A SEC EDGAR MCP (Model Context Protocol) Server
# Add to your Claude Code skills
git clone https://github.com/stefanoamorelli/sec-edgar-mcpGuides for using mcp servers skills like sec-edgar-mcp.
Last scanned: 5/30/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-30T15:13:16.447Z",
"npmAuditRan": true,
"pipAuditRan": true
}sec-edgar-mcp is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by stefanoamorelli. A SEC EDGAR MCP (Model Context Protocol) Server. It has 350 GitHub stars.
Yes. sec-edgar-mcp passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/stefanoamorelli/sec-edgar-mcp" and add it to your Claude Code skills directory (see the Installation section above).
sec-edgar-mcp is primarily written in Python. It is open-source under stefanoamorelli on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh sec-edgar-mcp against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
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 sec-edgar-toolkit.
https://github.com/user-attachments/assets/d310eb42-b3ca-467d-92f7-7d132e6274fe
[!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.
{
"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, uv), see the documentation.
| Category | Tools |
|---|---|
| Company | CIK lookup, company info, company facts |
| Filings | 10-K, 10-Q, 8-K retrieval, section extraction |
| Financials | Balance sheet, income statement, cash flow (XBRL-parsed) |
| Insider Trading | Form 3/4/5 transactions |
All responses include SEC filing URLs for verification.
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.
Promptfoo-based test suite. See evals/ for details.
cd evals && npm install && npm run eval
Full docs: sec-edgar-mcp.amorelli.tech
If you use this software in research, please cite it:
@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.
AGPL-3.0. For commercial licensing: stefano@amorelli.tech