PolyMarket MCP Server

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

  1. 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
  1. Create a .env file 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 market
  • list-markets: List available prediction markets with filtering options
  • get-market-prices: Get current prices and trading information
  • get-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.

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A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables interaction with the PolyMarket API to fetch prediction market data such as market information, prices, and historical data, with robust error handling and rate limit management.

  1. Features
    1. Installation
      1. Installing via Smithery
      2. Claude Desktop
      3. Running Locally
      4. Running
    2. Available Tools
      1. get-market-info
      2. list-markets
      3. get-market-prices
      4. get-market-history
    3. Error Handling
      1. Prerequisites
        1. Contributing

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