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SEC EDGAR

A Model Context Protocol server that connects AI assistants to the SEC EDGAR database, providing structured access to corporate filings, financial statements, and insider trading data.

Stars
190
Forks
57
Updated
Dec 25, 2025
Validated
Jan 9, 2026

SEC EDGAR MCP

PyPI Conda Version Python: 3.11+ License: AGPL-3.0 Verified on MseeP DOI

MCP server for accessing SEC EDGAR filings. Connects AI assistants to company filings, financial statements, and insider trading data with exact numeric precision.

Built on edgartools.

https://github.com/user-attachments/assets/d310eb42-b3ca-467d-92f7-7d132e6274fe

See demo video

[!NOTE] This project is not affiliated with or endorsed by the U.S. Securities and Exchange Commission. EDGAR and SEC are trademarks of the SEC.

Quick Start

{
  "mcpServers": {
    "sec-edgar-mcp": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "SEC_EDGAR_USER_AGENT=Your Name (your@email.com)",
        "stefanoamorelli/sec-edgar-mcp:latest"
      ]
    }
  }
}

The -i flag is required for MCP's JSON-RPC communication.

For other installation methods (pip, conda, uv), see the documentation.

Tools

CategoryTools
CompanyCIK lookup, company info, company facts
Filings10-K, 10-Q, 8-K retrieval, section extraction
FinancialsBalance sheet, income statement, cash flow (XBRL-parsed)
Insider TradingForm 3/4/5 transactions

All responses include SEC filing URLs for verification.

HTTP Transport

For platforms like Dify, use streamable HTTP instead of stdio:

python -m sec_edgar_mcp.server --transport streamable-http --port 9870

No authentication is included. Use only on private networks.

Documentation

Full docs: sec-edgar-mcp.amorelli.tech

Contributors

Citation

If you use this software in research, please cite it:

DOI

@software{amorelli_sec_edgar_mcp_2025,
  title = {{SEC EDGAR MCP (Model Context Protocol) Server}},
  author = {Amorelli, Stefano},
  version = {1.0.6},
  year = {2025},
  month = {9},
  url = {https://doi.org/10.5281/zenodo.17123166},
  doi = {10.5281/zenodo.17123166}
}

See CITATION.cff for additional formats.

License

AGPL-3.0. For commercial licensing: stefano@amorelli.tech

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