SEC Edgar MCP is an open source Model Context Protocol server that connects AI assistants to filings on the U.S. Securities and Exchange Commission's EDGAR system. It lets a compatible client such as an AI chat app or coding agent query company filings in natural language and receive structured, referenced answers. The project states that it is not affiliated with or approved by the SEC.
The server uses the sec edgar toolkit Python library to fetch data from official SEC sources and parses XBRL directly, so financial figures are returned with exact precision and no rounding. Its tools cover company lookup by name, ticker or CIK number, access to annual, quarterly and current report filings such as Forms 10K, 10Q and 8K, extraction of financial statements, and monitoring of Form 3, 4 and 5 insider transaction filings. A dedicated tool converts ticker symbols to CIK numbers, which the documentation says makes later calls faster and more reliable.
It is aimed at investment researchers, financial analysts, compliance teams and anyone doing due diligence who wants an AI model to work from primary filings rather than from memory. The documentation lists investment research, financial analysis, compliance monitoring and due diligence as the main use cases.
Setup is through Docker or Python, with a quickstart and a platform by platform installation guide in the documentation. The project is open source and no pricing is published.
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