Add DeepL MCP Server docs to Developer Tools (#267)

* Add DeepL MCP Server documentation to Developer Tools

Adds a user-facing guide for the pre-built deepl-mcp-server package,
covering installation, configuration for Claude Code/Desktop, and
the 8 available tools. This complements the existing MCP cookbook
(which teaches building a custom server from scratch).

Also creates the Developer Tools navigation group under Getting Started,
moving client-libraries into it alongside the new MCP server page.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* Apply docs-reviewer feedback to MCP server page

- Bold table headers for consistency with other docs
- Rename "Further reading" to "Next steps" with action-oriented lead-ins
- Add brief MCP explanation sentence for first-time readers

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: theAPILife

docs.json

@@ -45,7 +45,8 @@
                 "group": "Developer Tools",
                 "pages": [
                   "docs/getting-started/client-libraries",
-                  "docs/getting-started/deepl-cli"
+                  "docs/getting-started/deepl-cli",
+                  "docs/getting-started/deepl-mcp-server"
                 ]
               },
               "docs/getting-started/managing-api-keys",

docs/getting-started/deepl-mcp-server.mdx

@@ -0,0 +1,119 @@
+---
+title: "DeepL MCP Server"
+description: "Use the DeepL MCP Server to add translation capabilities to Claude, Cursor, and other AI agents."
+public: true
+---
+
+**This page shows you:**
+- What the DeepL MCP Server does and when to use it
+- How to install and configure it for Claude Code and Claude Desktop
+- What tools are available to your AI agent
+
+The [DeepL MCP Server](https://github.com/DeepLcom/deepl-mcp-server) is an open-source (MIT license) [Model Context Protocol](https://modelcontextprotocol.io/) server that gives AI agents access to DeepL's translation, text improvement, and glossary capabilities. MCP lets AI agents discover and call external tools through a standardized protocol — your agent sends a tool request to the MCP server, which calls the DeepL API and returns the result.
+
+<Note>
+If you want to build a custom MCP server from scratch using the DeepL API, see the [MCP Server Cookbook](/docs/learning-how-tos/examples-and-guides/deepl-mcp-server-how-to-build-and-use-translation-in-llm-applications).
+</Note>
+
+## Prerequisites
+
+- [Node.js](https://nodejs.org/) v18 or later
+- A DeepL API key ([create a free account](https://www.deepl.com/en/pro/change-plan#developer))
+
+## Quick start
+
+Run the server directly with npx:
+
+```bash
+npx deepl-mcp-server
+```
+
+Or install it locally:
+
+```bash
+npm install deepl-mcp-server
+```
+
+## Configuration
+
+<Tabs>
+<Tab title="Claude Code">
+
+Add the MCP server to Claude Code with a single command:
+
+```bash
+claude mcp add deepl -e DEEPL_API_KEY=your-api-key -- npx deepl-mcp-server
+```
+
+Claude Code will now have access to DeepL translation tools in every session.
+
+</Tab>
+<Tab title="Claude Desktop">
+
+Add the following to your Claude Desktop configuration file:
+
+- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
+- **Windows**: `%AppData%\Claude\claude_desktop_config.json`
+- **Linux**: `~/.config/Claude/claude_desktop_config.json`
+
+```json
+{
+  "mcpServers": {
+    "deepl": {
+      "command": "npx",
+      "args": ["deepl-mcp-server"],
+      "env": {
+        "DEEPL_API_KEY": "your-api-key"
+      }
+    }
+  }
+}
+```
+
+Restart Claude Desktop to activate the server.
+
+</Tab>
+<Tab title="Other MCP clients">
+
+The DeepL MCP Server works with any MCP-compatible client. Configure it using the `npx deepl-mcp-server` command and pass your API key via the `DEEPL_API_KEY` environment variable.
+
+Refer to your client's documentation for how to add MCP servers.
+
+</Tab>
+</Tabs>
+
+## Available tools
+
+Once configured, your AI agent can use the following tools:
+
+| **Tool** | **Description** |
+|----------|-----------------|
+| `translate-text` | Translate text between languages with automatic source language detection |
+| `translate-document` | Translate documents (PDF, DOCX, PPTX, XLSX, HTML, TXT) with format preservation |
+| `rephrase-text` | Improve and rephrase text with customizable writing style and tone |
+| `get-source-languages` | List all available source languages |
+| `get-target-languages` | List all available target languages |
+| `get-glossary-info` | Retrieve details about a specific glossary |
+| `get-glossary-entries` | Fetch dictionary entries from a glossary |
+| `list-glossaries` | List all glossaries in your account |
+
+## Example usage
+
+Once the MCP server is connected, you can ask your AI agent things like:
+
+- "Translate this email into German with formal tone"
+- "Translate my report.pdf into French"
+- "Rephrase this paragraph to sound more professional"
+- "What languages does DeepL support?"
+- "Show me the entries in my marketing glossary"
+
+The agent will automatically use the appropriate DeepL tool to fulfill the request.
+
+## Next steps
+
+Now that you know how to use the DeepL MCP Server:
+
+- **Explore the source:** Review the [DeepL MCP Server on GitHub](https://github.com/DeepLcom/deepl-mcp-server) for full documentation and source code
+- **Build your own:** Follow the [MCP Server Cookbook](/docs/learning-how-tos/examples-and-guides/deepl-mcp-server-how-to-build-and-use-translation-in-llm-applications) to create a custom MCP server from scratch
+- **Set up authentication:** Learn about [DeepL API authentication](/docs/getting-started/auth) and key management
+- **Use client libraries:** Explore the [official SDKs](/docs/getting-started/client-libraries) for Python, Node.js, and more