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SkillCreator includes an MCP (Model Context Protocol) server that lets AI agents query your skill library directly. Instead of reading static files, agents can discover, inspect, and use skills dynamically.

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What MCP enables

With the MCP server running, an AI agent can:
  • List skills. Browse your entire skill library.
  • Read skills. Load skill content on demand.
  • Check health. View eval scores and quality metrics.
  • Search. Find skills by keyword or tag.
  • Inspect runs. View skill execution history.

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How it works

The MCP server is a stdio-based server that proxies all tool calls to the desktop app’s local RPC endpoint. It runs as a subprocess of the desktop app.

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Auto-registration

On first launch, SkillCreator automatically registers its MCP server with detected agent runtimes:
Auto-registration only adds the server entry if the config file exists. It does not overwrite existing configurations.
Auto-registration also writes tool approval permissions to ~/.claude/settings.json for Claude Code.

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Headless mode

The MCP server can run independently of the desktop app:
This starts a headless MCP server that connects to the local runtime. Useful for CI environments or when you want MCP without the GUI.
Last modified on March 19, 2026