PolyMarket MCP Server

what is PolyMarket MCP Server? PolyMarket MCP Server is a Model Context Protocol (MCP) server that provides access to prediction market data through the PolyMarket API, allowing users to retrieve market information, prices, and historical data. how to use PolyMarket MCP Server? To use the PolyMarket MCP Server, install it via Smithery or clone the repository, install dependencies, and run the server with your PolyMarket API key configured in a .env file. key features of PolyMarket MCP Server? Real-time prediction market data with current prices and probabilities Detailed market information including categories, resolution dates, and descriptions Historical price and volume data with customizable timeframes Built-in error handling and rate limit management Clean data formatting for easy consumption use cases of PolyMarket MCP Server? Accessing real-time market data for analysis Building applications that require prediction market insights Conducting research on market trends and probabilities FAQ from PolyMarket MCP Server? What programming language is used for the server? The server is built using Python. Is there a limit on the number of requests? Yes, the server implements rate limiting to manage API requests. Can I contribute to the project? Yes! Contributions are welcome, and you can submit a Pull Request.

As an MCP (Model Context Protocol) server, PolyMarket MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the PolyMarket MCP Server, install it via Smithery or clone the repository, install dependencies, and run the server with your PolyMarket API key configured in a .env file. key features of PolyMarket MCP Server? Real-time prediction market data with current prices and probabilities Detailed market information including categories, resolution dates, and descriptions Historical price and volume data with customizable timeframes Built-in error handling and rate limit management Clean data formatting for easy consumption use cases of PolyMarket MCP Server? Accessing real-time market data for analysis Building applications that require prediction market insights Conducting research on market trends and probabilities FAQ from PolyMarket MCP Server? What programming language is used for the server? The server is built using Python. Is there a limit on the number of requests? Yes, the server implements rate limiting to manage API requests. Can I contribute to the project? Yes! Contributions are welcome, and you can submit a Pull Request.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.