An MCP server that provides hybrid search over Confluent support articles and lets AI assistants save solved problems back into the knowledge base.
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Limited view: static analysis for Python is partially covered.
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EMBED_MODELqwen3-embedding:0.6b Dense embeddings. Always local.QDRANT_HOST/ QDRANT_PORT localhost / 6333 (docker) host → qdrantQDRANT_PORTQDRANT_HOST / localhost / 6333 (docker) host → qdrantQDRANT_COLLECTIONconfluent_supportMCP_HOST/ MCP_PORT 127.0.0.1 / 8000 (docker) → 0.0.0.0, which lets other containers reach itMCP_PORTMCP_HOST / 127.0.0.1 / 8000 (docker) → 0.0.0.0, which lets other containers reach itMCP_AUTH_ENABLEDCompany-only sign-in =true + all the AZURE_... vars + PUBLIC_MCP_URL + ALLOWED_EMAIL_DOMAINSAZURE_CLIENT_IDIdentifies this app. Public. Tokens are checked to have been issued for this ID, so one meant for another app can't be replayed.AZURE_CLIENT_SECRETThe app's password, proving to Microsoft that requests claiming to be this app really are. Keep secret.AZURE_TENANT_IDWhich Entra directory may issue tokens. The outer gate: outsiders are rejected by Microsoft before reaching your server.AZURE_API_SCOPEaccess Must match the scope you exposed in EntraAZURE_TOKEN_ISSUER(blank) Only if the app still issues v1.0 tokensPUBLIC_MCP_URLCompany-only sign-in MCP_AUTH_ENABLED=true + all the AZURE_... vars + + ALLOWED_EMAIL_DOMAINSALLOWED_EMAIL_DOMAINSCompany-only sign-in MCP_AUTH_ENABLED=true + all the AZURE_... vars + PUBLIC_MCP_URL +ALLOWED_EMAILSset? → address must be on that exact listMCP_JWT_SIGNING_KEYNot about Microsoft. Signs the server's own session tokens. Leave it blank and a random one is generated at every startup, logging everyone out on each restart.FASTEMBED_CACHE_DIR./model_cache (docker) → the mounted volumeOLLAMA_HOSTTOP_K_RESULTS5 Default results per searchRERANK_MIN_SCORE│ → sort by score → drop below → keep top_kCHUNK_SIZE300 Target words per chunkSUPPORT_BASE_URLScrape fails naming a URL with no protocol is blank in .env. A blank value overrides the script's fallback rather than deferring to it.SUPPORT_CATEGORY_IDS360004404872,360005831891,360005822052SUPPORT_COOKIETo build the knowledge base . The other two scrape values ship pre-filled, see Step 3INFERENCE_MODELgemma4:31b orchestrator.py chat only.OLLAMA_API_KEYCloud inference in orchestrator.pyTool annotations
3/6 tools have annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
3/6 tools missing one or more hints — confluent_search_documents (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); confluent_search_official_articles (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); confluent_search_saved_conversations (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
5/6 tool handlers declare input schemas (83%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
3/6 tool handlers wrap calls in try/catch (50%)
Wrap each tool handler body in try/catch and return a structured error response.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
Tests exist
No test files found
Add tests that exercise each declared tool.
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