": search_query,
"country": "TR",
"search_lang": "tr",
"ui_lang": "tr-TR",
"offset": offset,
"count": params.pageSize
}
)
response.raise_for_status()
data = response.json()
# Extract search results
decisions = []
web_results = data.get("web", {}).get("results", [])
for result in web_results:
title = result.get("title", "")
url = result.get("url", "")
description = result.get("description", "")
# Extract metadata from title
metadata = self._extract_decision_metadata_from_title(title)
# Extract decision ID from URL
decision_id = self._extract_decision_id_from_url(url)
decision = KvkkDecisionSummary(
title=title,
url=HttpUrl(url) if url else None,
description=description,
decision_id=decision_id,
publication_date=metadata.get("decision_date"),
decision_number=metadata.get("decision_number")
)
decisions.append(decision)
# Get total results if available
total_results = None
query_info = data.get("query", {})
if "total_results" in query_info:
total_results = query_info["total_results"]
return KvkkSearchResult(
decisions=decisions,
total_results=total_results,
page=params.page,
pageSize=params.pageSize,
query=search_query
)
except httpx.RequestError as e:
logger.error(f"KvkkApiClient: HTTP request error during search: {e}")
return KvkkSearchResult(
decisions=[],
total_results=0,
page=params.page,
pageSize=params.pageSize,
query=search_query
)
except Exception as e:
logger.error(f"KvkkApiClient: Unexpected error during search: {e}")
return KvkkSearchResult(
decisions=[],
total_results=0,
page=params.page,
pageSize=params.pageSize,
query=search_query
)
def _extract_decision_content_from_html(self, html: str, url: str) -> Dict[str, Any]:
"""Extract decision content from KVKK decision page HTML."""
try:
soup = BeautifulSoup(html, 'html.parser')
# Extract title
title = None
title_element = soup.find('h3', class_='blog-post-title')
if title_element:
title = title_element.get_text(strip=True)
elif soup.title:
title = soup.title.get_text(strip=True)
# Extract decision content from the main content div
content_div = soup.find('div', class_='blog-post-inner')
if not content_div:
# Fallback to other possible content containers
content_div = soup.find('div', style='text-align:justify;')
if not content_div:
logger.warning(f"Could not find decision content div in {url}")
return {
"title": title,
"decision_date": None,
"decision_number": None,
"subject_summary": None,
"html_content": None
}
# Extract decision metadata from table
decision_date = None
decision_number = None
subject_summary = None
table = content_div.find('table')
if table:
rows = table.find_all('tr')
for row in rows:
cells = row.find_all('td')
if len(cells) >= 3:
field_name = cells[0].get_text(strip=True)
field_value = cells[2].get_text(strip=True)
if 'Karar Tarihi' in field_name:
decision_date = field_value
elif 'Karar No' in field_name:
decision_number = field_value
elif 'Konu Özeti' in field_name:
subject_summary = field_value
return {
"title": title,
"decision_date": decision_date,
"decision_number": decision_number,
"subject_summary": subject_summary,
"html_content": str(content_div)
}
except Exception as e:
logger.error(f"Error extracting content from HTML for {url}: {e}")
return {
"title": None,
"decision_date": None,
"decision_number": None,
"subject_summary": None,
"html_content": None
}
def _convert_html_to_markdown(self, html_content: str) -> Optional[str]:
"""Convert HTML content to Markdown using MarkItDown with BytesIO to avoid filename length issues."""
if not html_content:
return None
try:
# Convert HTML string to bytes and create BytesIO stream
html_bytes = html_content.encode('utf-8')
html_stream = io.BytesIO(html_bytes)
# Pass BytesIO stream to MarkItDown to avoid temp file creation
md_converter = MarkItDown(enable_plugins=False)
result = md_converter.convert(html_stream)
return result.text_content
except Exception as e:
logger.error(f"Error converting HTML to Markdown: {e}")
return None
async def get_decision_document(self, decision_url: str, page_number: int = 1) -> KvkkDocumentMarkdown:
"""Retrieve and convert a KVKK decision document to paginated Markdown."""
logger.info(f"KvkkApiClient: Getting decision document from: {decision_url}, page: {page_number}")
try:
# Fetch the decision page
response = await self.http_client.get(decision_url)
response.raise_for_status()
# Extract content from HTML
extracted_data = self._extract_decision_content_from_html(response.text, decision_url)
# Convert HTML content to Markdown
full_markdown_content = None
if extracted_data["html_content"]:
full_markdown_content = self._convert_html_to_markdown(extracted_data["html_content"])
if not full_markdown_content:
return KvkkDocumentMarkdown(
source_url=HttpUrl(decision_url),
title=extracted_data["title"],
decision_date=extracted_data["decision_date"],
decision_number=extracted_data["decision_number"],
subject_summary=extracted_data["subject_summary"],
markdown_chunk=None,
current_page=page_number,
total_pages=0,
is_paginated=False,
error_message="Could not convert document content to Markdown"
)
# Calculate pagination
content_length = len(full_markdown_content)
total_pages = math.ceil(content_length / self.DOCUMENT_MARKDOWN_CHUNK_SIZE)
if total_pages == 0:
total_pages = 1
# Clamp page number to valid range
current_page_clamped = max(1, min(page_number, total_pages))
# Extract the requested chunk
start_index = (current_page_clamped - 1) * self.DOCUMENT_MARKDOWN_CHUNK_SIZE
end_index = start_index + self.DOCUMENT_MARKDOWN_CHUNK_SIZE
markdown_chunk = full_markdown_content[start_index:end_index]
return KvkkDocumentMarkdown(
source_url=HttpUrl(decision_url),
title=extracted_data["title"],
decision_date=extracted_data["decision_date"],
decision_number=extracted_data["decision_number"],
subject_summary=extracted_data["subject_summary"],
markdown_chunk=markdown_chunk,
current_page=current_page_clamped,
total_pages=total_pages,
is_paginated=(total_pages > 1),
error_message=None
)
except httpx.HTTPStatusError as e:
error_msg = f"HTTP error {e.response.status_code} when fetching decision document"
logger.error(f"KvkkApiClient: {error_msg}")
return KvkkDocumentMarkdown(
source_url=HttpUrl(decision_url),
title=None,
decision_date=None,
decision_number=None,
subject_summary=None,
markdown_chunk=None,
current_page=page_number,
total_pages=0,
is_paginated=False,
error_message=error_msg
)
except Exception as e:
error_msg = f"Unexpected error when fetching decision document: {str(e)}"
logger.error(f"KvkkApiClient: {error_msg}")
return KvkkDocumentMarkdown(
source_url=HttpUrl(decision_url),
title=None,
decision_date=None,
decision_number=None,
subject_summary=None,
markdown_chunk=None,
current_page=page_number,
total_pages=0,
is_paginated=False,
error_message=error_msg
)
async def close_client_session(self):
"""Close the HTTP client session."""
if hasattr(self, 'http_client') and self.http_client and not self.http_client.is_closed:
await self.http_client.aclose()
logger.info("KvkkApiClient: HTTP client session closed.")
@@ -1,49 +0,0 @@
# kvkk_mcp_module/models.py
from pydantic import BaseModel, Field, HttpUrl
from typing import List, Optional, Any
class KvkkSearchRequest(BaseModel):
"""Model for KVKK (Personal Data Protection Authority) search request via Brave API."""
keywords: str = Field(..., description="""
Keywords to search for in KVKK decisions.
The search will automatically include 'site:kvkk.gov.tr "karar özeti"' to target KVKK decision summaries.
Examples: "açık rıza", "veri güvenliği", "kişisel veri işleme"
""")
page: int = Field(1, ge=1, le=50, description="Page number for search results (1-50).")
pageSize: int = Field(10, ge=1, le=10, description="Number of results per page (1-10).")
class KvkkDecisionSummary(BaseModel):
"""Model for a single KVKK decision summary from Brave search results."""
title: Optional[str] = Field(None, description="Decision title from search results.")
url: Optional[HttpUrl] = Field(None, description="URL to the KVKK decision page.")
description: Optional[str] = Field(None, description="Brief description or snippet from search results.")
decision_id: Optional[str] = Field(None, description="Value")
publication_date: Optional[str] = Field(None, description="Value")
decision_number: Optional[str] = Field(None, description="Value")
class KvkkSearchResult(BaseModel):
"""Model for the overall search result for KVKK decisions."""
decisions: List[KvkkDecisionSummary] = Field(default_factory=list, description="List of KVKK decisions found.")
total_results: Optional[int] = Field(None, description="Value")
page: int = Field(1, description="Current page number of results.")
pageSize: int = Field(10, description="Number of results per page.")
query: Optional[str] = Field(None, description="The actual search query sent to Brave API.")
class KvkkDocumentMarkdown(BaseModel):
"""Model for KVKK decision document content converted to paginated Markdown."""
source_url: HttpUrl = Field(description="URL of the original KVKK decision page.")
title: Optional[str] = Field(None, description="Title of the KVKK decision.")
decision_date: Optional[str] = Field(None, description="Decision date (Karar Tarihi).")
decision_number: Optional[str] = Field(None, description="Decision number (Karar No).")
subject_summary: Optional[str] = Field(None, description="Subject summary (Konu Özeti).")
markdown_chunk: Optional[str] = Field(None, description="A 5,000 character chunk of the Markdown content.")
current_page: int = Field(description="The current page number of the markdown chunk (1-indexed).")
total_pages: int = Field(description="Total number of pages for the full markdown content.")
is_paginated: bool = Field(description="True if the full markdown content is split into multiple pages.")
error_message: Optional[str] = Field(None, description="Value")
class Config:
json_encoders = {
HttpUrl: str
}
@@ -1,28 +0,0 @@
"""
MCP Auth Toolkit - OAuth 2.1 + Authorization for Model Context Protocol Servers
Integrated with Clerk Authentication
"""
from .middleware import (
AuthContext,
FastMCPAuthWrapper,
MCPAuthMiddleware,
auth_required,
)
from .oauth import OAuthConfig, OAuthProvider
from .policy import PolicyEngine, ToolPolicy, create_default_policies
from .storage import PersistentStorage
__version__ = "0.1.0"
__all__ = [
"OAuthProvider",
"OAuthConfig",
"AuthContext",
"auth_required",
"create_default_policies",
"MCPAuthMiddleware",
"FastMCPAuthWrapper",
"PolicyEngine",
"ToolPolicy",
"PersistentStorage",
]
@@ -1,73 +0,0 @@
"""
Clerk OAuth configuration for MCP Auth Toolkit
"""
import os
import logging
from .oauth import OAuthConfig
logger = logging.getLogger(__name__)
def create_clerk_oauth_config() -> OAuthConfig:
"""Create OAuth configuration for Clerk integration using SDK"""
# Get Clerk configuration from environment
clerk_domain = os.getenv("CLERK_DOMAIN", "accounts.yargimcp.com")
clerk_publishable_key = os.getenv("CLERK_PUBLISHABLE_KEY")
clerk_secret_key = os.getenv("CLERK_SECRET_KEY")
if not clerk_publishable_key or not clerk_secret_key:
raise ValueError("CLERK_PUBLISHABLE_KEY and CLERK_SECRET_KEY are required")
# For Clerk with custom domains, we use our adapter endpoints
# This allows us to handle the custom domain flow properly
base_url = os.getenv("BASE_URL", "https://yargimcp.com")
config = OAuthConfig(
client_id=clerk_publishable_key,
client_secret=clerk_secret_key,
# Use our adapter endpoints instead of Clerk's direct endpoints
authorization_endpoint=f"{base_url}/authorize",
token_endpoint=f"{base_url}/token",
# Keep Clerk's JWKS for token validation
jwks_uri=f"https://{clerk_domain}/.well-known/jwks.json",
issuer=base_url, # We're the issuer for MCP tokens
scopes=["mcp:tools:read", "mcp:tools:write", "openid", "profile", "email"]
)
logger.info(f"Created Clerk OAuth config with adapter endpoints")
logger.info(f"Clerk domain: {clerk_domain}")
logger.debug(f"Authorization endpoint: {config.authorization_endpoint}")
logger.debug(f"Token endpoint: {config.token_endpoint}")
return config
def get_jwt_secret() -> str:
"""Get JWT secret for token signing"""
jwt_secret = os.getenv("JWT_SECRET_KEY")
if not jwt_secret:
raise ValueError("JWT_SECRET_KEY environment variable is required")
return jwt_secret
def create_mcp_server_config():
"""Create complete MCP server configuration for Clerk integration"""
try:
oauth_config = create_clerk_oauth_config()
jwt_secret = get_jwt_secret()
return {
"oauth_config": oauth_config,
"jwt_secret": jwt_secret,
"base_url": os.getenv("BASE_URL", "https://yargi-mcp.fly.dev"),
"auth_enabled": os.getenv("ENABLE_AUTH", "true").lower() == "true"
}
except Exception as e:
logger.error(f"Failed to create MCP server config: {e}")
raise
@@ -1,315 +0,0 @@
"""
MCP server middleware for OAuth authentication and authorization
"""
import functools
import logging
from collections.abc import Callable
from dataclasses import dataclass
from typing import Any, Optional
logger = logging.getLogger(__name__)
try:
from fastmcp import FastMCP
FASTMCP_AVAILABLE = True
except ImportError:
FASTMCP_AVAILABLE = False
FastMCP = None
logger.warning("FastMCP not available, some features will be disabled")
from .oauth import OAuthProvider
from .policy import PolicyEngine
@dataclass
class AuthContext:
"""Authentication context passed to MCP tools"""
user_id: str
scopes: list[str]
claims: dict[str, Any]
token: str
class MCPAuthMiddleware:
"""Authentication middleware for MCP servers"""
def __init__(self, oauth_provider: OAuthProvider, policy_engine: PolicyEngine):
self.oauth_provider = oauth_provider
self.policy_engine = policy_engine
def authenticate_request(self, authorization_header: str) -> AuthContext | None:
"""Extract and validate auth token from request"""
if not authorization_header:
logger.debug("No authorization header provided")
return None
if not authorization_header.startswith("Bearer "):
logger.debug("Authorization header does not start with 'Bearer '")
return None
token = authorization_header[7:] # Remove 'Bearer ' prefix
token_info = self.oauth_provider.introspect_token(token)
if not token_info.get("active"):
logger.warning("Token is not active")
return None
logger.debug(f"Authenticated user: {token_info.get('sub', 'unknown')}")
return AuthContext(
user_id=token_info.get("sub", "unknown"),
scopes=token_info.get("mcp_tool_scopes", []),
claims=token_info,
token=token,
)
def authorize_tool_call(
self, tool_name: str, auth_context: AuthContext
) -> tuple[bool, str | None]:
"""Check if user can call the specified tool"""
return self.policy_engine.authorize_tool_call(
tool_name=tool_name,
user_scopes=auth_context.scopes,
user_claims=auth_context.claims,
)
def auth_required(
oauth_provider: OAuthProvider,
policy_engine: PolicyEngine,
tool_name: str | None = None,
):
"""
Decorator to require authentication for MCP tool functions
Usage:
@auth_required(oauth_provider, policy_engine, "search_yargitay")
def my_tool_function(context: AuthContext, ...):
pass
"""
def decorator(func: Callable) -> Callable:
middleware = MCPAuthMiddleware(oauth_provider, policy_engine)
@functools.wraps(func)
async def wrapper(*args, **kwargs):
# Extract authorization header from kwargs
auth_header = kwargs.pop("authorization", None)
# Also check in args if it's a Request object
if not auth_header and args:
for arg in args:
if hasattr(arg, 'headers'):
auth_header = arg.headers.get("Authorization")
break
if not auth_header:
logger.warning(f"No authorization header for tool '{tool_name or func.__name__}'")
raise PermissionError("Authorization header required")
auth_context = middleware.authenticate_request(auth_header)
if not auth_context:
logger.warning(f"Authentication failed for tool '{tool_name or func.__name__}'")
raise PermissionError("Invalid or expired token")
actual_tool_name = tool_name or func.__name__
authorized, reason = middleware.authorize_tool_call(
actual_tool_name, auth_context
)
if not authorized:
logger.warning(f"Authorization failed for tool '{actual_tool_name}': {reason}")
raise PermissionError(f"Access denied: {reason}")
# Add auth context to function call
return await func(auth_context, *args, **kwargs)
return wrapper
return decorator
class FastMCPAuthWrapper:
"""Wrapper for FastMCP servers to add authentication"""
def __init__(
self,
mcp_server: "FastMCP",
oauth_provider: OAuthProvider,
policy_engine: PolicyEngine,
):
if not FASTMCP_AVAILABLE:
raise ImportError("FastMCP is required for FastMCPAuthWrapper")
self.mcp_server = mcp_server
self.middleware = MCPAuthMiddleware(oauth_provider, policy_engine)
self.oauth_provider = oauth_provider
logger.info("Initializing FastMCP authentication wrapper")
self._wrap_tools()
def _wrap_tools(self):
"""Wrap all existing tools with auth middleware"""
# Try different FastMCP tool storage locations
tool_registry = None
if hasattr(self.mcp_server, '_tools'):
tool_registry = self.mcp_server._tools
elif hasattr(self.mcp_server, 'tools'):
tool_registry = self.mcp_server.tools
elif hasattr(self.mcp_server, '_tool_registry'):
tool_registry = self.mcp_server._tool_registry
elif hasattr(self.mcp_server, '_handlers') and hasattr(self.mcp_server._handlers, 'tools'):
tool_registry = self.mcp_server._handlers.tools
if not tool_registry:
logger.warning("FastMCP server tool registry not found, tools will not be automatically wrapped")
logger.debug(f"Available server attributes: {dir(self.mcp_server)}")
return
logger.debug(f"Found tool registry with {len(tool_registry)} tools")
original_tools = dict(tool_registry)
wrapped_count = 0
for tool_name, tool_func in original_tools.items():
try:
wrapped_func = self._create_auth_wrapper(tool_name, tool_func)
tool_registry[tool_name] = wrapped_func
wrapped_count += 1
logger.debug(f"Wrapped tool: {tool_name}")
except Exception as e:
logger.error(f"Failed to wrap tool {tool_name}: {e}")
logger.info(f"Successfully wrapped {wrapped_count} tools with authentication")
def _create_auth_wrapper(self, tool_name: str, original_func: Callable) -> Callable:
"""Create auth wrapper for a specific tool"""
@functools.wraps(original_func)
async def auth_wrapper(*args, **kwargs):
# Extract authorization from various sources
auth_header = None
# Check kwargs first
auth_header = kwargs.pop("authorization", None)
# Check if first argument is a Request object
if not auth_header and args:
first_arg = args[0]
if hasattr(first_arg, 'headers'):
auth_header = first_arg.headers.get("Authorization")
if not auth_header:
logger.warning(f"No authorization header for tool '{tool_name}'")
raise PermissionError("Authorization required")
auth_context = self.middleware.authenticate_request(auth_header)
if not auth_context:
logger.warning(f"Authentication failed for tool '{tool_name}'")
raise PermissionError("Invalid token")
authorized, reason = self.middleware.authorize_tool_call(
tool_name, auth_context
)
if not authorized:
logger.warning(f"Authorization failed for tool '{tool_name}': {reason}")
raise PermissionError(f"Access denied: {reason}")
# Add auth context to kwargs
kwargs["auth_context"] = auth_context
logger.debug(f"Calling tool '{tool_name}' for user {auth_context.user_id}")
return await original_func(*args, **kwargs)
return auth_wrapper
def add_oauth_endpoints(self):
"""Add OAuth endpoints to the MCP server"""
@self.mcp_server.tool(
description="Initiate OAuth 2.1 authorization flow with PKCE",
annotations={"readOnlyHint": True, "idempotentHint": False}
)
async def oauth_authorize(redirect_uri: str, scopes: Optional[str] = None):
"""OAuth authorization endpoint"""
scope_list = scopes.split(" ") if scopes else None
auth_url, pkce = self.oauth_provider.generate_authorization_url(
redirect_uri=redirect_uri, scopes=scope_list
)
logger.info(f"Generated authorization URL for redirect_uri: {redirect_uri}")
return {
"authorization_url": auth_url,
"code_verifier": pkce.verifier, # For PKCE flow
"code_challenge": pkce.challenge,
"instructions": "Use the authorization_url to complete OAuth flow, then exchange the returned code using oauth_token tool"
}
@self.mcp_server.tool(
description="Exchange OAuth authorization code for access token",
annotations={"readOnlyHint": False, "idempotentHint": False}
)
async def oauth_token(
code: str,
state: str,
redirect_uri: str
):
"""OAuth token exchange endpoint"""
try:
result = await self.oauth_provider.exchange_code_for_token(
code=code, state=state, redirect_uri=redirect_uri
)
logger.info("Successfully exchanged authorization code for token")
return result
except Exception as e:
logger.error(f"Token exchange failed: {e}")
raise
@self.mcp_server.tool(
description="Validate and introspect OAuth access token",
annotations={"readOnlyHint": True, "idempotentHint": True}
)
async def oauth_introspect(token: str):
"""Token introspection endpoint"""
result = self.oauth_provider.introspect_token(token)
logger.debug(f"Token introspection: active={result.get('active', False)}")
return result
@self.mcp_server.tool(
description="Revoke OAuth access token",
annotations={"readOnlyHint": False, "idempotentHint": False}
)
async def oauth_revoke(token: str):
"""Token revocation endpoint"""
success = self.oauth_provider.revoke_token(token)
logger.info(f"Token revocation: success={success}")
return {"revoked": success}
@self.mcp_server.tool(
description="Get list of tools available to authenticated user",
annotations={"readOnlyHint": True, "idempotentHint": True}
)
async def oauth_user_tools(authorization: str):
"""Get user's allowed tools based on scopes"""
auth_context = self.middleware.authenticate_request(authorization)
if not auth_context:
raise PermissionError("Invalid token")
allowed_patterns = self.middleware.policy_engine.get_allowed_tools(auth_context.scopes)
return {
"user_id": auth_context.user_id,
"scopes": auth_context.scopes,
"allowed_tool_patterns": allowed_patterns,
"message": "Use these patterns to determine which tools you can access"
}
logger.info("Added OAuth endpoints: oauth_authorize, oauth_token, oauth_introspect, oauth_revoke, oauth_user_tools")
@@ -1,304 +0,0 @@
"""
OAuth 2.1 + PKCE implementation for MCP servers with Clerk integration
"""
import base64
import hashlib
import secrets
import time
import logging
from dataclasses import dataclass
from datetime import datetime, timedelta
from typing import Any, Optional
from urllib.parse import urlencode
import httpx
import jwt
from jwt.exceptions import PyJWTError, InvalidTokenError
from .storage import PersistentStorage
# Try to import Clerk SDK
try:
from clerk_backend_api import Clerk
CLERK_AVAILABLE = True
except ImportError:
CLERK_AVAILABLE = False
Clerk = None
logger = logging.getLogger(__name__)
@dataclass
class OAuthConfig:
"""OAuth provider configuration for Clerk"""
client_id: str
client_secret: str
authorization_endpoint: str
token_endpoint: str
jwks_uri: str | None = None
issuer: str = "mcp-auth"
scopes: list[str] = None
def __post_init__(self):
if self.scopes is None:
self.scopes = ["mcp:tools:read", "mcp:tools:write"]
class PKCEChallenge:
"""PKCE challenge/verifier pair for OAuth 2.1"""
def __init__(self):
self.verifier = (
base64.urlsafe_b64encode(secrets.token_bytes(32))
.decode("utf-8")
.rstrip("=")
)
challenge_bytes = hashlib.sha256(self.verifier.encode("utf-8")).digest()
self.challenge = (
base64.urlsafe_b64encode(challenge_bytes).decode("utf-8").rstrip("=")
)
class OAuthProvider:
"""OAuth 2.1 provider with PKCE support and Clerk integration"""
def __init__(self, config: OAuthConfig, jwt_secret: str):
self.config = config
self.jwt_secret = jwt_secret
# Use persistent storage instead of memory
self.storage = PersistentStorage()
# Initialize Clerk SDK if available
self.clerk = None
if CLERK_AVAILABLE and config.client_secret:
try:
self.clerk = Clerk(bearer_auth=config.client_secret)
logger.info("Clerk SDK initialized successfully")
except Exception as e:
logger.warning(f"Failed to initialize Clerk SDK: {e}")
logger.info("OAuth provider initialized with persistent storage")
def generate_authorization_url(
self,
redirect_uri: str,
state: str | None = None,
scopes: list[str] | None = None,
) -> tuple[str, PKCEChallenge]:
"""Generate OAuth authorization URL with PKCE for Clerk"""
pkce = PKCEChallenge()
session_id = secrets.token_urlsafe(32)
if state is None:
state = secrets.token_urlsafe(16)
if scopes is None:
scopes = self.config.scopes
# Store session data with expiration
session_data = {
"pkce_verifier": pkce.verifier,
"state": state,
"redirect_uri": redirect_uri,
"scopes": scopes,
"created_at": time.time(),
"expires_at": (datetime.utcnow() + timedelta(minutes=10)).timestamp(),
}
self.storage.set_session(session_id, session_data)
# Build Clerk OAuth URL
# Check if this is a custom domain (sign-in endpoint)
if self.config.authorization_endpoint.endswith('/sign-in'):
# For custom domains, Clerk expects redirect_url parameter
params = {
"redirect_url": redirect_uri,
"state": f"{state}:{session_id}",
}
auth_url = f"{self.config.authorization_endpoint}?{urlencode(params)}"
else:
# Standard OAuth flow with PKCE
params = {
"response_type": "code",
"client_id": self.config.client_id,
"redirect_uri": redirect_uri,
"scope": " ".join(scopes),
"state": f"{state}:{session_id}", # Combine state with session ID
"code_challenge": pkce.challenge,
"code_challenge_method": "S256",
}
auth_url = f"{self.config.authorization_endpoint}?{urlencode(params)}"
logger.info(f"Generated OAuth URL with session {session_id[:8]}...")
logger.debug(f"Auth URL: {auth_url}")
return auth_url, pkce
async def exchange_code_for_token(
self, code: str, state: str, redirect_uri: str
) -> dict[str, Any]:
"""Exchange authorization code for access token with Clerk"""
try:
original_state, session_id = state.split(":", 1)
except ValueError as e:
logger.error(f"Invalid state format: {state}")
raise ValueError("Invalid state format") from e
session = self.storage.get_session(session_id)
if not session:
logger.error(f"Session {session_id} not found")
raise ValueError("Invalid session")
# Check session expiration
if datetime.utcnow().timestamp() > session.get("expires_at", 0):
self.storage.delete_session(session_id)
logger.error(f"Session {session_id} expired")
raise ValueError("Session expired")
if session["state"] != original_state:
logger.error(f"State mismatch: expected {session['state']}, got {original_state}")
raise ValueError("State mismatch")
if session["redirect_uri"] != redirect_uri:
logger.error(f"Redirect URI mismatch: expected {session['redirect_uri']}, got {redirect_uri}")
raise ValueError("Redirect URI mismatch")
# Prepare token exchange request for Clerk
token_data = {
"grant_type": "authorization_code",
"client_id": self.config.client_id,
"client_secret": self.config.client_secret,
"code": code,
"redirect_uri": redirect_uri,
"code_verifier": session["pkce_verifier"],
}
logger.info(f"Exchanging code with Clerk for session {session_id[:8]}...")
async with httpx.AsyncClient() as client:
response = await client.post(
self.config.token_endpoint,
data=token_data,
headers={"Content-Type": "application/x-www-form-urlencoded"},
timeout=30.0,
)
if response.status_code != 200:
logger.error(f"Clerk token exchange failed: {response.status_code} - {response.text}")
raise ValueError(f"Token exchange failed: {response.text}")
token_response = response.json()
logger.info("Successfully exchanged code for Clerk token")
# Create MCP-scoped JWT token
access_token = self._create_mcp_token(
session["scopes"], token_response.get("access_token"), session_id
)
# Store token for introspection
token_id = secrets.token_urlsafe(16)
token_data = {
"access_token": access_token,
"scopes": session["scopes"],
"created_at": time.time(),
"expires_at": (datetime.utcnow() + timedelta(hours=1)).timestamp(),
"session_id": session_id,
"clerk_token": token_response.get("access_token"),
}
self.storage.set_token(token_id, token_data)
# Clean up session
self.storage.delete_session(session_id)
return {
"access_token": access_token,
"token_type": "bearer",
"expires_in": 3600,
"scope": " ".join(session["scopes"]),
}
def validate_pkce(self, code_verifier: str, code_challenge: str) -> bool:
"""Validate PKCE code challenge (RFC 7636)"""
# S256 method
verifier_hash = hashlib.sha256(code_verifier.encode()).digest()
expected_challenge = base64.urlsafe_b64encode(verifier_hash).decode().rstrip('=')
return expected_challenge == code_challenge
def _create_mcp_token(
self, scopes: list[str], upstream_token: str, session_id: str
) -> str:
"""Create MCP-scoped JWT token with Clerk token embedded"""
now = int(time.time())
payload = {
"iss": self.config.issuer,
"sub": session_id,
"aud": "mcp-server",
"iat": now,
"exp": now + 3600, # 1 hour expiration
"mcp_tool_scopes": scopes,
"upstream_token": upstream_token,
"clerk_integration": True,
}
return jwt.encode(payload, self.jwt_secret, algorithm="HS256")
def introspect_token(self, token: str) -> dict[str, Any]:
"""Introspect and validate MCP token"""
try:
payload = jwt.decode(token, self.jwt_secret, algorithms=["HS256"])
# Check if token is expired
if payload.get("exp", 0) < time.time():
return {"active": False, "error": "token_expired"}
return {
"active": True,
"sub": payload.get("sub"),
"aud": payload.get("aud"),
"iss": payload.get("iss"),
"exp": payload.get("exp"),
"iat": payload.get("iat"),
"mcp_tool_scopes": payload.get("mcp_tool_scopes", []),
"upstream_token": payload.get("upstream_token"),
"clerk_integration": payload.get("clerk_integration", False),
}
except PyJWTError as e:
logger.warning(f"Token validation failed: {e}")
return {"active": False, "error": "invalid_token"}
def revoke_token(self, token: str) -> bool:
"""Revoke a token"""
try:
payload = jwt.decode(token, self.jwt_secret, algorithms=["HS256"])
session_id = payload.get("sub")
# Remove all tokens associated with this session
all_tokens = self.storage.get_tokens()
tokens_to_remove = [
token_id
for token_id, token_data in all_tokens.items()
if token_data.get("session_id") == session_id
]
for token_id in tokens_to_remove:
self.storage.delete_token(token_id)
logger.info(f"Revoked {len(tokens_to_remove)} tokens for session {session_id}")
return True
except InvalidTokenError as e:
logger.warning(f"Token revocation failed: {e}")
return False
def cleanup_expired_sessions(self):
"""Clean up expired sessions and tokens"""
# This is now handled automatically by persistent storage
self.storage.cleanup_expired_sessions()
logger.debug("Cleanup completed via persistent storage")
@@ -1,201 +0,0 @@
"""
Authorization policy engine for MCP tools
"""
import re
import logging
from dataclasses import dataclass
from enum import Enum
from typing import Any
logger = logging.getLogger(__name__)
class PolicyAction(Enum):
ALLOW = "allow"
DENY = "deny"
@dataclass
class ToolPolicy:
"""Policy rule for MCP tool access"""
tool_pattern: str # regex pattern for tool names
required_scopes: list[str]
action: PolicyAction = PolicyAction.ALLOW
conditions: dict[str, Any] | None = None
def matches_tool(self, tool_name: str) -> bool:
"""Check if the policy applies to given tool"""
return bool(re.match(self.tool_pattern, tool_name))
def evaluate_scopes(self, user_scopes: list[str]) -> bool:
"""Check if user has required scopes"""
return all(scope in user_scopes for scope in self.required_scopes)
class PolicyEngine:
"""Authorization policy engine for Turkish legal database tools"""
def __init__(self):
self.policies: list[ToolPolicy] = []
self.default_action = PolicyAction.DENY
def add_policy(self, policy: ToolPolicy):
"""Add a policy rule"""
self.policies.append(policy)
logger.debug(f"Added policy: {policy.tool_pattern} -> {policy.required_scopes}")
def add_tool_scope_policy(
self,
tool_pattern: str,
required_scopes: str | list[str],
action: PolicyAction = PolicyAction.ALLOW,
):
"""Convenience method to add tool-scope policy"""
if isinstance(required_scopes, str):
required_scopes = [required_scopes]
policy = ToolPolicy(
tool_pattern=tool_pattern, required_scopes=required_scopes, action=action
)
self.add_policy(policy)
def authorize_tool_call(
self,
tool_name: str,
user_scopes: list[str],
user_claims: dict[str, Any] | None = None,
) -> tuple[bool, str | None]:
"""
Authorize a tool call
Returns:
(authorized: bool, reason: Optional[str])
"""
logger.debug(f"Authorizing tool '{tool_name}' for user with scopes: {user_scopes}")
matching_policies = [
policy for policy in self.policies if policy.matches_tool(tool_name)
]
if not matching_policies:
if self.default_action == PolicyAction.ALLOW:
logger.debug(f"No policies found for '{tool_name}', allowing by default")
return True, None
else:
logger.warning(f"No policies found for '{tool_name}', denying by default")
return False, f"No policy found for tool '{tool_name}', default deny"
# Check for explicit deny policies first
for policy in matching_policies:
if policy.action == PolicyAction.DENY:
if policy.evaluate_scopes(user_scopes):
logger.warning(f"Explicit deny policy matched for '{tool_name}'")
return False, f"Explicit deny policy for tool '{tool_name}'"
# Check allow policies
allow_policies = [
p for p in matching_policies if p.action == PolicyAction.ALLOW
]
if not allow_policies:
logger.warning(f"No allow policies found for '{tool_name}'")
return False, f"No allow policies found for tool '{tool_name}'"
for policy in allow_policies:
if policy.evaluate_scopes(user_scopes):
if self._evaluate_conditions(policy.conditions, user_claims):
logger.debug(f"Authorization granted for '{tool_name}'")
return True, None
logger.warning(f"Insufficient scopes for '{tool_name}'. Required: {[p.required_scopes for p in allow_policies]}, User has: {user_scopes}")
return False, f"Insufficient scopes for tool '{tool_name}'"
def _evaluate_conditions(
self,
conditions: dict[str, Any] | None,
user_claims: dict[str, Any] | None,
) -> bool:
"""Evaluate additional policy conditions"""
if not conditions:
return True
if not user_claims:
logger.debug("No user claims provided, conditions evaluation failed")
return False
for key, expected_value in conditions.items():
user_value = user_claims.get(key)
if isinstance(expected_value, list):
if user_value not in expected_value:
logger.debug(f"Condition failed: {key} = {user_value} not in {expected_value}")
return False
elif user_value != expected_value:
logger.debug(f"Condition failed: {key} = {user_value} != {expected_value}")
return False
return True
def get_allowed_tools(self, user_scopes: list[str]) -> list[str]:
"""Get list of tool patterns user is allowed to call"""
allowed_tools = []
for policy in self.policies:
if policy.action == PolicyAction.ALLOW and policy.evaluate_scopes(
user_scopes
):
allowed_tools.append(policy.tool_pattern)
return allowed_tools
def create_turkish_legal_policies() -> PolicyEngine:
"""Create policy set for Turkish legal database MCP server"""
engine = PolicyEngine()
# Administrative tools (full access)
engine.add_tool_scope_policy(".*", ["mcp:tools:admin"])
# Search tools - require read access
engine.add_tool_scope_policy("search.*", ["mcp:tools:read"])
# Fetch/get document tools - require read access
engine.add_tool_scope_policy("get_.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("fetch.*", ["mcp:tools:read"])
# Specific Turkish legal database tools
engine.add_tool_scope_policy("search_yargitay.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_danistay.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_anayasa.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_rekabet.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_kik.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_emsal.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_uyusmazlik.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_sayistay.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_.*_bedesten", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_yerel_hukuk.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_istinaf_hukuk.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("search_kyb.*", ["mcp:tools:read"])
# Document retrieval tools
engine.add_tool_scope_policy("get_.*_document.*", ["mcp:tools:read"])
engine.add_tool_scope_policy("get_.*_markdown", ["mcp:tools:read"])
# Write operations (if any future tools need them)
engine.add_tool_scope_policy("create_.*", ["mcp:tools:write"])
engine.add_tool_scope_policy("update_.*", ["mcp:tools:write"])
engine.add_tool_scope_policy("delete_.*", ["mcp:tools:write"])
logger.info("Created Turkish legal database policy engine")
return engine
def create_default_policies() -> PolicyEngine:
"""Create a default policy set for MCP servers (backwards compatibility)"""
return create_turkish_legal_policies()
@@ -1,112 +0,0 @@
"""
Persistent storage for OAuth sessions and tokens
"""
import json
import os
import tempfile
import logging
from datetime import datetime
from typing import Dict, Any, Optional
logger = logging.getLogger(__name__)
class PersistentStorage:
"""File-based persistent storage for OAuth data"""
def __init__(self, storage_dir: str = None):
if storage_dir is None:
# Use system temp directory or environment variable
storage_dir = os.environ.get('TEMP', tempfile.gettempdir())
self.storage_dir = os.path.join(storage_dir, 'mcp_oauth_storage')
os.makedirs(self.storage_dir, exist_ok=True)
self.sessions_file = os.path.join(self.storage_dir, 'oauth_sessions.json')
self.tokens_file = os.path.join(self.storage_dir, 'oauth_tokens.json')
logger.info(f"Persistent OAuth storage initialized at: {self.storage_dir}")
def _load_json(self, filepath: str) -> Dict:
"""Load JSON data from file"""
try:
if os.path.exists(filepath):
with open(filepath, 'r', encoding='utf-8') as f:
return json.load(f)
except Exception as e:
logger.error(f"Error loading {filepath}: {e}")
return {}
def _save_json(self, filepath: str, data: Dict):
"""Save JSON data to file"""
try:
with open(filepath, 'w', encoding='utf-8') as f:
json.dump(data, f, indent=2, default=str)
except Exception as e:
logger.error(f"Error saving {filepath}: {e}")
def get_sessions(self) -> Dict[str, Dict[str, Any]]:
"""Get all OAuth sessions"""
data = self._load_json(self.sessions_file)
# Clean expired sessions
now = datetime.utcnow().timestamp()
valid_sessions = {k: v for k, v in data.items()
if v.get('expires_at', 0) > now}
if len(valid_sessions) != len(data):
self._save_json(self.sessions_file, valid_sessions)
return valid_sessions
def set_session(self, session_id: str, data: Dict[str, Any]):
"""Set OAuth session data"""
sessions = self.get_sessions()
sessions[session_id] = data
self._save_json(self.sessions_file, sessions)
def get_session(self, session_id: str) -> Optional[Dict[str, Any]]:
"""Get specific OAuth session data"""
sessions = self.get_sessions()
return sessions.get(session_id)
def delete_session(self, session_id: str):
"""Delete OAuth session"""
sessions = self.get_sessions()
if session_id in sessions:
del sessions[session_id]
self._save_json(self.sessions_file, sessions)
def get_tokens(self) -> Dict[str, Dict[str, Any]]:
"""Get all OAuth tokens"""
data = self._load_json(self.tokens_file)
# Clean expired tokens
now = datetime.utcnow().timestamp()
valid_tokens = {k: v for k, v in data.items()
if v.get('expires_at', 0) > now}
if len(valid_tokens) != len(data):
self._save_json(self.tokens_file, valid_tokens)
return valid_tokens
def set_token(self, token_id: str, token_data: Dict[str, Any]):
"""Set OAuth token data"""
tokens = self.get_tokens()
tokens[token_id] = token_data
self._save_json(self.tokens_file, tokens)
def get_token(self, token_id: str) -> Optional[Dict[str, Any]]:
"""Get specific OAuth token data"""
tokens = self.get_tokens()
return tokens.get(token_id)
def delete_token(self, token_id: str):
"""Delete OAuth token"""
tokens = self.get_tokens()
if token_id in tokens:
del tokens[token_id]
self._save_json(self.tokens_file, tokens)
def cleanup_expired_sessions(self):
"""Clean up expired sessions and tokens"""
# This is handled automatically in get_sessions() and get_tokens()
sessions = self.get_sessions()
tokens = self.get_tokens()
logger.debug(f"Cleanup: {len(sessions)} active sessions, {len(tokens)} active tokens")
@@ -1,193 +0,0 @@
"""
Factory for creating FastMCP app with MCP Auth Toolkit integration
"""
import logging
import os
from typing import Optional
logger = logging.getLogger(__name__)
try:
from fastmcp import FastMCP
FASTMCP_AVAILABLE = True
except ImportError:
FASTMCP_AVAILABLE = False
FastMCP = None
from mcp_auth import (
OAuthProvider,
PolicyEngine,
FastMCPAuthWrapper,
create_default_policies
)
from mcp_auth.clerk_config import create_mcp_server_config
def create_auth_enabled_app(app_name: str = "Yargı MCP Server") -> FastMCP:
"""Create FastMCP app with authentication enabled"""
if not FASTMCP_AVAILABLE:
raise ImportError("FastMCP is required for authenticated MCP server")
logger.info("Creating FastMCP app with MCP Auth Toolkit integration")
# Create base FastMCP app
app = FastMCP(app_name)
# Check if authentication is enabled
auth_enabled = os.getenv("ENABLE_AUTH", "true").lower() == "true"
if not auth_enabled:
logger.info("Authentication disabled, returning basic FastMCP app")
return app
try:
# Get configuration
logger.info("Getting MCP server configuration...")
config = create_mcp_server_config()
logger.info("Configuration loaded successfully")
# Create OAuth provider with Clerk config
logger.info("Creating OAuth provider...")
oauth_provider = OAuthProvider(
config=config["oauth_config"],
jwt_secret=config["jwt_secret"]
)
logger.info("OAuth provider created successfully")
# Create policy engine for Turkish legal database
policy_engine = create_default_policies()
# Store auth components for later wrapping (after tools are defined)
app._oauth_provider = oauth_provider
app._policy_engine = policy_engine
app._auth_config = config
# Add OAuth endpoints immediately
@app.tool(
description="Initiate OAuth 2.1 authorization flow with PKCE",
annotations={"readOnlyHint": True, "idempotentHint": False}
)
async def oauth_authorize(redirect_uri: str, scopes: str = None):
"""OAuth authorization endpoint"""
scope_list = scopes.split(" ") if scopes else ["mcp:tools:read", "mcp:tools:write"]
auth_url, pkce = oauth_provider.generate_authorization_url(
redirect_uri=redirect_uri, scopes=scope_list
)
logger.info(f"Generated authorization URL for redirect_uri: {redirect_uri}")
return {
"authorization_url": auth_url,
"code_verifier": pkce.verifier,
"code_challenge": pkce.challenge,
"instructions": "Use the authorization_url to complete OAuth flow, then exchange the returned code using oauth_token tool"
}
@app.tool(
description="Exchange OAuth authorization code for access token",
annotations={"readOnlyHint": False, "idempotentHint": False}
)
async def oauth_token(code: str, state: str, redirect_uri: str):
"""OAuth token exchange endpoint"""
try:
result = await oauth_provider.exchange_code_for_token(
code=code, state=state, redirect_uri=redirect_uri
)
logger.info("Successfully exchanged authorization code for token")
return result
except Exception as e:
logger.error(f"Token exchange failed: {e}")
raise
@app.tool(
description="Validate and introspect OAuth access token",
annotations={"readOnlyHint": True, "idempotentHint": True}
)
async def oauth_introspect(token: str):
"""Token introspection endpoint"""
result = oauth_provider.introspect_token(token)
logger.debug(f"Token introspection: active={result.get('active', False)}")
return result
@app.tool(
description="Revoke OAuth access token",
annotations={"readOnlyHint": False, "idempotentHint": False}
)
async def oauth_revoke(token: str):
"""Token revocation endpoint"""
success = oauth_provider.revoke_token(token)
logger.info(f"Token revocation: success={success}")
return {"revoked": success}
logger.info("Successfully created authenticated FastMCP app")
except Exception as e:
logger.error(f"Failed to create authenticated app: {e}")
logger.info("Falling back to non-authenticated FastMCP app")
# Return basic app if auth setup fails
return app
return app
def create_app() -> FastMCP:
"""Create FastMCP app (backwards compatible with mcp_factory.py)"""
return create_auth_enabled_app()
def get_auth_wrapper(app: FastMCP) -> Optional[FastMCPAuthWrapper]:
"""Get auth wrapper from app if available"""
return getattr(app, '_auth_wrapper', None)
def get_oauth_provider(app: FastMCP) -> Optional[OAuthProvider]:
"""Get OAuth provider from app if available"""
return getattr(app, '_oauth_provider', None)
def get_policy_engine(app: FastMCP) -> Optional[PolicyEngine]:
"""Get policy engine from app if available"""
return getattr(app, '_policy_engine', None)
def is_auth_enabled(app: FastMCP) -> bool:
"""Check if authentication is enabled for the app"""
return hasattr(app, '_oauth_provider') or hasattr(app, '_auth_wrapper')
def enable_tool_authentication(app: FastMCP):
"""Enable authentication on all existing tools (call after tools are defined)"""
if not is_auth_enabled(app):
logger.debug("Authentication not enabled, skipping tool authentication")
return
oauth_provider = get_oauth_provider(app)
policy_engine = get_policy_engine(app)
if not oauth_provider or not policy_engine:
logger.warning("OAuth provider or policy engine not available")
return
try:
# Create auth wrapper and wrap tools
auth_wrapper = FastMCPAuthWrapper(
mcp_server=app,
oauth_provider=oauth_provider,
policy_engine=policy_engine
)
# Store wrapper for reference
app._auth_wrapper = auth_wrapper
logger.info("Tool authentication enabled successfully")
except Exception as e:
logger.error(f"Failed to enable tool authentication: {e}")
def cleanup_auth_sessions(app: FastMCP):
"""Clean up expired auth sessions and tokens"""
oauth_provider = get_oauth_provider(app)
if oauth_provider:
oauth_provider.cleanup_expired_sessions()
logger.debug("Cleaned up expired OAuth sessions")
@@ -1,383 +0,0 @@
"""
HTTP adapter for MCP Auth Toolkit OAuth endpoints
Exposes MCP OAuth tools as HTTP endpoints for Claude.ai integration
"""
import os
import logging
import secrets
import time
from typing import Optional
from urllib.parse import urlencode, quote
from datetime import datetime, timedelta
from fastapi import APIRouter, Request, Query, HTTPException
from fastapi.responses import RedirectResponse, JSONResponse
# Try to import Clerk SDK
try:
from clerk_backend_api import Clerk
CLERK_AVAILABLE = True
except ImportError as e:
CLERK_AVAILABLE = False
Clerk = None
logger = logging.getLogger(__name__)
router = APIRouter()
# OAuth configuration
BASE_URL = os.getenv("BASE_URL", "https://yargimcp.com")
@router.get("/.well-known/oauth-authorization-server")
async def get_oauth_metadata():
"""OAuth 2.0 Authorization Server Metadata (RFC 8414)"""
return JSONResponse({
"issuer": BASE_URL,
"authorization_endpoint": f"{BASE_URL}/authorize",
"token_endpoint": f"{BASE_URL}/token",
"registration_endpoint": f"{BASE_URL}/register",
"response_types_supported": ["code"],
"grant_types_supported": ["authorization_code", "refresh_token"],
"code_challenge_methods_supported": ["S256"],
"token_endpoint_auth_methods_supported": ["none"],
"scopes_supported": ["mcp:tools:read", "mcp:tools:write", "openid", "profile", "email"],
"service_documentation": f"{BASE_URL}/mcp/"
})
@router.get("/.well-known/oauth-protected-resource")
async def get_protected_resource_metadata():
"""OAuth Protected Resource Metadata (RFC 9728)"""
return JSONResponse({
"resource": BASE_URL,
"authorization_servers": [BASE_URL],
"bearer_methods_supported": ["header"],
"scopes_supported": ["mcp:tools:read", "mcp:tools:write"],
"resource_documentation": f"{BASE_URL}/docs"
})
@router.get("/authorize")
async def authorize_endpoint(
response_type: str = Query(...),
client_id: str = Query(...),
redirect_uri: str = Query(...),
code_challenge: str = Query(...),
code_challenge_method: str = Query("S256"),
state: Optional[str] = Query(None),
scope: Optional[str] = Query(None)
):
"""OAuth 2.1 Authorization Endpoint - Uses Clerk SDK for custom domains"""
logger.info(f"OAuth authorize request - client_id: {client_id}, redirect_uri: {redirect_uri}")
if not CLERK_AVAILABLE:
logger.error("Clerk SDK not available")
raise HTTPException(status_code=500, detail="Clerk SDK not available")
# Store OAuth session for later validation
try:
from mcp_server_main import app as mcp_app
from mcp_auth_factory import get_oauth_provider
oauth_provider = get_oauth_provider(mcp_app)
if not oauth_provider:
raise HTTPException(status_code=500, detail="OAuth provider not configured")
# Generate session and store PKCE
session_id = secrets.token_urlsafe(32)
if state is None:
state = secrets.token_urlsafe(16)
# Create PKCE challenge
from mcp_auth.oauth import PKCEChallenge
pkce = PKCEChallenge()
# Store session data
session_data = {
"pkce_verifier": pkce.verifier,
"pkce_challenge": code_challenge, # Store the client's challenge
"state": state,
"redirect_uri": redirect_uri,
"client_id": client_id,
"scopes": scope.split(" ") if scope else ["mcp:tools:read", "mcp:tools:write"],
"created_at": time.time(),
"expires_at": (datetime.utcnow() + timedelta(minutes=10)).timestamp(),
}
oauth_provider.storage.set_session(session_id, session_data)
# For Clerk with custom domains, we need to use their hosted sign-in page
# We'll pass our callback URL and session info in the state
callback_url = f"{BASE_URL}/auth/callback"
# Encode session info in state for retrieval after Clerk auth
combined_state = f"{state}:{session_id}"
# Use Clerk's sign-in URL with proper parameters
clerk_domain = os.getenv("CLERK_DOMAIN", "accounts.yargimcp.com")
sign_in_params = {
"redirect_url": f"{callback_url}?state={quote(combined_state)}",
}
sign_in_url = f"https://{clerk_domain}/sign-in?{urlencode(sign_in_params)}"
logger.info(f"Redirecting to Clerk sign-in: {sign_in_url}")
return RedirectResponse(url=sign_in_url)
except Exception as e:
logger.exception(f"Authorization failed: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/auth/callback")
async def oauth_callback(
request: Request,
state: Optional[str] = Query(None),
clerk_token: Optional[str] = Query(None)
):
"""Handle OAuth callback from Clerk - supports both JWT token and cookie auth"""
logger.info(f"OAuth callback received - state: {state}")
logger.info(f"Query params: {dict(request.query_params)}")
logger.info(f"Cookies: {dict(request.cookies)}")
logger.info(f"Clerk JWT token provided: {bool(clerk_token)}")
# Support both JWT token (for cross-domain) and cookie auth (for subdomain)
try:
if not state:
logger.error("No state parameter provided")
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "Missing state parameter"}
)
# Parse state to get original state and session ID
try:
if ":" in state:
original_state, session_id = state.rsplit(":", 1)
else:
original_state = state
session_id = state # Fallback
except ValueError:
logger.error(f"Invalid state format: {state}")
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "Invalid state format"}
)
# Get OAuth provider
from mcp_server_main import app as mcp_app
from mcp_auth_factory import get_oauth_provider
oauth_provider = get_oauth_provider(mcp_app)
if not oauth_provider:
raise HTTPException(status_code=500, detail="OAuth provider not configured")
# Get stored session
oauth_session = oauth_provider.storage.get_session(session_id)
if not oauth_session:
logger.error(f"OAuth session not found for ID: {session_id}")
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "OAuth session expired or not found"}
)
# Check if we have a JWT token (for cross-domain auth)
user_authenticated = False
auth_method = "none"
if clerk_token:
logger.info("Attempting JWT token validation")
try:
# Validate JWT token with Clerk
from clerk_backend_api import Clerk
clerk = Clerk(bearer_auth=os.getenv("CLERK_SECRET_KEY"))
# Extract session_id from JWT token and verify with Clerk
import jwt
decoded_token = jwt.decode(clerk_token, options={"verify_signature": False})
session_id = decoded_token.get("sid") or decoded_token.get("session_id")
if session_id:
# Verify with Clerk using session_id
session = clerk.sessions.verify(session_id=session_id, token=clerk_token)
user_id = session.user_id if session else None
else:
user_id = None
if user_id:
logger.info(f"JWT token validation successful - user_id: {user_id}")
user_authenticated = True
auth_method = "jwt_token"
# Store user info in session for token exchange
oauth_session["user_id"] = user_id
oauth_session["auth_method"] = "jwt_token"
else:
logger.error("JWT token validation failed - no user_id in claims")
except Exception as e:
logger.error(f"JWT token validation failed: {str(e)}")
# Fall through to cookie validation
# If no JWT token or validation failed, check cookies
if not user_authenticated:
logger.info("Checking for Clerk session cookies")
# Check for Clerk session cookies (for subdomain auth)
clerk_session_cookie = request.cookies.get("__session")
if clerk_session_cookie:
logger.info("Found Clerk session cookie, assuming authenticated")
user_authenticated = True
auth_method = "cookie"
oauth_session["auth_method"] = "cookie"
else:
logger.info("No Clerk session cookie found")
# For custom domains, we'll also trust that Clerk redirected here
if not user_authenticated:
logger.info("Trusting Clerk redirect for custom domain flow")
user_authenticated = True
auth_method = "trusted_redirect"
oauth_session["auth_method"] = "trusted_redirect"
logger.info(f"User authenticated: {user_authenticated}, method: {auth_method}")
# Generate simple authorization code for custom domain flow
auth_code = f"clerk_custom_{session_id}_{int(time.time())}"
# Store the code mapping for token exchange
code_data = {
"session_id": session_id,
"clerk_authenticated": user_authenticated,
"auth_method": auth_method,
"custom_domain_flow": True,
"created_at": time.time(),
"expires_at": (datetime.utcnow() + timedelta(minutes=5)).timestamp(),
}
if "user_id" in oauth_session:
code_data["user_id"] = oauth_session["user_id"]
oauth_provider.storage.set_session(f"code_{auth_code}", code_data)
# Build redirect URL back to Claude
redirect_params = {
"code": auth_code,
"state": original_state
}
redirect_url = f"{oauth_session['redirect_uri']}?{urlencode(redirect_params)}"
logger.info(f"Redirecting back to Claude: {redirect_url}")
return RedirectResponse(url=redirect_url)
except Exception as e:
logger.exception(f"Callback processing failed: {e}")
return JSONResponse(
status_code=500,
content={"error": "server_error", "error_description": str(e)}
)
@router.post("/register")
async def register_client(request: Request):
"""Dynamic Client Registration (RFC 7591)"""
data = await request.json()
logger.info(f"Client registration request: {data}")
# Simple dynamic registration - accept any client
client_id = f"mcp-client-{os.urandom(8).hex()}"
return JSONResponse({
"client_id": client_id,
"client_secret": None, # Public client
"redirect_uris": data.get("redirect_uris", []),
"grant_types": ["authorization_code", "refresh_token"],
"response_types": ["code"],
"client_name": data.get("client_name", "MCP Client"),
"token_endpoint_auth_method": "none",
"client_id_issued_at": int(datetime.now().timestamp())
})
@router.post("/token")
async def token_endpoint(request: Request):
"""OAuth 2.1 Token Endpoint"""
# Parse form data
form_data = await request.form()
grant_type = form_data.get("grant_type")
code = form_data.get("code")
redirect_uri = form_data.get("redirect_uri")
client_id = form_data.get("client_id")
code_verifier = form_data.get("code_verifier")
logger.info(f"Token exchange - grant_type: {grant_type}, code: {code[:20] if code else 'None'}...")
if grant_type != "authorization_code":
return JSONResponse(
status_code=400,
content={"error": "unsupported_grant_type"}
)
try:
# OAuth token exchange - validate code and return Clerk JWT
# This supports proper OAuth flow while using Clerk JWT tokens
if not code or not redirect_uri:
logger.error("Missing required parameters: code or redirect_uri")
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "Missing code or redirect_uri"}
)
# Validate OAuth code with Clerk
if CLERK_AVAILABLE:
try:
clerk = Clerk(bearer_auth=os.getenv("CLERK_SECRET_KEY"))
# In a real implementation, you'd validate the code with Clerk
# For now, we'll assume the code is valid if it looks like a Clerk code
if len(code) > 10: # Basic validation
# Create a mock session with the code
# In practice, this would be validated with Clerk's OAuth flow
# Return Clerk JWT token format
# This should be the actual Clerk JWT token from the OAuth flow
return JSONResponse({
"access_token": f"mock_clerk_jwt_{code}",
"token_type": "Bearer",
"expires_in": 3600,
"scope": "yargi.read yargi.search"
})
else:
logger.error(f"Invalid code format: {code}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Invalid authorization code"}
)
except Exception as e:
logger.error(f"Clerk validation failed: {e}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Authorization code validation failed"}
)
else:
logger.warning("Clerk SDK not available, using mock response")
return JSONResponse({
"access_token": "mock_jwt_token_for_development",
"token_type": "Bearer",
"expires_in": 3600,
"scope": "yargi.read yargi.search"
})
except Exception as e:
logger.exception(f"Token exchange failed: {e}")
return JSONResponse(
status_code=500,
content={"error": "server_error", "error_description": str(e)}
)
@@ -1,522 +0,0 @@
"""
Simplified MCP OAuth HTTP adapter - only Clerk JWT based authentication
Uses Redis for authorization code storage to support multi-machine deployment
"""
import os
import logging
from typing import Optional
from urllib.parse import urlencode, quote
from fastapi import APIRouter, Request, Query, HTTPException
from fastapi.responses import RedirectResponse, JSONResponse
# Import Redis session store
from redis_session_store import get_redis_store
# Try to import Clerk SDK
try:
from clerk_backend_api import Clerk
CLERK_AVAILABLE = True
except ImportError:
CLERK_AVAILABLE = False
Clerk = None
logger = logging.getLogger(__name__)
router = APIRouter()
# OAuth configuration
BASE_URL = os.getenv("BASE_URL", "https://api.yargimcp.com")
CLERK_DOMAIN = os.getenv("CLERK_DOMAIN", "accounts.yargimcp.com")
# Initialize Redis store
redis_store = None
def get_redis_session_store():
"""Get Redis store instance with lazy initialization."""
global redis_store
if redis_store is None:
try:
import concurrent.futures
import functools
# Use thread pool with timeout to prevent hanging
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
future = executor.submit(get_redis_store)
try:
# 5 second timeout for Redis initialization
redis_store = future.result(timeout=5.0)
if redis_store:
logger.info("Redis session store initialized for OAuth handler")
else:
logger.warning("Redis store initialization returned None")
except concurrent.futures.TimeoutError:
logger.error("Redis initialization timed out after 5 seconds")
redis_store = None
future.cancel() # Try to cancel the hanging operation
except Exception as e:
logger.error(f"Failed to initialize Redis store: {e}")
redis_store = None
if redis_store is None:
# Fall back to in-memory storage with warning
logger.warning("Falling back to in-memory storage - multi-machine deployment will not work")
return redis_store
@router.get("/.well-known/oauth-authorization-server")
async def get_oauth_metadata():
"""OAuth 2.0 Authorization Server Metadata (RFC 8414)"""
return JSONResponse({
"issuer": BASE_URL,
"authorization_endpoint": "https://yargimcp.com/mcp-callback",
"token_endpoint": f"{BASE_URL}/token",
"registration_endpoint": f"{BASE_URL}/register",
"response_types_supported": ["code"],
"grant_types_supported": ["authorization_code"],
"code_challenge_methods_supported": ["S256"],
"token_endpoint_auth_methods_supported": ["none"],
"scopes_supported": ["read", "search", "openid", "profile", "email"],
"service_documentation": f"{BASE_URL}/mcp/"
})
@router.get("/auth/login")
async def oauth_authorize(
request: Request,
client_id: str = Query(...),
redirect_uri: str = Query(...),
response_type: str = Query("code"),
scope: Optional[str] = Query("read search"),
state: Optional[str] = Query(None),
code_challenge: Optional[str] = Query(None),
code_challenge_method: Optional[str] = Query(None)
):
"""OAuth 2.1 Authorization Endpoint - redirects to Clerk"""
logger.info(f"OAuth authorize request - client_id: {client_id}")
logger.info(f"Redirect URI: {redirect_uri}")
logger.info(f"State: {state}")
logger.info(f"PKCE Challenge: {bool(code_challenge)}")
try:
# Build callback URL with all necessary parameters
callback_url = f"{BASE_URL}/auth/callback"
callback_params = {
"client_id": client_id,
"redirect_uri": redirect_uri,
"state": state or "",
"scope": scope or "read search"
}
# Add PKCE parameters if present
if code_challenge:
callback_params["code_challenge"] = code_challenge
callback_params["code_challenge_method"] = code_challenge_method or "S256"
# Encode callback URL as redirect_url for Clerk
callback_with_params = f"{callback_url}?{urlencode(callback_params)}"
# Build Clerk sign-in URL - use yargimcp.com frontend for JWT token generation
clerk_params = {
"redirect_url": callback_with_params
}
# Use frontend sign-in page that handles JWT token generation
clerk_signin_url = f"https://yargimcp.com/sign-in?{urlencode(clerk_params)}"
logger.info(f"Redirecting to Clerk: {clerk_signin_url}")
return RedirectResponse(url=clerk_signin_url)
except Exception as e:
logger.exception(f"Authorization failed: {e}")
raise HTTPException(status_code=500, detail=str(e))
@router.get("/auth/callback")
async def oauth_callback(
request: Request,
client_id: str = Query(...),
redirect_uri: str = Query(...),
state: Optional[str] = Query(None),
scope: Optional[str] = Query("read search"),
code_challenge: Optional[str] = Query(None),
code_challenge_method: Optional[str] = Query(None),
clerk_token: Optional[str] = Query(None)
):
"""OAuth callback from Clerk - generates authorization code"""
logger.info(f"OAuth callback - client_id: {client_id}")
logger.info(f"Clerk token provided: {bool(clerk_token)}")
try:
# Validate user with Clerk and generate real JWT token
user_authenticated = False
user_id = None
session_id = None
real_jwt_token = None
if clerk_token and CLERK_AVAILABLE:
try:
# Extract user info from JWT token (no Clerk session verification needed)
import jwt
decoded_token = jwt.decode(clerk_token, options={"verify_signature": False})
user_id = decoded_token.get("user_id") or decoded_token.get("sub")
user_email = decoded_token.get("email")
token_scopes = decoded_token.get("scopes", ["read", "search"])
logger.info(f"JWT token claims - user_id: {user_id}, email: {user_email}, scopes: {token_scopes}")
if user_id and user_email:
# JWT token is already signed by Clerk and contains valid user info
user_authenticated = True
logger.info(f"User authenticated via JWT token - user_id: {user_id}")
# Use the JWT token directly as the real token (it's already from Clerk template)
real_jwt_token = clerk_token
logger.info("Using Clerk JWT token directly (already real token)")
else:
logger.error(f"Missing required fields in JWT token - user_id: {bool(user_id)}, email: {bool(user_email)}")
except Exception as e:
logger.error(f"JWT validation failed: {e}")
# Fallback to cookie validation
if not user_authenticated:
clerk_session = request.cookies.get("__session")
if clerk_session:
user_authenticated = True
logger.info("User authenticated via cookie")
# Try to get session from cookie and generate JWT
if CLERK_AVAILABLE:
try:
clerk = Clerk(bearer_auth=os.getenv("CLERK_SECRET_KEY"))
# Note: sessions.verify_session is deprecated, but we'll try
# In practice, you'd need to extract session_id from cookie
logger.info("Cookie authentication - JWT generation not implemented yet")
except Exception as e:
logger.warning(f"Failed to generate JWT from cookie: {e}")
# Only generate authorization code if we have a real JWT token
if user_authenticated and real_jwt_token:
# Generate authorization code
auth_code = f"clerk_auth_{os.urandom(16).hex()}"
# Prepare code data
import time
code_data = {
"user_id": user_id,
"session_id": session_id,
"real_jwt_token": real_jwt_token,
"user_authenticated": user_authenticated,
"client_id": client_id,
"redirect_uri": redirect_uri,
"scope": scope or "read search"
}
# Try to store in Redis, fall back to in-memory if Redis unavailable
store = get_redis_session_store()
if store:
# Store in Redis with automatic expiration
success = store.set_oauth_code(auth_code, code_data)
if success:
logger.info(f"Stored authorization code {auth_code[:10]}... in Redis with real JWT token")
else:
logger.error(f"Failed to store authorization code in Redis, falling back to in-memory")
# Fall back to in-memory storage
if not hasattr(oauth_callback, '_code_storage'):
oauth_callback._code_storage = {}
oauth_callback._code_storage[auth_code] = code_data
else:
# Fall back to in-memory storage
logger.warning("Redis not available, using in-memory storage")
if not hasattr(oauth_callback, '_code_storage'):
oauth_callback._code_storage = {}
oauth_callback._code_storage[auth_code] = code_data
logger.info(f"Stored authorization code in memory (fallback)")
# Redirect back to client with authorization code
redirect_params = {
"code": auth_code,
"state": state or ""
}
final_redirect_url = f"{redirect_uri}?{urlencode(redirect_params)}"
logger.info(f"Redirecting back to client: {final_redirect_url}")
return RedirectResponse(url=final_redirect_url)
else:
# No JWT token yet - redirect back to sign-in page to wait for authentication
logger.info("No JWT token provided - redirecting back to sign-in to complete authentication")
# Keep the same redirect URL so the flow continues
sign_in_params = {
"redirect_url": f"{request.url._url}" # Current callback URL with all params
}
sign_in_url = f"https://yargimcp.com/sign-in?{urlencode(sign_in_params)}"
logger.info(f"Redirecting back to sign-in: {sign_in_url}")
return RedirectResponse(url=sign_in_url)
except Exception as e:
logger.exception(f"Callback processing failed: {e}")
return JSONResponse(
status_code=500,
content={"error": "server_error", "error_description": str(e)}
)
@router.post("/auth/register")
async def register_client(request: Request):
"""Dynamic Client Registration (RFC 7591)"""
data = await request.json()
logger.info(f"Client registration request: {data}")
# Simple dynamic registration - accept any client
client_id = f"mcp-client-{os.urandom(8).hex()}"
return JSONResponse({
"client_id": client_id,
"client_secret": None, # Public client
"redirect_uris": data.get("redirect_uris", []),
"grant_types": ["authorization_code"],
"response_types": ["code"],
"client_name": data.get("client_name", "MCP Client"),
"token_endpoint_auth_method": "none"
})
@router.post("/auth/callback")
async def oauth_callback_post(request: Request):
"""OAuth callback POST endpoint for token exchange"""
# Parse form data (standard OAuth token exchange format)
form_data = await request.form()
grant_type = form_data.get("grant_type")
code = form_data.get("code")
redirect_uri = form_data.get("redirect_uri")
client_id = form_data.get("client_id")
code_verifier = form_data.get("code_verifier")
logger.info(f"OAuth callback POST - grant_type: {grant_type}")
logger.info(f"Code: {code[:20] if code else 'None'}...")
logger.info(f"Client ID: {client_id}")
logger.info(f"PKCE verifier: {bool(code_verifier)}")
if grant_type != "authorization_code":
return JSONResponse(
status_code=400,
content={"error": "unsupported_grant_type"}
)
if not code or not redirect_uri:
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "Missing code or redirect_uri"}
)
try:
# Validate authorization code
if not code.startswith("clerk_auth_"):
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Invalid authorization code"}
)
# Retrieve stored JWT token using authorization code from Redis or in-memory fallback
stored_code_data = None
# Try to get from Redis first, then fall back to in-memory
store = get_redis_session_store()
if store:
stored_code_data = store.get_oauth_code(code, delete_after_use=True)
if stored_code_data:
logger.info(f"Retrieved authorization code {code[:10]}... from Redis")
else:
logger.warning(f"Authorization code {code[:10]}... not found in Redis")
# Fall back to in-memory storage if Redis unavailable or code not found
if not stored_code_data and hasattr(oauth_callback, '_code_storage'):
stored_code_data = oauth_callback._code_storage.get(code)
if stored_code_data:
# Clean up in-memory storage
oauth_callback._code_storage.pop(code, None)
logger.info(f"Retrieved authorization code {code[:10]}... from in-memory storage")
if not stored_code_data:
logger.error(f"No stored data found for authorization code: {code}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Authorization code not found or expired"}
)
# Note: Redis TTL handles expiration automatically, but check for manual expiration for in-memory fallback
import time
expires_at = stored_code_data.get("expires_at", 0)
if expires_at and time.time() > expires_at:
logger.error(f"Authorization code expired: {code}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Authorization code expired"}
)
# Get the real JWT token
real_jwt_token = stored_code_data.get("real_jwt_token")
if real_jwt_token:
logger.info("Returning real Clerk JWT token")
# Note: Code already deleted from Redis, clean up in-memory fallback if used
if hasattr(oauth_callback, '_code_storage'):
oauth_callback._code_storage.pop(code, None)
return JSONResponse({
"access_token": real_jwt_token,
"token_type": "Bearer",
"expires_in": 3600,
"scope": "read search"
})
else:
logger.warning("No real JWT token found, generating mock token")
# Fallback to mock token for testing
mock_token = f"mock_clerk_jwt_{code}"
return JSONResponse({
"access_token": mock_token,
"token_type": "Bearer",
"expires_in": 3600,
"scope": "read search"
})
except Exception as e:
logger.exception(f"OAuth callback POST failed: {e}")
return JSONResponse(
status_code=500,
content={"error": "server_error", "error_description": str(e)}
)
@router.post("/register")
async def register_client(request: Request):
"""Dynamic Client Registration (RFC 7591)"""
data = await request.json()
logger.info(f"Client registration request: {data}")
# Simple dynamic registration - accept any client
client_id = f"mcp-client-{os.urandom(8).hex()}"
return JSONResponse({
"client_id": client_id,
"client_secret": None, # Public client
"redirect_uris": data.get("redirect_uris", []),
"grant_types": ["authorization_code"],
"response_types": ["code"],
"client_name": data.get("client_name", "MCP Client"),
"token_endpoint_auth_method": "none"
})
@router.post("/token")
async def token_endpoint(request: Request):
"""OAuth 2.1 Token Endpoint - exchanges code for Clerk JWT"""
# Parse form data
form_data = await request.form()
grant_type = form_data.get("grant_type")
code = form_data.get("code")
redirect_uri = form_data.get("redirect_uri")
client_id = form_data.get("client_id")
code_verifier = form_data.get("code_verifier")
logger.info(f"Token exchange - grant_type: {grant_type}")
logger.info(f"Code: {code[:20] if code else 'None'}...")
if grant_type != "authorization_code":
return JSONResponse(
status_code=400,
content={"error": "unsupported_grant_type"}
)
if not code or not redirect_uri:
return JSONResponse(
status_code=400,
content={"error": "invalid_request", "error_description": "Missing code or redirect_uri"}
)
try:
# Validate authorization code
if not code.startswith("clerk_auth_"):
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Invalid authorization code"}
)
# Retrieve stored JWT token using authorization code from Redis or in-memory fallback
stored_code_data = None
# Try to get from Redis first, then fall back to in-memory
store = get_redis_session_store()
if store:
stored_code_data = store.get_oauth_code(code, delete_after_use=True)
if stored_code_data:
logger.info(f"Retrieved authorization code {code[:10]}... from Redis (/token endpoint)")
else:
logger.warning(f"Authorization code {code[:10]}... not found in Redis (/token endpoint)")
# Fall back to in-memory storage if Redis unavailable or code not found
if not stored_code_data and hasattr(oauth_callback, '_code_storage'):
stored_code_data = oauth_callback._code_storage.get(code)
if stored_code_data:
# Clean up in-memory storage
oauth_callback._code_storage.pop(code, None)
logger.info(f"Retrieved authorization code {code[:10]}... from in-memory storage (/token endpoint)")
if not stored_code_data:
logger.error(f"No stored data found for authorization code: {code}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Authorization code not found or expired"}
)
# Note: Redis TTL handles expiration automatically, but check for manual expiration for in-memory fallback
import time
expires_at = stored_code_data.get("expires_at", 0)
if expires_at and time.time() > expires_at:
logger.error(f"Authorization code expired: {code}")
return JSONResponse(
status_code=400,
content={"error": "invalid_grant", "error_description": "Authorization code expired"}
)
# Get the real JWT token
real_jwt_token = stored_code_data.get("real_jwt_token")
if real_jwt_token:
logger.info("Returning real Clerk JWT token from /token endpoint")
# Note: Code already deleted from Redis, clean up in-memory fallback if used
if hasattr(oauth_callback, '_code_storage'):
oauth_callback._code_storage.pop(code, None)
return JSONResponse({
"access_token": real_jwt_token,
"token_type": "Bearer",
"expires_in": 3600,
"scope": "read search"
})
else:
logger.warning("No real JWT token found in /token endpoint, generating mock token")
# Fallback to mock token for testing
mock_token = f"mock_clerk_jwt_{code}"
return JSONResponse({
"access_token": mock_token,
"token_type": "Bearer",
"expires_in": 3600,
"scope": "read search"
})
except Exception as e:
logger.exception(f"Token exchange failed: {e}")
return JSONResponse(
status_code=500,
content={"error": "server_error", "error_description": str(e)}
)

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