PolyMarket
Access prediction market data from the PolyMarket API.
PolyMarket MCP Server
A Model Context Protocol (MCP) server that provides access to prediction market data through the PolyMarket API. This server implements a standardized interface for retrieving market information, prices, and historical data from prediction markets.
Features
- Real-time prediction market data with current prices and probabilities
- Detailed market information including categories, resolution dates, and descriptions
- Historical price and volume data with customizable timeframes (1d, 7d, 30d, all)
- Built-in error handling and rate limit management
- Clean data formatting for easy consumption
Installation
Installing via Smithery
To install PolyMarket Predictions for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install polymarket_mcp --client claude
Claude Desktop
- On MacOS:
~/Library/Application\ Support/Claude/claude_desktop_config.json - On Windows:
%APPDATA%/Claude/claude_desktop_config.json
"mcpServers": {
"polymarket-mcp": {
"command": "uv",
"args": [
"--directory",
"/Users/{INSERT_USER}/YOUR/PATH/TO/polymarket-mcp",
"run",
"polymarket-mcp" //or src/polymarket_mcp/server.py
],
"env": {
"KEY": "<insert poly market api key>",
"FUNDER": "<insert polymarket wallet address>"
}
}
}
Running Locally
- Clone the repository and install dependencies:
Install Libraries
uv pip install -e .
Running
After connecting Claude client with the MCP tool via json file and installing the packages, Claude should see the server's mcp tools:
You can run the sever yourself via: In polymarket-mcp repo:
uv run src/polymarket_mcp/server.py
*if you want to run the server inspector along with the server:
npx @modelcontextprotocol/inspector uv --directory C:\\Users\\{INSERT_USER}\\YOUR\\PATH\\TO\\polymarket-mcp run src/polymarket_mcp/server.py
- Create a
.envfile with your PolyMarket API key:
Key=your_api_key_here
Funder=poly market wallet address
After connecting Claude client with the MCP tool via json file, run the server:
In alpha-vantage-mcp repo: uv run src/polymarket_mcp/server.py
Available Tools
The server implements four tools:
get-market-info: Get detailed information about a specific prediction marketlist-markets: List available prediction markets with filtering optionsget-market-prices: Get current prices and trading informationget-market-history: Get historical price and volume data
get-market-info
Input Schema:
{
"market_id": {
"type": "string",
"description": "Market ID or slug"
}
}
Example Response:
Title: Example Market
Category: Politics
Status: Open
Resolution Date: 2024-12-31
Volume: $1,234,567.89
Liquidity: $98,765.43
Description: This is an example prediction market...
---
list-markets
Input Schema:
{
"status": {
"type": "string",
"description": "Filter by market status",
"enum": ["open", "closed", "resolved"]
},
"limit": {
"type": "integer",
"description": "Number of markets to return",
"default": 10,
"minimum": 1,
"maximum": 100
},
"offset": {
"type": "integer",
"description": "Number of markets to skip (for pagination)",
"default": 0,
"minimum": 0
}
}
Example Response:
Available Markets:
ID: market-123
Title: US Presidential Election 2024
Status: Open
Volume: $1,234,567.89
---
ID: market-124
Title: Oscar Best Picture 2024
Status: Open
Volume: $234,567.89
---
get-market-prices
Input Schema:
{
"market_id": {
"type": "string",
"description": "Market ID or slug"
}
}
Example Response:
Current Market Prices for US Presidential Election 2024
Outcome: Democratic
Price: $0.6500
Probability: 65.0%
---
Outcome: Republican
Price: $0.3500
Probability: 35.0%
---
get-market-history
Input Schema:
{
"market_id": {
"type": "string",
"description": "Market ID or slug"
},
"timeframe": {
"type": "string",
"description": "Time period for historical data",
"enum": ["1d", "7d", "30d", "all"],
"default": "7d"
}
}
Example Response:
Historical Data for US Presidential Election 2024
Time Period: 7d
Time: 2024-01-20T12:00:00Z
Price: $0.6500
Volume: $123,456.78
---
Time: 2024-01-19T12:00:00Z
Price: $0.6300
Volume: $98,765.43
---
Error Handling
The server includes comprehensive error handling for various scenarios:
- Rate limiting (429 errors)
- Invalid API keys (403 errors)
- Invalid market IDs (404 errors)
- Network connectivity issues
- API timeout conditions (30-second timeout)
- Malformed responses
Error messages are returned in a clear, human-readable format.
Prerequisites
- Python 3.9 or higher
- httpx>=0.24.0
- mcp-core
- python-dotenv>=1.0.0
Contributing
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
Related Servers
공공 API 연동 MCP 샘플
Integrates the Korea Meteorological Administration's public weather API to provide climate data.
Grafana Loki
A server for querying Loki logs from Grafana.
Pulsar Edit MCP Server
An experimental MCP server to control the Pulsar editor, enabling LLM assistance for software development.
APIWeaver
Dynamically creates MCP servers from web API configurations, integrating any REST API, GraphQL endpoint, or web service into MCP-compatible tools.
Hex MCP
A server for listing, searching, running, and managing Hex projects.
Cargo Package README MCP Server
Fetches Rust crate READMEs, metadata, dependencies, and usage information from crates.io.
FAL FLUX.1 Kontext [Max]
A frontier image generation and editing model with advanced text rendering and contextual understanding, powered by the FAL AI API.
Azure MCP Server
All Azure MCP tools in a single server. The Azure MCP Server implements the MCP specification to create a seamless connection between AI agents and Azure services. Azure MCP Server can be used alone or with the GitHub Copilot for Azure extension in VS Code.
BaseMcpServer
A minimal, containerized base for building MCP servers with the Python SDK, featuring a standardized Docker image and local development setup.
Remote MCP Server (Authless)
An authentication-free, remote MCP server deployable on Cloudflare Workers. Customize tools directly in the source code and deploy via Cloudflare or locally.
