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SEC Intelligence MCP Server

local only

SEC Intelligence runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 12 Sep 2026.

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

Installs / week
pypi · sec-intelligence-mcp
1
Stars
0 open issues
12 Sep 2026
Last commit
no recent releases
MIT
License
Python

Nothing serious here today

Today is the operative word: we check SEC Intelligence every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add sec-intelligence-mcp -- uvx sec-intelligence-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "args": [
        "sec-intelligence-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.sec-intelligence-mcp]
command = "uvx"
args = ["sec-intelligence-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "args": [
        "sec-intelligence-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "sec-intelligence-mcp": {
      "args": [
        "sec-intelligence-mcp"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: GEMINI_API_KEY (Google Gemini API key (free tier). Get one at https://aistudio.google.com/apikey), QDRANT_URL (Qdrant vector database URL, e.g. http://localhost:6333 for local Docker, or a Qdrant Cloud cluster URL), QDRANT_API_KEY (Only needed for a hosted Qdrant Cloud instance; leave unset for local Qdrant), LANGFUSE_SECRET_KEY (LangFuse secret key for observability (free tier). Get one at https://cloud.langfuse.com), LANGFUSE_PUBLIC_KEY (LangFuse public key, paired with LANGFUSE_SECRET_KEY), SEC_EDGAR_USER_AGENT (Identifying User-Agent for SEC EDGAR requests, e.g. "YourApp [email protected]"), EMBEDDING_MODEL (sentence-transformers model for embeddings), GEMINI_MODEL (Gemini model for answer generation). The author declared them in the registry entry; get the values from the project itself.

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SEC Intelligence — questions

Answers built from our own checks of this server.

Why is there no uptime for SEC Intelligence?
SEC Intelligence runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package sec-intelligence-mcp.
How do I connect SEC Intelligence?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls sec-intelligence-mcp straight from pypi; nothing to host, nothing to sign up for.
Is SEC Intelligence open source?
Yes — it is published under the MIT licence, written in Python and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.