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TagsList tags
tags

List tags

Every tag carried by a resource or followed by an assistant, with how many of each, sorted by name. There is no tag object: a tag exists while something uses it.

GET/v1/tags

Requires resources:read.

There is no tag object: a tag is a word, and the list is what is in use or kept in the workspace list. The whole list comes back in one response, sorted by name. See Tags.

Authorizations

Authorizationbearerin headerrequired

Response

application/json

List the tags in use

dataobject[]required
has_morebooleanrequired

True when another page follows: pass next_cursor back as cursor.

next_cursorstringnullrequired

Pass it back unchanged as cursor. Null on the last page.

request_idstringrequired

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.