AI Resources

llms.txt

Machine-readable documentation — the index, the full concatenated text, and per-page markdown endpoints this site serves for agents.

This documentation site serves machine-readable twins of every page, following the llms.txt convention — so an agent can pull exactly the docs it needs (or all of them) instead of scraping HTML. Three endpoints, three granularities:

EndpointContainsPull it when
/llms.txtIndex of every docs page (title, link, description)The agent needs the map — what exists, where
/llms-full.txtAll pages concatenated as one markdown documentYou want the whole docs in one context window
/llms.mdx/docs/⟨slug⟩One page as markdownThe agent needs just the Vault page, say

Use them

# the map
curl https://oke.omqkhafi.dev/llms.txt

# everything, for stuffing into context
curl https://oke.omqkhafi.dev/llms-full.txt

# one page — e.g. the Vault element
curl https://oke.omqkhafi.dev/llms.mdx/docs/elements/vault

Which one first?

Start with /llms.txt — it is small and tells the agent which slugs exist. Fetch /llms-full.txt only when breadth matters more than tokens; per-page /llms.mdx is the precise instrument.

How it pairs with the docs MCP

These endpoints serve the published docs of the framework. During oke dev, the docs MCP server also runs on :6536 (oke.docs.search / oke.docs.get), answering from the same content over the MCP protocol — pick the plain HTTP endpoints for one-shot context, the MCP tools when the agent is already connected as a client.

Learn more

  • MCP — runtime and docs MCP servers
  • Agent contracts — teaching agents the vocabulary these pages use
  • Reference — the most-cited pages for config questions

Next

On this page