Connects AI models to SEC EDGAR filings through an open-source MCP server, enabling financial research and insights.
Sponsored
SEC Edgar is an open-source server that allows AI models to access the SEC EDGAR database, the U.S. Securities and Exchange Commission's system for company filings. Leveraging the Model Context Protocol (MCP) and the Python secedgar SDK, it exposes tools for retrieving company filings and financial data, facilitating financial research, investment analysis, and corporate transparency for AI assistants.
Key Features
01Leverages the secedgar Python SDK for efficient API interaction.
02Uses the Model Context Protocol (MCP) for seamless integration with AI models.
03Offers tools for retrieving company submissions, financial concepts, and XBRL data.
04Supports querying financial data using natural language through connected AI assistants.
05Provides real-time access to SEC EDGAR data.
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Use Cases
01Financial research and analysis using AI models.
02Automated retrieval of company filings and financial metrics.
03Generating investment insights based on SEC data.
