agentskills-modelcontextprotocol

MCP server integration for the Agent Skills SDK — expose a skill registry as an MCP server.

Creates a Model Context Protocol server from a SkillRegistry, exposing skills as MCP tools and resources. Works with any MCP-compatible client (Claude Desktop, VS Code, custom clients, etc.).

Installation

pip install agentskills-modelcontextprotocol

Requires Python 3.12+. Installs agentskills-core and mcp as dependencies.

Usage

from pathlib import Path
from agentskills_core import SkillRegistry
from agentskills_fs import LocalFileSystemSkillProvider
from agentskills_mcp import create_mcp_server

provider = LocalFileSystemSkillProvider(Path("./skills"))
registry = SkillRegistry()
await registry.register("incident-response", provider)

server = create_mcp_server(registry, name="My Skills Server")
server.run()  # stdio by default

For HTTP transport:

server.run(transport="streamable-http")

Tools

The server exposes tools that let the LLM agent access skill content:

Resources

The server provides resources for system-prompt context:

The MCP client reads these resources and injects them into the system prompt, giving the agent both what skills exist and how to interact with them.

API

create_mcp_server(registry, *, name, instructions=None) -> FastMCP

Returns a configured FastMCP instance ready for server.run().

License

MIT