Polymarket Enhanced MCP Server

A powerful MCP server for analyzing Polymarket prediction markets with AI integration.

Setup

1. Clone the repository:

git clone <repository-url>
cd Mcp-polymarket

2. Create and activate a virtual environment:

python3 -m venv venv
source venv/bin/activate  # On Windows: .\venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Create a .env file in the root directory with your API keys:

GEMINI_API_KEY=your_gemini_api_key_here

5. Run the server:

python3 enhanced_server_v3.py

Features

• Real-time prediction market data from Polymarket
• AI-powered market analysis using Google's Gemini
• Portfolio impact analysis
• Market trend analysis
• Risk assessment tools

Configuration

The server can be configured through environment variables in the .env file:

• GEMINI_API_KEY: Your Google Gemini API key (required for AI analysis)

Tools Available

1. refresh-prediction-markets: Refresh market data
2. fetch-prediction-markets: Search markets by query
3. fetch-prediction-market-details: Get detailed market information
4. research-prediction-markets-outcome-impact: Analyze historical trends
5. analyze-portfolio-with-markets: Portfolio impact analysis
6. verify-portfolio-risk-claims: Verify risk analysis claims

Integration with Claude Desktop

1. Update your Claude Desktop configuration:

{
    "mcpServers": {
        "polymarket_enhanced": {
            "command": "sh",
            "args": [
                "-c",
                "cd /path/to/Mcp-polymarket && source venv/bin/activate && python3 enhanced_server_v3.py"
            ],
            "restartOnExit": true,
            "maxRestarts": 5
        }
    }
}

2. Restart Claude Desktop to apply the changes.

Notes

• The server requires Python 3.8 or higher
• Make sure to keep your API keys secure and never commit them to version control
• The AI analysis features require a valid Gemini API key