by golf-mcp · MCP Server · ★ 837
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⛳ Golf Easiest framework for building MCP servers 📚 Documentation Overview Golf is a framework designed to streamline the creation of MCP server applications. It allows developers to define server's capabilities—tools, prompts, and resources—as simple Python files within a conventional directory structure. Golf then automatically discovers, parses, and compiles these components into a runnable MCP server, minimizing boilerplate and accelerating development. With Golf v0.2.0, you get enterprise-grade authentication (JWT, OAuth Server, API key, development tokens), built-in utilities for LLM interactions, and automatic telemetry integration. Focus on implementing your agent's logic while Golf handles authentication,
| Stars | 837 |
| Forks | 70 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 73.5311907720481/100 |
| Last Updated | 2026-05-08 |
| Created | 2025-02-24 |
| Platforms | mcp, python |
| Est. Tokens | ~79k |
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golf is 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. It is categorized as a MCP Server with 837 GitHub stars.
golf is primarily written in Python. It covers topics such as agent-runtime, ai, ai-agent.
You can find installation instructions and usage details in the golf GitHub repository at github.com/golf-mcp/golf. The project has 837 stars and 70 forks, indicating an active community.
golf is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to golf on Agent Skills Hub include arcade-mcp, archestra, agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.