Golf

A Python framework for building production-ready MCP servers with minimal boilerplate. Provides automatic tool/prompt/resource discovery from directory structure, enterprise-grade auth (JWT, OAuth 2.0, API keys), OpenTelemetry tracing, built-in LLM utilities, and a CLI for project scaffolding and development.

Evaluated Mar 01, 2026 (50d ago) v0.2.19
Homepage ↗ Repo ↗ Developer Tools mcp-server framework python oauth jwt opentelemetry pydantic hot-reload scaffolding apache-2.0
⚙ Agent Friendliness
65
/ 100
Can an agent use this?
🔒 Security
78
/ 100
Is it safe for agents?
⚡ Reliability
N/A
Not evaluated
Does it work consistently?
AF Security Reliability

Best When

You need to build a Python MCP server with auth, observability, and structured project layout, especially for production or multi-tool scenarios.

Avoid When

You need a ready-to-use MCP server for a specific service, or you are building in a language other than Python, or your MCP server is trivially simple.

Use Cases

  • Building custom MCP servers with authentication and observability out of the box
  • Scaffolding new MCP server projects with conventional directory structure
  • Adding enterprise auth (JWT, OAuth) to MCP tools without manual implementation
  • Instrumenting MCP servers with OpenTelemetry for production monitoring

Not For

  • Using as a standalone MCP server (it is a framework for building servers)
  • Non-Python MCP server development
  • Simple single-tool MCP servers where a framework adds unnecessary overhead

Alternatives

Full Evaluation Report

Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for Golf.

AI-powered analysis · PDF + markdown · Delivered within 30 minutes

$99

Package Brief

Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.

Delivered within 10 minutes

$3

Score Monitoring

Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.

Continuous monitoring

$3/mo

Scores are editorial opinions as of 2026-03-01.

8642
Packages Evaluated
17761
Need Evaluation
586
Need Re-evaluation
Community Powered