PolyMarket MCP Server

# PolyMarket MCP Server [](https://smithery.ai/server/polymarket_mcp) A Model Context Protocol (MCP) server that provides access to prediction market data through the PolyMarket API. This server implements a standardized interface for retrieving market information, prices, and historical data from prediction markets. <a href="https://glama.ai/mcp/servers/c255m147fd"> <img width="380" height="200" src="https://glama.ai/mcp/servers/c255m147fd/badge" alt="PolyMarket Server MCP server" /> </a> [](https://mseep.ai/app/berlinbra-polymarket-mcp) ## Features - 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 (1d, 7d, 30d, all) - Built-in error handling and rate limit management - Clean data formatting for easy consumption ## Installation #### Installing via Smithery To install PolyMarket Predictions for Claude Desktop automatically via [Smithery](https://smithery.ai/server/polymarket_mcp): ```bash npx -y @smithery/cli install polymarket_mcp --client claude ``` #### Claude Desktop - On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json` - On Windows: `%APPDATA%/Claude/claude_desktop_config.json` <summary>Development/Unpublished Servers Configuration</summary> ```json "mcpServers": { "polymarket-mcp": { "command": "uv", "args": [ "--directory", "/Users/{INSERT_USER}/YOUR/PATH/TO/polymarket-mcp", "run", "polymarket-mcp" //or src/polymarket_mcp/server.py ], "env": { "KEY": "<insert poly market api key>", "FUNDER": "<insert polymarket wallet address>" } } } ``` ### Running Locally 1. Clone the repository and install dependencies: #### Install Libraries ``` uv pip install -e . ``` ### Running After connecting Claude client with the MCP tool via json file and installing the packages, Claude should see the server's mcp tools: You can run the sever yourself via: In polymarket-mcp repo: ``` uv run src/polymarket_mcp/server.py ``` *if you want to run the server inspector along with the server: ``` npx @modelcontextprotocol/inspector uv --directory C:\\Users\\{INSERT_USER}\\YOUR\\PATH\\TO\\polymarket-mcp run src/polymarket_mcp/server.py ``` 2. Create a `.env` file with your PolyMarket API key: ``` Key=your_api_key_here Funder=poly market wallet address ``` After connecting Claude client with the MCP tool via json file, run the server: In alpha-vantage-mcp repo: `uv run src/polymarket_mcp/server.py` ## Available Tools The server implements four tools: - `get-market-info`: Get detailed information about a specific prediction market - `list-markets`: List available prediction markets with filtering options - `get-market-prices`: Get current prices and trading information - `get-market-history`: Get historical price and volume data ### get-market-info **Input Schema:** ```json { "market_id": { "type": "string", "description": "Market ID or slug" } } ``` **Example Response:** ``` Title: Example Market Category: Politics Status: Open Resolution Date: 2024-12-31 Volume: $1,234,567.89 Liquidity: $98,765.43 Description: This is an example prediction market... --- ``` ### list-markets **Input Schema:** ```json { "status": { "type": "string", "description": "Filter by market status", "enum": ["open", "closed", "resolved"] }, "limit": { "type": "integer", "description": "Number of markets to return", "default": 10, "minimum": 1, "maximum": 100 }, "offset": { "type": "integer", "description": "Number of markets to skip (for pagination)", "default": 0, "minimum": 0 } } ``` **Example Response:** ``` Available Markets: ID: market-123 Title: US Presidential Election 2024 Status: Open Volume: $1,234,567.89 --- ID: market-124 Title: Oscar Best Picture 2024 Status: Open Volume: $234,567.89 --- ``` ### get-market-prices **Input Schema:** ```json { "market_id": { "type": "string", "description": "Market ID or slug" } } ``` **Example Response:** ``` Current Market Prices for US Presidential Election 2024 Outcome: Democratic Price: $0.6500 Probability: 65.0% --- Outcome: Republican Price: $0.3500 Probability: 35.0% --- ``` ### get-market-history **Input Schema:** ```json { "market_id": { "type": "string", "description": "Market ID or slug" }, "timeframe": { "type": "string", "description": "Time period for historical data", "enum": ["1d", "7d", "30d", "all"], "default": "7d" } } ``` **Example Response:** ``` Historical Data for US Presidential Election 2024 Time Period: 7d Time: 2024-01-20T12:00:00Z Price: $0.6500 Volume: $123,456.78 --- Time: 2024-01-19T12:00:00Z Price: $0.6300 Volume: $98,765.43 --- ``` ## Error Handling The server includes comprehensive error handling for various scenarios: - Rate limiting (429 errors) - Invalid API keys (403 errors) - Invalid market IDs (404 errors) - Network connectivity issues - API timeout conditions (30-second timeout) - Malformed responses Error messages are returned in a clear, human-readable format. ## Prerequisites - Python 3.9 or higher - httpx>=0.24.0 - mcp-core - python-dotenv>=1.0.0 ## Contributing Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.