Golf V2

MCP Server generated by mcp.ag2.ai

python

0

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "ag2-mcp-servers-golf-v2": {
      "command": "python",
      "args": [
        "mcp_server/main.py",
        "stdio"
      ],
      "env": {
        "CONFIG": "A JSON string containing the configuration",
        "SECURITY": "Environment variables for security parameters (e.g., API keys)",
        "CONFIG_PATH": "Path to a JSON configuration file (e.g., mcp_server/mcp_config.json)"
      }
    }
  }
}

You run an MCP (Model Context Protocol) Server to expose structured data for a specific API, enabling consistent model-context interactions across clients. This server is tailored to the golf-v2 sportsdata.io API, letting you start and connect via standard MCP transports.

How to use

Start the MCP server in stdio mode to communicate directly with client processes on the same machine. Use your MCP client to connect over the stdio transport and exchange requests following the MCP protocol. You can also run the server in other transports such as sse or streamable-http if you configure them, but stdio is the quickest way to begin during development.

To begin, run the following command in your terminal. This launches the MCP server from the local source tree in stdio mode.

python mcp_server/main.py stdio

What you can do with the server

Connect your MCP client to the server to request data from the golf-v2 API context. The server supports multiple transport options, so you can switch to other modes if needed. You can control how the server starts and what configuration it uses through environment variables.

Available tools

ruff

Linting and formatting the Python codebase to ensure style and quality.

mypy

Static type checking to catch type errors during development.

pytest

Run tests and generate coverage reports to verify functionality.

pre-commit

Run pre-commit hooks before commits to enforce standards.

hatch

Build and publish the MCP project.