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A free MCP server to analyze and extract insights from public filings, earnings transcripts, financial metrics, stock market data, private market transactions, and deep web-based research within Claude Desktop and other popular MCP clients.
EDGAR Analytics – Python Library for Extracting, Analyzing, and Forecasting SEC EDGAR Filings. Streamline your financial analysis with comprehensive metrics, growth rates, and automated reporting capabilities.
This project predicts corporate default probability using sentiment analysis of annual reports and financial data from U.S. companies. Key steps included data preprocessing, textual analysis, feature selection, and testing machine learning models. A Random Forest classifier was identified as the best model, trained, optimized, and exported for use.
AI agent toolkit for accessing and analyzing SEC EDGAR filing data. Build intelligent agents with LangChain, MCP-use, Gradio, Dify, and smolagents to analyze financial statements, insider trading, and company filings.
🏛️ Open-source toolkit for accessing SEC EDGAR financial data with Python and TypeScript/JavaScript SDKs. Features comprehensive parsing for 10-K, 10-Q, 8-K forms, XBRL financial data extraction, and real-time company filings retrieval.
Financial analysis automation tool that transforms SEC 10-K filing data into actionable investment insights. Interactive chatbot provides revenue analysis, growth trends, risk assessments, and portfolio recommendations for Microsoft, Apple, and Tesla through natural language queries.