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Install Skill MCP Server

Pick your client, copy the command, done.

Manual setup required. The maintainer's config contains paths only you know - edit the placeholders below before adding it to Claude Code.
1

Prepare the server locally

Run this once before adding it to Claude Code.

uv pip install skill-mcp-server
2

Register it in Claude Code

claude mcp add skill-mcp -- uvx skill-mcp-server --skills-dir /path/to/your/skills --workspace /path/to/workspace

Replace any placeholder paths in the command with the real path on your machine.

Available Tools (5)

Once configured, Skill MCP Server gives your AI agent access to:

list_skillsList all available skills
skillLoad a specific skill to get detailed instructions from its SKILL.md
skill_name
skill_resourceRead reference documents or templates from skill packages
skill_nameresource_path
skill_scriptExecute scripts bundled with skills in a secure environment
skill_namescript_name
file_readRead files from the specified workspace
file_path

Try It Out

After setup, try these prompts with your AI agent:

List all the skills currently available in my skills directory.
Load the instructions for the 'data-analysis' skill.
Execute the 'process_data.py' script from the 'data-analysis' skill package.
Read the output report generated in my workspace folder.
Prerequisites & system requirements
  • An MCP-compatible client (Claude Code, Cursor, Windsurf, Claude Desktop, or Codex)
  • Python 3.8+ with pip installed
Alternative installation methods

pip

pip install skill-mcp-server
Conare · memory for coding agents

Keep this setup from going cold

Save the docs, env vars, and workflow around Skill MCP Server in Conare so Claude Code, Codex, and Cursor remember it next time.

Remember this setup$npx conare@latest