Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
Overview
What is Golf?
Golf is a production-ready framework designed for building, deploying, and scaling secure AI agent infrastructure through MCP (Multi-Component Protocol) servers. It simplifies the process of creating server applications by allowing developers to define server capabilities using simple Python files.
How to use Golf?
To use Golf, install it via pip, initialize a new project using the Golf CLI, and run the development server. The basic commands are:
- Install:
pip install golf-mcp - Initialize:
golf init your-project-name - Run:
golf build devandgolf run
Key features of Golf?
- Streamlined creation of MCP server applications.
- Automatic discovery and compilation of server components.
- Built-in OpenTelemetry support for distributed tracing.
- Easy project structure with tools, resources, and prompts organized in directories.
Use cases of Golf?
- Building AI agents that require secure and scalable server infrastructure.
- Rapid development of server applications with minimal boilerplate code.
- Integration of various AI tools and resources into a cohesive server environment.
FAQ from Golf?
- Can Golf be used for any type of AI agent?
Yes! Golf is designed to support a wide range of AI agents and applications.
- Is Golf free to use?
Yes! Golf is open-source and free to use under the Apache 2.0 license.
- How does Golf handle telemetry?
Golf collects anonymous usage data to improve the framework, but no personal information is collected.