What are the dependencies and runtime requirements?
Python 3.9 or higher, plus the packages httpx (>=0.24.0), mcp-core, and python-dotenv (>=1.0.0).
@berlinbra
基本信息
MCP Server for PolyMarket API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"polymarket-mcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"polymarket_mcp",
"--client",
"claude"
]
}
}
}Get detailed information about a specific prediction market
List available prediction markets with filtering options
Get current prices and trading information
Get historical price and volume data
PolyMarket MCP Server is a Model Context Protocol (MCP) server that provides access to prediction market data through the PolyMarket API. It implements a standardized interface for retrieving market information, prices, and historical data, intended for use with MCP-compatible AI clients.
Install via Smithery (npx -y @smithery/cli install polymarket_mcp --client claude) or manually by cloning the repository, installing dependencies with uv pip install -e ., and creating a .env file with your PolyMarket API key and wallet address. Then add the server configuration to your MCP client JSON and run uv run src/polymarket_mcp/server.py.
Python 3.9 or higher, plus the packages httpx (>=0.24.0), mcp-core, and python-dotenv (>=1.0.0).
You must provide a PolyMarket API key and a wallet address (Funder) via a `.env` file. Missing or invalid credentials result in 403 errors.
The server runs locally via the command line and communicates over standard input/output (stdio), as configured in the MCP client JSON.
It includes built-in handling for rate limiting (429), invalid API keys (403), invalid market IDs (404), network issues, and timeouts (30-second limit). Errors are returned in a clear, human-readable format.
No. All data is fetched live from the PolyMarket API. The server does not persist any data on the local machine.

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