PolyMarket MCP Server

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.

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:

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Development/Unpublished Servers Configuration

    "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

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:

{
    "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:

{
    "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:

{
    "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:

{
    "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.