mcpField
P
Polymarket MCP Server

Polymarket MCP Server

Local
github.comFinance9Updated 34w ago

About Polymarket MCP Server

Polymarket MCP Server exposes Polymarket's Gamma Markets API data to AI assistants. Its configurable tool set covers markets, events, order books, trades, and historical data.

Key features

  1. 01Filter market and event listings
  2. 02Retrieve market and event details
  3. 03Search markets by keyword
  4. 04Access order books and recent trades
  5. 05Retrieve historical market data
  6. 06Select which tools are available

Use cases

  1. 01Review prediction market listings
  2. 02Inspect a specific event or market
  3. 03Check recent trades and order books
  4. 04Examine historical market data

MCP support

It provides configurable tools through MCP for clients to query Polymarket market and event data.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Polymarket MCP Server

A Model Context Protocol (MCP) server for Polymarket's Gamma Markets API.

This provides access to Polymarket's prediction markets and market data through standardized MCP interfaces, allowing AI assistants to query market data and analyze prediction markets.

Features

  • Market and Event data access

    • List all available markets and events with extensive filtering options
    • Get detailed market and event information
    • Search markets by keyword
    • Get order book data
    • View recent trades
    • Get historical market data
  • Docker containerization support

  • Provide interactive tools for AI assistants

The list of tools is configurable, so you can choose which tools you want to make available to the MCP client. This is useful if you don't use certain functionality or if you don't want to take up too much of the context window.

Usage with Claude Desktop

Docker Setup

To use the containerized server with Claude Desktop, add this to your Claude Desktop configuration:

{
  "mcpServers": {
    "polymarket": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e", "GAMMA_API_URL",
        "-e", "GAMMA_REQUIRES_AUTH",
        "polymarket-mcp-server"
      ],
      "env": {
        "GAMMA_API_URL": "https://gamma-api.polymarket.com",
        "GAMMA_REQUIRES_AUTH": "false"
      }
    }
  }
}

Note: You'll need to build the Docker image first with docker build -t polymarket-mcp-server .

UV Setup (Alternative Method)

If you prefer not to use Docker, you can use uv to run the server directly:

  1. Create and configure a .env file in the project root directory:
# Copy the template
cp .env.template .env

# Edit the file to add your configuration
nano .env

Example .env content:

# Polymarket Gamma API Configuration
GAMMA_API_URL=https://gamma-api.polymarket.com
GAMMA_REQUIRES_AUTH=false
  1. Add the server configuration to your Claude Desktop configuration:
{
  "mcpServers": {
    "polymarket": {
      "command": "/usr/local/bin/uv",  // Use the full path to your uv installation
      "args": [
        "run",
        "-m", "polymarket_mcp_server.main"
      ],
      "cwd": "<full path to polymarket-mcp directory>",
      "env": {
        "GAMMA_API_URL": "https://gamma-api.polymarket.com",
        "GAMMA_REQUIRES_AUTH": "false"
      }
    }
  }
}

Note: If you see Error: spawn uv ENOENT in Claude Desktop, you may need to specify the full path to uv or set the environment variable NO_UV=1 in the configuration.

Development

Contributions are welcome! Please open an issue or submit a pull request if you have any suggestions or improvements.

This project uses uv to manage dependencies. Install uv following the instructions for your platform:

curl -LsSf https://astral.sh/uv/install.sh | sh

You can then create a virtual environment and install the dependencies with:

uv venv
source .venv/bin/activate  # On Unix/macOS
.venv\Scripts\activate     # On Windows
uv pip install -e .
Environment Variables Support

The server loads environment variables from a .env file in the project root directory if present. Copy .env.template to .env and adjust the values as needed.

Project Structure

The project has been organized with a src directory structure:

polymarket-mcp/
├── src/
│   └── polymarket_mcp_server/
│       ├── __init__.py      # Package initialization
│       ├── server.py        # MCP server implementation
│       └── main.py          # Main application logic
├── Dockerfile               # Docker configuration
├── .dockerignore            # Docker ignore file
├── .env.template            # Template for environment variables
├── pyproject.toml           # Project configuration
└── README.md                # This file
Testing

The project includes a comprehensive test suite that ensures functionality and helps prevent regressions.

Run the tests with pytest:

# Install development dependencies
uv pip install -e ".[dev]"

# Run the tests
pytest

# Run with coverage report
pytest --cov=src --cov-report=term-missing

Tests are organized into:

  • Server functionality tests
  • Main application tests
  • Error handling tests

When adding new features, please also add corresponding tests.

Available Tools
ToolCategoryDescription
get_marketsMarket DataGet a list of all available markets with comprehensive filtering options
get_market_by_idMarket DataGet detailed information about a specific market
get_order_bookMarket Data[EXPERIMENTAL] Get the current order book for a market
get_recent_tradesMarket Data[EXPERIMENTAL] Get latest trades for a market
get_market_historyMarket Data[EXPERIMENTAL] Get historical market data
search_marketsMarket DataSearch for markets by keyword using slug filtering
get_eventsEvent DataGet a list of all available events with comprehensive filtering options
get_event_by_idEvent DataGet detailed information about a specific event

License

MIT


Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.