Prediction Markets MCP Server

Overview

The prediction‑markets‑mcp server solves a common pain point for AI developers: accessing live, cross‑platform prediction market data through a single, predictable interface. Prediction markets—ranging from crypto‑based platforms like Polymarket to regulated US exchanges such as Kalshi and PredictIt—offer real‑time odds on future events. However, each platform exposes its own API quirks, data formats, and authentication mechanisms. This MCP server abstracts those differences, presenting a unified tool that returns consistent market information regardless of source.

For developers building AI assistants or data‑driven applications, this server is invaluable. It eliminates the need to write separate adapters for each market, reducing boilerplate and potential bugs. By exposing a single tool, the server allows AI agents to query current odds, prices, and market metadata with a simple keyword search. The results are formatted in plain text, making them ready for direct insertion into conversational responses or downstream analytics pipelines.

Key capabilities include:

• Multi‑platform support: Seamlessly query crypto, traditional, and regulated markets in one call.
• Real‑time data retrieval: Pull the latest odds or prices, ensuring AI responses reflect current market sentiment.
• Keyword filtering: Narrow results to topics of interest (e.g., “trump”, “election”) without requiring manual pagination.
• Consistent output: Despite differing source APIs, the server normalizes data into a uniform text structure.
• Robust error handling: Network hiccups or API failures are caught and reported gracefully, keeping AI workflows stable.
• Type safety: Full TypeScript definitions guarantee compile‑time correctness for developers extending the server.

Real‑world scenarios that benefit from this MCP include: a political analysis assistant that fetches live market odds on upcoming elections; a financial bot that monitors betting markets for arbitrage opportunities; or a research platform that aggregates public sentiment across multiple prediction exchanges. By integrating this server into an MCP‑compatible workflow, developers can focus on building higher‑level logic while trusting that market data is accurate, timely, and uniformly formatted.