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>
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.
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>
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.
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>
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>
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>
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>
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>
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)
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.
- 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
- Add global _health_check_client variable for singleton pattern
- Define get_or_create_health_check_client() function for health checks
- Add cleanup for health check client in perform_cleanup()
Fixes Bedesten health check error: "name 'get_or_create_health_check_client' is not defined"
- Fixed 10 tools to avoid / patterns in JSON schemas
- All tools now return Dict[str, Any] with .model_dump() applied
- Affected tools:
* search_emsal_detailed_decisions
* get_emsal_document_markdown
* search_uyusmazlik_decisions
* get_uyusmazlik_document_markdown_from_url
* search_rekabet_kurumu_decisions
* get_rekabet_kurumu_document
* search_sayistay_unified
* get_sayistay_document_unified
* search_kvkk_decisions
* get_kvkk_document_markdown
- Gemini CLI should now be able to load and use all MCP tools without schema validation errors
Resolves 'cannot convert undefined or null to object' error in search_bedesten_unified
by adding proper null checking for response.data.emsalKararList and response.data.total
fields before accessing them.
- Add hasattr() and null checks for response.data fields
- Provide safe defaults: empty list for emsalKararList, 0 for total
- Prevents TypeError when API returns undefined/null fields
- Matches null safety pattern used in other search tools
- Disable issuer validation in BearerAuthProvider (issuer=None)
- Simplify authentication condition (remove auth_enabled check)
- Revert CORS middleware to simple configuration
- Fix OAuth metadata endpoint to match v0.1.6
- Apply conditional auth only to MCP server creation
Critical fixes for Claude AI tools discovery
- Remove Redis session store initialization from create_app()
- Revert to simple token counting middleware only
- Fix session management issue causing tools to appear then disappear
- This matches the exact v0.1.6 implementation that was working
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Revert asgi_app.py to v0.1.6 approach with path='/' for MCP app
- Fix uyusmazlik client: use individual httpx.AsyncClient instead of shared
- Fix health check: use individual httpx.AsyncClient instead of shared
- Remove shared_health_check_client that was causing connection drops
ab-ihsanoglu