> ## Documentation Index
> Fetch the complete documentation index at: https://developers.deepl.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Docs MCP Server

> Connect your AI tools to the DeepL developer documentation for source-grounded answers about the DeepL API.

**This page shows you:**

* What the DeepL Docs MCP Server is and how it differs from the [DeepL MCP Server](/docs/getting-started/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](https://modelcontextprotocol.io/) (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.

<Note>
  This is different from the [DeepL MCP Server](/docs/getting-started/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.
</Note>

## 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.

## Setup

<Tabs>
  <Tab title="Claude Desktop">
    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
  </Tab>

  <Tab title="Claude Code">
    Run this command to add the server:

    ```bash theme={null}
    claude mcp add --transport http deepl-docs https://developers.deepl.com/mcp
    ```

    Claude Code can now search and reference DeepL documentation during your sessions.
  </Tab>

  <Tab title="Cursor">
    Open Command Palette (`Cmd+Shift+P` / `Ctrl+Shift+P`), search for "Open MCP Settings", and add the following to your `mcp.json`:

    ```json theme={null}
    {
      "mcpServers": {
        "deepl-docs": {
          "url": "https://developers.deepl.com/mcp"
        }
      }
    }
    ```
  </Tab>

  <Tab title="VS Code">
    Create a `.vscode/mcp.json` file in your project root:

    ```json theme={null}
    {
      "servers": {
        "deepl-docs": {
          "type": "http",
          "url": "https://developers.deepl.com/mcp"
        }
      }
    }
    ```
  </Tab>

  <Tab title="Other MCP clients">
    Any MCP-compatible client can connect using the server URL:

    ```
    https://developers.deepl.com/mcp
    ```

    Refer to your client's documentation for how to add remote MCP servers.
  </Tab>
</Tabs>

No API key or authentication is required.

## 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.