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History of SEC Intelligence

io.github.jahanv01/sec-intelligence-mcp · Registry status: active

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Every published change to this entry, most recent first.

Changes
2026-09-13Declared version: – → 0.1.1
2026-09-13Repository URL listed: – → yes
2026-09-13Path argument present: – → no
2026-09-13Execution location: – → local
2026-09-13Required secrets declared: – → yes
2026-09-13Description (raw): – → SEC 10-K/10-Q/8-K search, RAG Q&A, comparison, and anomaly detection with citations.
2026-09-13Last changed in the registry (raw): – → 2026-09-12
2026-09-13First listed in the registry (raw): – → 2026-09-12
2026-09-13Registry status message (raw): – → –
2026-09-13Schema version of the raw record (raw): – → https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json
2026-09-13Icon formats (raw): – → –
2026-09-13Environment variable descriptions (raw): – → EMBEDDING_MODEL=sentence-transformers model for embeddings · GEMINI_API_KEY=Google Gemini API key (free tier). Get one at https://aistudio.google.com/apikey · GEMINI_MODEL=Gemini model for answer generation · LANGFUSE_PUBLIC_KEY=LangFuse public key, paired with LANGFUSE_SECRET_KEY · LANGFUSE_SECRET_KEY=LangFuse secret key for observability (free tier). Get one at https://cloud.langfuse.com · QDRANT_API_KEY=Only needed for a hosted Qdrant Cloud instance; leave unset for local Qdrant · QDRANT_URL=Qdrant vector database URL, e.g. http://localhost:6333 for local Docker, or a Qdrant Cloud cluster URL · SEC_EDGAR_USER_AGENT=Identifying User-Agent for SEC EDGAR requests, e.g. "YourApp you@email.com"
2026-09-13Environment variable formats (raw): – → –
2026-09-13Delivery form (raw): – → package
2026-09-13Remote hosts (raw): – → –
2026-09-13Connection paths (source structure): – → {"packages":[{"registryType":"pypi","identifier":"sec-intelligence-mcp","version":"0.1.1","runtimeHint":"uvx","transport":"stdio","environment":[{"name":"GEMINI_API_KEY","description":"Google Gemini API key (free tier). Get one at https://aistudio.google.com/apikey","required":true,"secret":true},{"name":"QDRANT_URL","description":"Qdrant vector database URL, e.g. http://localhost:6333 for local Docker, or a Qdrant Cloud cluster URL","required":true,"secret":false},{"name":"QDRANT_API_KEY","description":"Only needed for a hosted Qdrant Cloud instance; leave unset for local Qdrant","required":false,"secret":true},{"name":"LANGFUSE_SECRET_KEY","description":"LangFuse secret key for observability (free tier). Get one at https://cloud.langfuse.com","required":true,"secret":true},{"name":"LANGFUSE_PUBLIC_KEY","description":"LangFuse public key, paired with LANGFUSE_SECRET_KEY","required":true,"secret":false},{"name":"SEC_EDGAR_USER_AGENT","description":"Identifying User-Agent for SEC EDGAR requests, e.g. \"YourApp you@email.com\"","required":false,"secret":false},{"name":"EMBEDDING_MODEL","description":"sentence-transformers model for embeddings","required":false,"secret":false},{"name":"GEMINI_MODEL","description":"Gemini model for answer generation","required":false,"secret":false}],"additional_arguments_declared":false}],"remotes":[]}
2026-09-13Remote URLs (raw): – → –
2026-09-13Runtime hints (raw): – → uvx
2026-09-13Package versions (raw): – → 0.1.1
2026-09-13Package identifiers (raw): – → sec-intelligence-mcp
2026-09-13Package registries (raw): – → pypi
2026-09-13Repository subfolder (raw): – → –
2026-09-13Repository platform (raw): – → github
2026-09-13Repository (raw): – → https://github.com/jahanv01/sec-intelligence-mcp
2026-09-13Path environment variables (raw): – → –
2026-09-13Path arguments (raw): – → –
2026-09-13Transports (raw): – → stdio
2026-09-13Required secret headers (raw): – → –
2026-09-13Required secret variables (raw): – → GEMINI_API_KEY, LANGFUSE_SECRET_KEY
2026-09-13Environment variables (raw): – → GEMINI_API_KEY, QDRANT_URL, QDRANT_API_KEY, LANGFUSE_SECRET_KEY, LANGFUSE_PUBLIC_KEY, SEC_EDGAR_USER_AGENT, EMBEDDING_MODEL, GEMINI_MODEL

tracevero · https://tracevero.com/mcp/io-github-jahanv01-sec-intelligence-mcp/aenderungen