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This page shows you:
  • What the DeepL Docs MCP Server is and how it differs from the DeepL MCP Server
  • How to connect it to Claude, Cursor, VS Code, and other AI tools
The DeepL developer documentation site exposes a Model Context Protocol (MCP) server at https://developers.deepl.com/mcp. This lets AI tools search and read our documentation directly, so they can give you accurate, up-to-date answers about the DeepL API without relying on training data.
This is different from the DeepL MCP Server, which gives AI agents the ability to call the DeepL API (translate text, manage glossaries, etc.). The Docs MCP Server provides read-only access to the documentation itself.

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What it provides

When connected, your AI tool gets two capabilities:
  • Search: Find relevant documentation pages by keyword, returning snippets with titles and links
  • Read: Navigate and read full pages from the documentation site
Your AI tool decides when to use each capability based on the conversation context. For example, if you ask “How do I use glossaries with the DeepL API?”, the tool can search the docs, pull up the relevant pages, and give you an answer grounded in the actual documentation.

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Setup

  1. Open Claude Desktop and go to Settings > Connectors
  2. Click Add custom connector
  3. Enter a name (e.g., “DeepL Docs”) and the URL: https://developers.deepl.com/mcp
  4. In any chat, click the attachments icon and select the connector to activate it
No API key or authentication is required.

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Example prompts

Once connected, try asking your AI tool questions like:
  • “How do I translate a document using the DeepL API?”
  • “What parameters does the text translation endpoint accept?”
  • “How do glossaries work in DeepL?”
  • “What are the rate limits for the DeepL API?”
The AI tool will search the documentation and return answers with references to specific pages.