AI Skills MCP Server

AI Skills MCP Server

Compiles skill definitions and serves them to AI agents via MCP, enabling tools for context packing, dependency resolution, and skill searching.

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README

AI Skills MCP Server

MCP server that compiles ai-skills skill definitions and serves them to AI agents over the Model Context Protocol. Skills are bundled — zero config required.

npx ai-skills-mcp start

Register in your MCP client config:

{
  "mcpServers": {
    "ai-skills": {
      "command": "npx",
      "args": ["ai-skills-mcp", "start"]
    }
  }
}

How the AI Uses Skills

Skills are not automatically injected into the AI's context. The MCP server exposes tools that the AI chooses to call. The typical flow:

  1. AI receives a task (e.g. "install python dependencies")
  2. AI calls pack_context("install python dependencies") — the server finds relevant skills (uv, anti-global-install, etc.), resolves their transitive dependencies, and returns packed skill content within token limits
  3. AI reads the returned skill instructions and follows them

This requires the AI to know about pack_context. See docs/ai-workflow.md for setup guidance and the skill-loader skill which teaches this pattern.

Commands

Command Description
start Start MCP server (stdio or SSE)
compile Compile skills and save registry
list List all compiled skills

start flags

Flag Default Description
-d, --skills-dir (bundled) Override path to skills directory
-t, --transport stdio stdio or sse
-p, --port 3000 Port for SSE transport
-r, --registry registry.json JSON registry path
--sqlite <path> — Use SQLite registry instead of JSON
--no-registry — Skip registry persistence

MCP Tools

Tool Description
list_skills List all compiled skills
get_skill Get full compiled skill by name
search_skills Search skills by keyword
resolve_dependencies Get dependency graph for a skill
pack_context Build a context pack for a task
get_dependents Find skills that reference a given skill
get_stats Registry statistics

MCP Resources

URI Description
skill://{name} Full compiled skill
skill://{name}/deps Dependencies of a skill
skill://{name}/dependents Skills that reference this one

Documentation

Doc Description
docs/ai-workflow.md How the AI discovers and uses skills
docs/how-it-works.md Compiler, resolver, packer internals
docs/architecture.md Project design and data flow
docs/api.md Full MCP tool and resource reference
docs/skill-format.md How to write a SKILL.md
docs/project-scope.md Scope, limitations, roadmap

Architecture

flowchart LR
  Skills["skills/"] --> Compiler["SkillCompiler"]
  Compiler --> Resolver["DependencyResolver"]
  Compiler --> Packer["ContextPacker"]
  Compiler --> Registry["Registry"]
  Resolver --> MCP["MCP Server"]
  Packer --> MCP
  Registry --> MCP
  MCP --> Tools["7 tools"]
  MCP --> Resources["3 resource URIs"]

  style Skills fill:#1a1a2e,color:#eee
  style Compiler fill:#4a90d9,color:#fff
  style Resolver fill:#50b86c,color:#fff
  style Packer fill:#e6a020,color:#fff
  style Registry fill:#9b59b6,color:#fff
  style MCP fill:#1abc9c,color:#fff
  style Tools fill:#34495e,color:#eee
  style Resources fill:#34495e,color:#eee

See docs/architecture.md for the full import graph and docs/how-it-works.md for the pipeline.

Transports

  • stdio (default) — Claude Desktop, Cursor, etc.
  • SSE — remote deployments: --transport sse --port 3000

Registries

  • JSON (default) — file-based, easy to debug
  • SQLite — persistent, queryable: --sqlite ./registry.db
  • Memory — ephemeral, --no-registry

Development

npm install
npm run build
npm start -- --no-registry
npm test

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