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Operate AI GlotStandard MCP tools
Operate AI Glot

Standard MCP tools

Understand the 11 task-shaped AI Glot MCP tools, their required scopes, side effects and the supported-language resource.

The standard server exposes task-shaped tools rather than copying every REST endpoint one for one.

Account and usage tools

ToolScopeWhat it does
get_accountaccount:readReads workspace, plan, credits, limits and capabilities
get_credit_balanceaccount:readReads balance and every credit grant
get_usageusage:readReads credits, words and completed translations over time

These tools are read-only and consume no credits.

Translation tools

ToolScopeWhat it does
list_batchesbatches:readLists existing translations with cursor pagination
get_batchbatches:readReads one translation and its progress
get_batch_result_linkbatches:readReturns a 30-minute download link for a completed result
update_batchbatches:writeRenames, archives or restores a translation

The result-link tool returns a URL, never raw CSV content. update_batch changes housekeeping metadata only and is reversible when archiving.

Glossary tools

ToolScopeWhat it does
list_glossariesglossaries:readLists language pairs, term counts and plan limits
get_glossaryglossaries:readReads every term in one glossary
edit_glossary_termsglossaries:writeCreates if missing, then adds, changes, removes or fully replaces terms
delete_glossaryglossaries:writePermanently deletes a glossary and all its terms

edit_glossary_terms is additive by default. replace_all: true deletes every term absent from the supplied map. delete_glossary is explicitly marked destructive so supporting clients can require confirmation.

Language resource

Supported languages are exposed as the cacheable MCP resource:

text
aiglot://languages

It is a resource rather than a twelfth tool because it is static reference data. Read it before creating a language-pair glossary.

Tool results and errors

Every tool has an input and output schema and returns structured content. Errors are returned as readable tool results with a stable code and documentation URL, allowing the model to correct the request instead of treating a business error as a broken MCP connection.

Audit my recent translation usage

Copy this into an MCP-enabled assistant after connecting AI Glot.

Review my AI Glot account, credit balance and the last 30 days of usage. Then list recent failed or still-running translations, explain anything unusual, and do not modify or archive any data.

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.