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    Polymarket Mcp

    MCP Server for PolyMarket API

    51 stars
    Python
    Updated Oct 31, 2025

    Table of Contents

    • Features
    • Installation
    • Installing via Smithery
    • Claude Desktop
    • Running Locally
    • Install Libraries
    • Running
    • Available Tools
    • get-market-info
    • list-markets
    • get-market-prices
    • get-market-history
    • Error Handling
    • Prerequisites
    • Contributing

    Table of Contents

    • Features
    • Installation
    • Installing via Smithery
    • Claude Desktop
    • Running Locally
    • Install Libraries
    • Running
    • Available Tools
    • get-market-info
    • list-markets
    • get-market-prices
    • get-market-history
    • Error Handling
    • Prerequisites
    • Contributing

    Documentation

    PolyMarket MCP Server

    smithery badge

    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.

    MseeP.ai Security Assessment Badge

    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:

    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

    Development/Unpublished Servers Configuration

    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": "",
                    "FUNDER": ""
                }
            }
        }

    Running Locally

    1. Clone the repository and install dependencies:

    Install Libraries

    code
    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:

    code
    uv run src/polymarket_mcp/server.py

    *if you want to run the server inspector along with the server:

    code
    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:

    code
    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:

    code
    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:

    code
    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:

    code
    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:

    code
    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.

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