polymarket-mcp-server

Polymarket MCP Server implements the Model Context Protocol (MCP) to provide AI agents with structured access to Polymarket data and trading capabilities. The server exposes tools and resources that LLM-based agents can use to query market data, monitor real-time price movements, and execute analysis tasks. This bridges the gap between AI assistants and prediction markets, enabling automated research and decision support. The Python implementation uses FastAPI for the server infrastructure with WebSocket support for real-time data streaming. The codebase includes comprehensive API endpoints for market data, historical analysis, and agent configuration. The project has been actively maintained since 2021 with 4 stars, indicating steady but niche interest. The MCP integration is forward-looking as AI agent capabilities continue to expand. The README provides clear documentation for setup, available tools, and example agent configurations. For developers building AI trading agents or decision support systems, this repository provides essential infrastructure for Polymarket data access. The server architecture supports extensibility, allowing custom tools and analysis modules to be added. Code quality is solid with proper error handling, logging, and configuration management. Recommended for cloning by developers interested in AI-driven prediction market analysis or building LLM-powered trading assistants.