MCP Predictive Market

# Clone and install
git clone https://github.com/EricGrill/mcp-predictive-market.git
cd mcp-predictive-market
uv sync

# Run the server
uv run python -m mcp_predictive_market.server

{
  "mcpServers": {
    "prediction-market": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/mcp-predictive-market", "python", "-m", "mcp_predictive_market.server"]
    }
  }
}

{
  "mcpServers": {
    "prediction-market": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/mcp-predictive-market", "python", "-m", "mcp_predictive_market.server"]
    }
  }
}

"Find prediction markets about AI"
"What categories of markets are available?"
"Show me crypto markets on Polymarket"
"Browse politics markets"

"Get current odds for Manifold market abc123"
"Compare odds for 'Will Bitcoin hit $100k?' across all platforms"
"Show me the probability of a 2024 recession on different platforms"

"Find arbitrage opportunities with at least 10% spread"
"Are there any markets with significantly different odds across platforms?"
"Show me the biggest price discrepancies right now"

"Track the Polymarket election market"
"Show all my tracked markets"
"What are the current prices on my watchlist?"

# Clone
git clone https://github.com/EricGrill/mcp-predictive-market.git
cd mcp-predictive-market

# Install with dev dependencies
uv sync --extra dev

# Run tests
uv run pytest -v

# Run specific test file
uv run pytest tests/test_integration.py -v

src/mcp_predictive_market/
├── server.py           # MCP server entry point
├── tools.py            # Tool handler implementations
├── schema.py           # Unified market data models
├── errors.py           # Custom exceptions
├── rate_limiter.py     # Per-platform rate limiting
├── adapters/           # Platform-specific adapters
│   ├── base.py         # Adapter protocol
│   ├── manifold.py
│   ├── polymarket.py
│   ├── metaculus.py
│   ├── predictit.py
│   └── kalshi.py
├── analysis/           # Market analysis modules
│   ├── matching.py     # Cross-platform market matching
│   └── arbitrage.py    # Arbitrage detection
└── state/              # State management
    └── memvid_client.py