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agent-framework · tool profile
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
security Claude CodeGeneric
01
At a glance.
A compact read before the deeper capability notes and official setup links.
02
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
Easiest framework for building MCP servers
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.
Focus on implementing your agent's logic while Golf handles authentication, monitoring, and server infrastructure.
This will start the MCP server, typically on (configurable in golf.json).
tools/, resources/, prompts/: Contain your Python files, each defining a single component.
These directories can also contain nested subdirectories to further organize your components (e.g., tools/payments/charge.py).
04
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
06
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-05-08T14:44:01Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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