Create a Stock Screener with MCP Servers in Minutes

Learn how to build a stock screener using Financial Modeling Prep's MCP Server and the Model Context Protocol. The tutorial demonstrates fetching structured financial data through a unified interface, filtering stocks based on metrics like P/E ratio and debt-to-equity, and implementing the screener in Python with pandas. Setup involves either using Cursor IDE or running a local Docker container, with the MCP server providing clean JSON responses without managing multiple API endpoints or authentication.