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hari2353

Skills MCP Server

by hari2353
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Skills MCP Server

ci

A FastMCP 서버가 skills-engine 분류 체계를 MCP 도구로 노출합니다. 따라서 모든 MCP 클라이언트(Claude, Cursor, 사용자 지정 에이전트)는 스킬을 추론·정규화·검색하고 생명주기 거버넌스를 살펴볼 수 있습니다.

도구

도구

용도

infer_skills(text, context_type)

JD, 이력서, 업무, 회고에서 스킬 추출 + 해석

normalize_skill(name)

원시 라벨을 custom → external → master 계층으로 매핑

search_taxonomy(query, k)

모든 계층에 걸쳐 의미 기반 검색

taxonomy_stats()

계층 및 생명주기 상태별 집계

lifecycle_report(today?)

제안 조치와 사유(반감기 정책)

Related MCP server: skills-mcp-server

실행

pip install -r requirements.txt
uvicorn skills_engine.api.app:app --reload   # in the skills-engine repo, port 8000

export SKILLS_ENGINE_URL=http://127.0.0.1:8000
python src/skills_mcp/server.py              # stdio MCP transport

어떤 MCP 클라이언트 설정에도 연결할 수 있습니다:

{
  "mcpServers": {
    "skills-engine": {
      "command": "python",
      "args": ["src/skills_mcp/server.py"]
    }
  }
}

테스트

도구 함수는 FastMCP 인스턴스에 등록된 일반 콜러블이므로, 테스트는 전송 계층(_get/_post)을 몽키패치하고 라이브 엔진 없이 라우팅, 페이로드, 등록을 검증합니다.

MIT

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