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Golf를 사용하여 Python 파일로 인증된 MCP 서버 구축

예측 가능한 Python 프로젝트 구조에서 도구, 프롬프트, 리소스, 인증 및 OpenTelemetry 훅을 갖춘 MCP 서버를 스캐폴드, 빌드 및 실행합니다.

Golf를 사용하여 Python 파일로 인증된 MCP 서버 구축란 무엇인가요?

이 스킬은 Golf 프레임워크를 사용하여 Python 파일로부터 인증된 MCP(Model Context Protocol) 서버를 생성하는 방법을 제공합니다. Golf는 개발자가 `tools/`, `resources/`, `prompts/` 디렉토리 내에 단일 Python 파일로 서버의 기능을 정의할 수 있게 하여, 복잡한 설정 없이도 일관된 프로젝트 구조를 유지할 수 있도록 돕습니다. 주요 기능으로는 내장된 인증 지원, OpenTelemetry를 통한 관찰 가능성 훅, 그리고 간편한 CLI 도구(`golf init`)를 통한 프로젝트 스캐폴딩이 포함됩니다. MCP 호환 클라이언트(예: Claude Desktop, Cursor, Codex)와 함께 사용하도록 설계되었으며, Python 3.10 이상과 `pip install golf-mcp`로 설치할 수 있습니다. 이 스킬은 AI 에이전트가 표준화된 방식으로 도구와 리소스를 안전하게 노출해야 하는 시나리오에 특히 유용하며, 확장 가능한 에이전트-서버 아키텍처 개발을 크게 간소화합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-authenticated-mcp-servers-from-python-files-with-golf
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문서

Golf를 사용하여 Python 파일로 인증된 MCP 서버 구축은(는) 무엇을 하나요?

예측 가능한 Python 프로젝트 구조에서 도구, 프롬프트, 리소스, 인증 및 OpenTelemetry 훅을 갖춘 MCP 서버를 스캐폴드, 빌드 및 실행합니다.

필수 조건

Python 3.10+, pip, Golf CLI, MCP 호환 클라이언트

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • pip install golf-mcp

업스트림의 요구 사항 및 주의 사항:

  • Golf는 MCP 서버 애플리케이션 생성을 간소화하도록 설계된 프레임워크입니다. 개발자는 일관된 디렉토리 내의 간단한 Python 파일로 서버의 기능(도구, 프롬프트, 리소스)을 정의할 수 있습니다.
  • Python(3.10+ 권장)이 설치되어 있는지 확인하세요. 그런 다음 pip를 사용하여 Golf를 설치합니다.
  • tools/, resources/, prompts/: 각각 단일 컴포넌트를 정의하는 Python 파일을 포함합니다. 이러한 디렉토리는 컴포넌트를 더 체계적으로 구성하기 위해 중첩된 하위 디렉토리를 포함할 수도 있습니다(예: tools/payments/...).

기본 사용법 또는 시작하기 참고 사항:

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

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ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

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Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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