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Skills MCP Server

ci

一个基于 FastMCP 的服务器,将 skills-engine 的分类体系以 MCP 工具 的形式暴露出来——这样任何 MCP 客户端(Claude、Cursor 或自定义智能体)都可以对技能进行推断、规范化与搜索,并检查生命周期治理情况。

工具

工具

用途

infer_skills(text, context_type)

从 JD、简历、任务和反思中提取并解析技能

normalize_skill(name)

将原始标签映射到自定义 → 外部 → master 层级

search_taxonomy(query, k)

跨所有层级进行语义搜索

taxonomy_stats()

按层级和生命周期状态统计数量

lifecycle_report(today?)

基于半衰期策略提出建议行动并给出原因

Related MCP server: skills-mcp-server

运行

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

将其接入任意 MCP 客户端配置:

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

测试

工具函数是注册在 FastMCP 实例上的普通可调用对象,因此测试无需真实引擎,只需对传输层(_get/_post)进行 monkeypatch,并断言路由、载荷和注册结果。

MIT

Maintenance

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