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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.
🏛️ 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.
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.
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.
AI-powered autonomous equity research agent. Multi-source analysis (Yahoo Finance, SEC 10-K, Reddit, news) with LangGraph orchestration, hybrid RAG, and real-time market data. Generates professional research reports via Telegram bot or REST API. Deployed on Azure Container Apps.
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.
A sophisticated AI-powered tool for analyzing S-1 IPO filings using Google's Gemini AI. This application provides comprehensive financial analysis, data extraction, and interactive Q&A capabilities for SEC S-1 documents.
Track insider trades and political stock transactions in real-time. Monitor SEC filings, analyze patterns, and get AI-powered insights on market-moving trades.