PluginBench
MCP Server
Active
MIT

SEC Intelligence MCP Server

io.github.jahanv01/sec-intelligence-mcp

What is the SEC Intelligence MCP server?

SEC 10-K/10-Q/8-K search, RAG Q&A, comparison, and anomaly detection with citations.

How to install SEC Intelligence

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • GEMINI_API_KEY
    required
    secret

    Google Gemini API key (free tier). Get one at https://aistudio.google.com/apikey

  • QDRANT_URL
    required

    Qdrant vector database URL, e.g. http://localhost:6333 for local Docker, or a Qdrant Cloud cluster URL

  • QDRANT_API_KEY
    secret

    Only needed for a hosted Qdrant Cloud instance; leave unset for local Qdrant

  • LANGFUSE_SECRET_KEY
    required
    secret

    LangFuse secret key for observability (free tier). Get one at https://cloud.langfuse.com

  • LANGFUSE_PUBLIC_KEY
    required

    LangFuse public key, paired with LANGFUSE_SECRET_KEY

  • SEC_EDGAR_USER_AGENT

    Identifying User-Agent for SEC EDGAR requests, e.g. "YourApp you@email.com"

  • EMBEDDING_MODEL

    sentence-transformers model for embeddings

  • GEMINI_MODEL

    Gemini model for answer generation

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "command": "uvx",
      "args": [
        "sec-intelligence-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>",
        "QDRANT_URL": "<YOUR_QDRANT_URL>",
        "QDRANT_API_KEY": "<YOUR_QDRANT_API_KEY>",
        "LANGFUSE_SECRET_KEY": "<YOUR_LANGFUSE_SECRET_KEY>",
        "LANGFUSE_PUBLIC_KEY": "<YOUR_LANGFUSE_PUBLIC_KEY>",
        "SEC_EDGAR_USER_AGENT": "<YOUR_SEC_EDGAR_USER_AGENT>",
        "EMBEDDING_MODEL": "<YOUR_EMBEDDING_MODEL>",
        "GEMINI_MODEL": "<YOUR_GEMINI_MODEL>"
      }
    }
  }
}

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