MCP Servers

Skills MCP Server

Enables MCP clients to infer and resolve skills from text, normalize skill names, perform semantic taxonomy searches, and inspect lifecycle governance.

README

Skills MCP Server

A FastMCP server that exposes the skills-engine taxonomy as MCP tools — so any MCP client (Claude, Cursor, custom agents) can infer, normalize, and search skills, and inspect lifecycle governance.

Tools

Tool	Purpose
`infer_skills(text, context_type)`	extract + resolve skills from JDs, resumes, tasks, reflections
`normalize_skill(name)`	map a raw label to custom → external → master tiers
`search_taxonomy(query, k)`	semantic search across all tiers
`taxonomy_stats()`	counts by tier + lifecycle status
`lifecycle_report(today?)`	proposed actions with reasons (half-life policy)

Run

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

Wire it into any MCP client config:

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

Tests

Tool functions are plain callables registered onto the FastMCP instance, so tests monkeypatch the transport layer (_get/_post) and assert routing, payloads, and registration without a live engine.

MIT

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