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Use with AI

These docs are published in forms that AI assistants read directly, so a coding assistant can answer questions about eigenkit from the current documentation instead of from what it remembers.

Copy a page

The menu at the top right of every page copies the page as Markdown, opens its Markdown version, or starts a conversation about it in Claude or ChatGPT. The Markdown version of a page lives next to it: the page https://docs.kit.eigenorbit.com/user-guide/encoding/ is also served as https://docs.kit.eigenorbit.com/user-guide/encoding/index.md.

llms.txt

  • llms.txt: an index of every page with a link to its Markdown version, following llmstxt.org.
  • llms-full.txt: every page, the API reference included, in one file.

MCP server

The docs are also served by a Model Context Protocol server at https://kit.eigenorbit.com/mcp. It needs no account or key, and it gives the assistant two tools:

  • search_docs: find the pages that match a query.
  • read_page: read one page in full, as Markdown.
claude mcp add --transport http eigenkit-docs https://kit.eigenorbit.com/mcp

Open the Connectors settings, click + Add, then Add custom connector. Enter the name eigenkit-docs and the URL https://kit.eigenorbit.com/mcp, and choose No sign in.

Add the server to ~/.cursor/mcp.json, or to .cursor/mcp.json in a project:

{
  "mcpServers": {
    "eigenkit-docs": {
      "url": "https://kit.eigenorbit.com/mcp"
    }
  }
}

Add the server to .vscode/mcp.json:

{
  "servers": {
    "eigenkit-docs": {
      "type": "http",
      "url": "https://kit.eigenorbit.com/mcp"
    }
  }
}