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Lookio documentation

Add your documents, give them to assistants, and get answers with sources from the app, the REST API, the CLI or an MCP client.

Lookio answers questions from your own knowledge. You add resources (texts, files, web pages, whole websites), you give them to an assistant, and the assistant answers with the passages it relied on.

Importing is free. Only asking a question spends credits.

Get started

Add a resource, create an assistant and ask a first question, from the app or with curl.

Platform guides

Resources, tags, assistants, chat, credits, members and API keys in the web app.

REST API

Everything the app does, over HTTP, with one error format and safe retries.

CLI

The lookio command for terminals, CI jobs and coding agents.

MCP

Connect Claude, Cursor or ChatGPT to your workspace.

Useful references

Use these docs with your AI tools

An AI agent can read this documentation directly. You do not need an account or an API key. Everything here is public and read-only.

Query these docs via MCP

Recommended

Add this server to Claude, Claude Code, Cursor, Mistral, or any tool that supports MCP. Your agent can then search Lookio Docs documentation and read it in full, instead of answering from memory.

https://lookio.app/docs/mcp
  • searchFind the passages that answer a question.
  • fetchRead one page in full, as Markdown.
  • list_pagesSee every page in this documentation.

Query these docs over HTTP

The same tools also work as plain web requests. Use this for scripts, or for any tool that does not support MCP. There is one endpoint per tool. Arguments go in the query string, and the answer comes back as JSON.

https://lookio.app/docs/api/docs/search?query=custom+domain

Read the OpenAPI description. It is built from the same definitions as the tools, so it always matches what the endpoints do.

Read these docs as Markdown

Add .md to any page URL to get its Markdown source. You can also send the headerAccept: text/markdown to the page URL itself.

To read the whole documentation in one file, open llms-full.txt. For a short index of every page, open llms.txt.