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Raw values for SEC Intelligence

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

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What the source declared verbatim, unchanged and uninterpreted. The derived values on the overview page are computed from these.

Evidence for this page · Source: MCP-Register · collected on 2026-09-13

Every value below comes from it. Where one differs, its origin is stated on its row.

Raw values
Description (raw)SEC 10-K/10-Q/8-K search, RAG Q&A, comparison, and anomaly detection with citations.
Environment variables (raw)GEMINI_API_KEY, QDRANT_URL, QDRANT_API_KEY, LANGFUSE_SECRET_KEY, LANGFUSE_PUBLIC_KEY, SEC_EDGAR_USER_AGENT, EMBEDDING_MODEL, GEMINI_MODEL
Required secret variables (raw)GEMINI_API_KEY, LANGFUSE_SECRET_KEY
Transports (raw)stdio
Path arguments (raw)confirmed absent
Repository (raw)https://github.com/jahanv01/sec-intelligence-mcp
Package registries (raw)pypi
Required secret headers (raw)confirmed absent
Path environment variables (raw)confirmed absent
Remote URLs (raw)confirmed absent
Remote hosts (raw)confirmed absent
Registry status message (raw)confirmed absent
First listed in the registry (raw)2026-09-12
Last changed in the registry (raw)2026-09-12
Schema version of the raw record (raw)https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json
Delivery form (raw)package
Repository platform (raw)github
Repository subfolder (raw)confirmed absent
Package identifiers (raw)sec-intelligence-mcp
Package versions (raw)0.1.1
Runtime hints (raw)uvx
Environment variable formats (raw)confirmed absent
Environment 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"
Icon formats (raw)confirmed absent
Connection 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":[]}

Position within the directory

How many of the 41,867 published entries carry the same measured value. A reference figure, not an assessment.

All 4 values together are carried by 3,552 of 41,867 entries.

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