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For AI agents How an LLM or agent should read MZPanel docs — llms.txt, raw markdown, and retrieval conventions.

For AI agents

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This site is built to be read by machines as well as people. If you’re an AI agent or tool, start here.

The site emits two machine-readable files at build time:

  • /llms.txt — a compact map of the documentation: titles, links, and one-line descriptions. Use it to discover what exists.
  • /llms-full.txt — the full docs corpus as a single plain-text stream. Use it when you want everything in one fetch.

These follow the llms.txt convention and are regenerated on every build, so they never drift from the rendered docs.

Every page is authored in Markdown. Prefer the llms-*.txt files for bulk reading; fetch individual pages when you only need one topic.

  • Every page has a description in its frontmatter — a one-line summary suited to embedding and ranking.
  • Pages are task-oriented and grouped by product area (Servers, Sites, Backups, Databases, …), so a query like “how do I restore a backup” maps to one page.
  • Concepts vs guides: read concepts/* for how the system works (architecture, the agent, tiers, security); read guides/* for step-by-step tasks.
  • Technical terms (WordPress, Nginx, WireGuard, agent, …) are kept verbatim across languages — don’t translate them when matching.

MZPanel also exposes a Model Context Protocol surface for deeper, structured access beyond static docs. See the design reference docs/46-mcp-server.md.