plainyogurt21-sec-edgar-mcp
MCP ServerProvide AI assistants with real-time access to official SEC EDGAR filings and financial data. Enab…
Install
claude mcp add --transport http plainyogurt21-sec-edgar-mcp https://server.smithery.ai/@plainyogurt21/sec-edgar-mcp/mcpWhat is plainyogurt21-sec-edgar-mcp?
Provide AI assistants with real-time access to official SEC EDGAR filings and financial data. Enab…
Trust
61/100 · Good4 factors scored below maximum
Documentation
README · ~4 min readSEC EDGAR MCP
https://github.com/user-attachments/assets/d310eb42-b3ca-467d-92f7-7d132e6274fe
[!IMPORTANT] EDGAR® and SEC® are trademarks of the U.S. Securities and Exchange Commission. This open-source project is not affiliated with or approved by the U.S. Securities and Exchange Commission.
Introduction 📣
SEC EDGAR MCP is an open-source MCP server that connects AI models to the rich dataset of SEC EDGAR filings. EDGAR (Electronic Data Gathering, Analysis, and Retrieval) is the U.S. SEC's primary system for companies to submit official filings. It contains millions of filings and "increases the efficiency, transparency, and fairness of the securities markets" by providing free public access to corporate financial information. This project makes that trove of public company data accessible to AI assistants (LLMs) for financial research, investment insights, and corporate transparency use cases.
Using the Model Context Protocol (MCP) – an open standard that "enables seamless integration between LLM applications and external data sources and tools" – the SEC EDGAR MCP server exposes a comprehensive set of tools for accessing SEC filing data. Under the hood, it leverages the EdgarTools Python library to fetch data from official SEC sources and performs direct XBRL parsing for exact financial precision. This means an AI agent can ask questions like "What's the latest 10-K filing for Apple?" or "Show me Tesla's exact revenue from their latest 10-K" and the MCP server will retrieve the answer directly from EDGAR's official data with complete accuracy and filing references.
[!TIP] If you use this software, please cite it following CITATION.cff, or the following APA entry:
Amorelli, Stefano (2025). SEC EDGAR MCP (Model Context Protocol) Server [Computer software]. GitHub. https://github.com/stefanoamorelli/sec-edgar-mcp
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