
Polymarket MCP
A Model Context Protocol (MCP) server for Polymarket prediction markets, providing real-time market data, prices, and AI-powered analysis tools for Claude Desktop integration.
README
Polymarket MCP Server
A Model Context Protocol (MCP) server for Polymarket prediction market data, built with Rust and the official MCP Rust SDK. This server provides real-time market data, prices, and betting information from Polymarket through MCP tools, resources, and prompts.
Features
- Real-time Market Data: Fetch active markets, trending markets, and market details
- Market Search: Search markets by keywords across questions, descriptions, and categories
- Price Information: Get current yes/no prices for any market
- MCP Resources: Auto-refreshing market data resources
- MCP Prompts: AI-powered market analysis and arbitrage detection
- Caching: Built-in caching with configurable TTL for performance
- Configuration: Flexible configuration via environment variables or TOML files
Prerequisites
- Rust 1.70+ (install via rustup)
- Polymarket API credentials (optional for basic read-only access)
Installation
For Claude Desktop
-
Clone the repository:
git clone https://github.com/0x79de/polymarket-mcp cd polymarket-mcp
-
Build the release binary:
cargo build --release
-
Configure Claude Desktop:
Edit your Claude Desktop configuration file at:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- Linux:
~/.config/Claude/claude_desktop_config.json
Add the Polymarket MCP server:
{ "mcpServers": { "polymarket": { "command": "/full/path/to/polymarket-mcp/target/release/polymarket-mcp", "env": { "RUST_LOG": "info" } } } }
- macOS:
-
Restart Claude Desktop to load the new MCP server.
Optional Configuration
Set up environment variables for enhanced functionality:
cp .env.example .env
# Edit .env with your API credentials (optional for basic usage)
Configuration
Environment Variables
Copy .env.example
to .env
and configure as needed:
# API Configuration
POLYMARKET_API_KEY=your_api_key_here
POLYMARKET_API_BASE_URL=https://gamma-api.polymarket.com
# Trading API Credentials (for advanced operations)
POLYMARKET_SECRET=your_secret_here
POLYMARKET_PASSPHRASE=your_passphrase_here
# Wallet Credentials (for blockchain interactions)
WALLET_PUBLIC_KEY=0x_your_public_key_here
WALLET_PRIVATE_KEY=your_private_key_here
# Server Settings
POLYMARKET_CACHE_ENABLED=true
POLYMARKET_CACHE_TTL=60
POLYMARKET_LOG_LEVEL=info
Configuration File
Alternatively, create a config.toml
file:
[server]
name = "Polymarket MCP Server"
max_connections = 100
timeout_seconds = 30
[api]
base_url = "https://gamma-api.polymarket.com"
api_key = "your_api_key_here"
timeout_seconds = 30
max_retries = 3
[cache]
enabled = true
ttl_seconds = 60
max_entries = 1000
[logging]
level = "info"
format = "pretty"
enable_colors = true
Usage
Claude Desktop Integration
To use with Claude Desktop, configure your claude_desktop_config.json
:
{
"mcpServers": {
"polymarket": {
"command": "/path/to/polymarket-mcp/target/release/polymarket-mcp",
"env": {
"RUST_LOG": "info"
}
}
}
}
Configuration file location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- Linux:
~/.config/Claude/claude_desktop_config.json
Building for Production
# Build release version for Claude Desktop
cargo build --release
# The binary will be at: target/release/polymarket-mcp
Standalone Server (Development)
# Run with default configuration (development mode)
cargo run
# Run with debug logging
RUST_LOG=debug cargo run
# Test the server manually (not recommended for production)
echo '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}},"id":0}' | cargo run
MCP Tools
The server provides the following MCP tools:
get_active_markets
Fetch currently active prediction markets.
Parameters:
limit
(optional): Maximum number of markets to return (default: 50)
Example:
{
"tool": "get_active_markets",
"arguments": {
"limit": 10
}
}
get_market_details
Get detailed information about a specific market.
Parameters:
market_id
(required): The ID of the market
Example:
{
"tool": "get_market_details",
"arguments": {
"market_id": "0x123..."
}
}
search_markets
Search markets by keyword.
Parameters:
keyword
(required): Search termlimit
(optional): Maximum results (default: 20)
Example:
{
"tool": "search_markets",
"arguments": {
"keyword": "election",
"limit": 5
}
}
get_market_prices
Get current yes/no prices for a market.
Parameters:
market_id
(required): The ID of the market
get_trending_markets
Get markets with highest trading volume.
Parameters:
limit
(optional): Maximum number of markets (default: 10)
MCP Resources
Auto-refreshing data resources:
markets:active
- List of active marketsmarkets:trending
- Trending markets by volumemarket:{id}
- Specific market details
MCP Prompts
AI-powered analysis prompts:
analyze_market
Comprehensive market analysis including sentiment, liquidity, and trading opportunities.
Arguments:
market_id
(required): Market to analyze
find_arbitrage
Detect arbitrage opportunities across related markets.
Arguments:
keyword
(required): Search term for related marketslimit
(optional): Number of markets to analyze
market_summary
Overview of top prediction markets with trading recommendations.
Arguments:
category
(optional): Filter by categorylimit
(optional): Number of markets to include
API Documentation
Market Object Structure
{
"id": "0x123...",
"slug": "market-slug",
"question": "Will X happen by Y date?",
"description": "Detailed market description",
"active": true,
"closed": false,
"liquidity": 50000.0,
"volume": 125000.0,
"end_date": "2024-12-31T23:59:59Z",
"outcomes": ["Yes", "No"],
"outcome_prices": ["0.65", "0.35"],
"category": "Politics"
}
Error Handling
The server implements comprehensive error handling:
- Network Errors: Automatic retry with exponential backoff
- Rate Limiting: Built-in rate limiting with configurable limits
- Data Validation: All API responses are validated
- Caching: Prevents redundant API calls
Development
Running Tests
# Run all tests
cargo test
# Run tests with output
cargo test -- --nocapture
# Run specific test
cargo test test_market_client
Code Structure
src/
├── main.rs # MCP server implementation
├── config.rs # Configuration management
├── models.rs # Data structures and types
└── polymarket_client.rs # Polymarket API client
Adding New Features
- New Tools: Add methods to
PolymarketMcpServer
inmain.rs
- New Models: Define structures in
models.rs
- API Endpoints: Extend
PolymarketClient
inpolymarket_client.rs
- Configuration: Add options to
Config
inconfig.rs
Deployment
Docker
# Build Docker image
docker build -t polymarket-mcp .
# Run container
docker run -d \
--name polymarket-mcp \
-e POLYMARKET_API_KEY=your_key \
-p 8080:8080 \
polymarket-mcp
Systemd Service
Create /etc/systemd/system/polymarket-mcp.service
:
[Unit]
Description=Polymarket MCP Server
After=network.target
[Service]
Type=simple
User=polymarket
ExecStart=/usr/local/bin/polymarket-mcp
Restart=always
RestartSec=10
Environment=RUST_LOG=info
EnvironmentFile=/etc/polymarket-mcp/.env
[Install]
WantedBy=multi-user.target
Troubleshooting
Common Issues
JSON Parsing Errors in Claude Desktop Logs
Error: Unexpected token '', " [2m2025-0"... is not valid JSON
Solution: This indicates logs are being written to stdout instead of stderr. The server has been configured to write all logs to stderr to avoid interfering with MCP JSON communication.
MCP Validation Errors
Error: Invalid input
, Expected string, received null
in id
field
Solution: The server now properly handles JSON-RPC notifications (like notifications/initialized
) by not responding to them, which is the correct behavior.
Server Connection Issues
Error: Server disconnected
or Server transport closed unexpectedly
Troubleshooting steps:
- Verify the binary path in your
claude_desktop_config.json
- Check that the binary exists:
ls -la /path/to/target/release/polymarket-mcp
- Test the binary manually:
echo '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}},"id":0}' | /path/to/target/release/polymarket-mcp
- Check logs in Claude Desktop:
~/Library/Logs/Claude/mcp.log
(macOS)
Build Issues
Error: cannot find function 'stdin' in module 'tokio::io'
Solution: Ensure tokio
has the io-std
feature enabled in Cargo.toml
:
tokio = { version = "1.0", features = ["rt-multi-thread", "macros", "sync", "time", "signal", "io-std"] }
Debug Mode
Enable debug logging to see detailed MCP communication:
# In your claude_desktop_config.json
{
"mcpServers": {
"polymarket": {
"command": "/path/to/polymarket-mcp/target/release/polymarket-mcp",
"env": {
"RUST_LOG": "debug"
}
}
}
}
Log Locations
- Claude Desktop MCP Logs:
~/Library/Logs/Claude/mcp.log
(macOS) - Claude Desktop Main Logs:
~/Library/Logs/Claude/main.log
(macOS) - Server stderr output: Appears in Claude Desktop MCP logs
Monitoring
The server provides structured logging and can be monitored using:
- Logs: JSON or pretty-printed logs with configurable levels (written to stderr)
- Metrics: Built-in caching metrics and API call tracking
- Health: Connection pooling and retry statistics
- MCP Protocol: Full request/response logging in debug mode
Contributing
- Fork the repository
- Create a feature branch:
git checkout -b feature-name
- Make your changes and add tests
- Run tests:
cargo test
- Run lints:
cargo clippy
- Format code:
cargo fmt
- Submit a pull request
Security
- API keys are handled securely and never logged
- Private keys are optional and only used for trading operations
- All HTTP connections use TLS
- Input validation prevents injection attacks
License
This project is licensed under the MIT License - see the LICENSE file for details.
Support
- Issues: GitHub Issues
- Documentation: MCP Specification
- Polymarket API: Official Documentation
Changelog
v0.1.1 (Current)
- Fixed: JSON parsing errors in Claude Desktop by redirecting logs to stderr
- Fixed: MCP validation errors with notification handling
- Fixed: Added
io-std
feature to tokio for stdin/stdout support - Improved: Proper JSON-RPC protocol compliance
- Added: Comprehensive troubleshooting documentation
- Added: Claude Desktop integration guide
v0.1.0
- Initial release with core MCP functionality
- Support for market data fetching and searching
- MCP resources and prompts implementation
- Comprehensive configuration system
- Built-in caching and error handling
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
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.