polymarket-mcp
Enables AI assistants to query Polymarket prediction markets and analyze market data through the MCP interface.
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
-
[x] Market and Event data access
- [x] List all available markets and events with extensive filtering options
- [x] Get detailed market and event information
- [x] Search markets by keyword
- [x] Get order book data
- [x] View recent trades
- [x] Get historical market data
-
[x] Docker containerization support
-
[x] 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:
- Create and configure a
.envfile 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
- 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 ENOENTin Claude Desktop, you may need to specify the full path touvor set the environment variableNO_UV=1in 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
| Tool | Category | Description |
|---|---|---|
get_markets |
Market Data | Get a list of all available markets with comprehensive filtering options |
get_market_by_id |
Market Data | Get detailed information about a specific market |
get_order_book |
Market Data | [EXPERIMENTAL] Get the current order book for a market |
get_recent_trades |
Market Data | [EXPERIMENTAL] Get latest trades for a market |
get_market_history |
Market Data | [EXPERIMENTAL] Get historical market data |
search_markets |
Market Data | Search for markets by keyword using slug filtering |
get_events |
Event Data | Get a list of all available events with comprehensive filtering options |
get_event_by_id |
Event Data | Get detailed information about a specific event |
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.