Stockscreen (Yahoo Finance)

This StockScreen MCP server, developed by Todd Wolven, provides AI assistants with advanced stock screening capabilities using data from Yahoo Finance. Built with Python and leveraging libraries like yfinance and pandas, it offers a flexible interface for technical, fundamental, and options-based stock analysis. The server implements customizable screening criteria, watchlist management, and result storage functionalities. It's designed to handle various market cap categories and ETFs, with robust error handling and rate limiting. This implementation is particularly valuable for financial analysts, algorithmic traders, and AI researchers working on quantitative finance applications, enabling use cases such as automated trading strategy development, portfolio optimization, and market trend analysis.

Source

Repository: https://github.com/twolven/mcp-stockscreen