golf

The Golf MCP server is a production-ready framework designed to help you build, deploy, and scale secure AI agent infrastructures. With built-in features like authentication, observability, debugging, telemetry, and runtime capabilities, this server empowers you to run real-world Model Context Protocols (MCPs) that power sophisticated AI agents. Whether you are developing a new AI application or enhancing an existing one, Golf provides the tools you need for a seamless experience.

Once connected to the Golf MCP server, you can interact with it through a RESTful API that allows you to send commands and queries related to your AI agents. You can use standard HTTP methods such as GET, POST, PUT, and DELETE to manage agent states, retrieve telemetry data, and handle authentication. For optimal performance, structure your queries to leverage Golf's built-in observability features, which will help you monitor agent behavior and diagnose issues in real-time.

Prerequisites

Before installing Golf, ensure you have the following prerequisites:

• Node.js (version 14.x or later)
• npm (Node Package Manager)

Option A: Quick start with npx

If you prefer a quick start, you can run Golf directly without installation using npx:

npx -y golf  

Option B: Global install alternative

To install Golf globally, use the following command:

npm install -g golf  

This approach allows you to access the Golf command anywhere in your terminal.

When configuring the Golf MCP server, pay attention to the environment variables that control its behavior, such as GOLF_AUTH_TOKEN for secure access and GOLF_LOG_LEVEL for setting the desired verbosity of logs. A common gotcha is forgetting to set these variables, which may lead to authentication issues or insufficient logging during debugging sessions. Always refer to the official documentation for advanced configuration options to tailor the server to your specific needs.