JamesANZ/prediction-market-mcp
by Various
A simple MCP server that grabs prediction market data from polymarket, PredictIt, & Kalshi.
MCP
JamesANZ/prediction-market-mcp
Added 1 June 2026
Overview
A lightweight MCP server that fetches real-time prediction market data from Polymarket, PredictIt, and Kalshi. It exposes structured market information through the Model Context Protocol for use by AI agents and developer tools.
Best for
Best for
Developers building AI agents that need live prediction market odds without writing custom scrapers.
Use cases
- Query current odds and volumes across multiple prediction markets
- Integrate market data into AI agents for research or analysis
- Compare contract prices between Polymarket, PredictIt, and Kalshi
Notes
A lightweight MCP server that fetches real-time prediction market data from Polymarket, PredictIt, and Kalshi. It exposes structured market information through the Model Context Protocol for use by AI agents and developer tools.
34 stars on GitHub. Last updated 2026-01-16. Licensed MIT.
Use cases
- Query current odds and volumes across multiple prediction markets
- Integrate market data into AI agents for research or analysis
- Compare contract prices between Polymarket, PredictIt, and Kalshi
Pros
- Simple setup with a single MCP server configuration
- Covers three major prediction market platforms
- Written in TypeScript with clear, minimal codebase
Cons
- Limited to read-only data retrieval, no trading or order placement
- Small community with only 34 stars and likely minimal maintenance
- No built-in caching or rate limiting for high-frequency queries
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simple setup with a single MCP server configuration
- Covers three major prediction market platforms
- Written in TypeScript with clear, minimal codebase
Cons
- Limited to read-only data retrieval, no trading or order placement
- Small community with only 34 stars and likely minimal maintenance
- No built-in caching or rate limiting for high-frequency queries
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.