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Polymeket-MCP
Servidor MCP para la API de PolyMket
3 years
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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
.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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Reviews

user_ahDtVU0y
As a dedicated user of polymarket-mcp by berlinbra, I am impressed with its seamless functionality and user-friendly interface. The comprehensive features and ease of use make it a standout choice for market prediction enthusiasts. Anyone looking for accurate, real-time data analysis should definitely check out polymarket-mcp on GitHub.