PolyMarket MCP Server

Overview

The PolyMarket MCP Server bridges the gap between AI assistants and real‑time prediction market data. By exposing a standard Model Context Protocol interface, it lets Claude or other MCP‑compatible assistants retrieve market information, current prices, and historical trends directly from the PolyMarket API. This eliminates the need for developers to write custom wrappers or manage authentication tokens, enabling rapid integration of market insights into conversational workflows.

What Problem It Solves

Prediction markets are a powerful source of crowd‑sourced probabilistic forecasts, yet accessing them programmatically requires handling API keys, rate limits, and data normalization. The PolyMarket MCP Server abstracts these complexities into a single, well‑defined toolset. Developers can query market states or historical performance without worrying about API pagination or error handling, freeing them to focus on higher‑level logic and user experience.

Core Capabilities

• Real‑time market data: Fetch current prices, probabilities, and trading volume for any active market.
• Market metadata: Retrieve comprehensive details such as title, category, status, resolution date, and description.
• Historical analytics: Pull price and volume history over customizable timeframes (1 day, 7 days, 30 days, or all).
• Robust error handling: Built‑in retries and rate‑limit management protect against transient API failures.
• Clean, consumable JSON: The server returns data in a consistent structure that can be immediately parsed by an assistant’s response logic.

Real‑World Use Cases

• Forecasting assistants: An AI assistant can answer questions like “What is the current probability that Country X will win the next election?” by calling .
• Investment research: Portfolio managers can query multiple markets with to identify high‑liquidity opportunities.
• Educational tools: Students learning about probability can explore historical market data through and visualize trends.
• Risk management: Compliance teams can monitor closed or resolved markets for potential insider‑information risks.

Integration with AI Workflows

Once connected, the MCP server appears as a set of tools in the assistant’s toolkit. A developer can craft prompts that trigger these tools, then format the returned data into natural language responses or visual charts. Because the server adheres to MCP standards, any assistant that supports tool invocation can leverage PolyMarket data without bespoke code. This plug‑and‑play model accelerates feature rollouts and reduces maintenance overhead.

Unique Advantages

• Standardized MCP interface: Ensures compatibility across multiple assistants and future protocol upgrades.
• Comprehensive data coverage: From live prices to deep historical archives, all within a single server.
• Developer‑friendly error handling: Handles rate limits and transient failures automatically, reducing boilerplate.
• Open‑source foundation: The server’s codebase is publicly available, allowing teams to audit and extend the functionality as needed.

In summary, the PolyMarket MCP Server empowers developers to inject real‑world prediction market intelligence into AI assistants with minimal friction, unlocking new possibilities for forecasting, analysis, and education.