#135 · Primary category： LLM Application Frameworks
golf
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
Project last updated：05/08/26
GitHub Stars
838
Forks
70
Contributors
4
License
Apache-2.0
Why we included this project
Golf is a Python framework for building Model Context Protocol servers without hand-writing the transport and lifecycle plumbing. You define tools, prompts, and resources as plain Python files in a conventional directory layout, and the framework discovers, parses, and compiles them into a runnable server. It also bundles the operational pieces that production MCP deployments tend to need: JWT, OAuth, and API-key authentication, automatic telemetry, and a debugger for inspecting server behavior. That makes it a practical pick for developers and small teams who want to expose internal capabilities to AI agents without getting stuck on server infrastructure.
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