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GlossariesList glossaries
glossaries

List glossaries

One glossary per language pair, ordered alphabetically by pair, with its term count and the plan's cap. Terms themselves are omitted by default and returned only when you fetch a single glossary — or pass expand=terms here to get full content across a page of glossaries in one call. Pagination is cursor-based: pass the next_cursor from the previous response verbatim. expand=terms clamps the page size to 10, since a glossary's terms are otherwise unbounded in size.

GET/v1/glossaries

Requires glossaries:read. The list contains summaries; retrieve one glossary to read its complete term map.

This endpoint changes nothing and consumes no credits.

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 AI Glot Docs documentation and read it in full, instead of answering from memory.

https://ai-glot.com/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://ai-glot.com/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.