npx mcpbar@latest install watchdealer-pavel/deepl-mcp-server -c claude

npx mcpbar@latest edit -c claude

{
  "mcpServers": {
    "DeepL Translator": {
      "command": "npx",
      "args": [
        "-y",
        "deepl-mcp-server"
      ],
      "env": {
        "DEEPL_API_KEY": "${input:deepl_api_key}",
        "YOUR_DEEPL_API_KEY": "${input:your_deepl_api_key}"
      }
    }
  }
}

DeepL MCP Server

An MCP (Model Context Protocol) server providing DeepL translation capabilities.

Features

This server exposes the following tools via MCP:

• translate_text: Translates one or more text strings between supported languages using the DeepL API.
• list_languages: Retrieves the list of languages supported by the DeepL API (either source or target languages).

Prerequisites

• Node.js and npm/yarn: Required to install dependencies and run the server.
• DeepL API Key: You need an API key from DeepL. Both Free and Pro plans provide API access. Sign up or learn more at https://www.deepl.com/pro-api.

Installation

1. Clone the repository:

   git clone https://github.com/watchdealer-pavel/deepl-mcp-server.git
   cd deepl-mcp-server
   

2. Install dependencies:

   npm install
   # or
   # yarn install
   

3. Build the server:

   npm run build
   

   This command compiles the TypeScript source code into JavaScript, placing the output in the build/ directory (specifically build/index.js).

Configuration

The server requires your DeepL API key to be provided via the DEEPL_API_KEY environment variable. You need to configure your MCP client (like Cline/Roo Code or the Claude Desktop App) to run this server and pass the environment variable.

Example Configuration:

Below are examples for common MCP clients. Remember to replace /path/to/your/deepl-mcp-server/build/index.js with the actual absolute path to the compiled server file on your system, and YOUR_DEEPL_API_KEY with your real DeepL API key.

Cline / Roo Code (VS Code Extension)

1. Open your VS Code settings for MCP servers. On macOS, this is typically located at: ~/Library/Application Support/Code/User/globalStorage/rooveterinaryinc.roo-cline/settings/mcp_settings.json (Note: The exact path might vary based on your operating system and VS Code installation type (e.g., Insiders).)

2. Add the following configuration block under the mcpServers key:

   "deepl-translator": {
     "command": "node",
     "args": ["/path/to/your/deepl-mcp-server/build/index.js"], // <-- IMPORTANT: Replace with the ACTUAL absolute path to build/index.js
     "env": {
       "DEEPL_API_KEY": "YOUR_DEEPL_API_KEY" // <-- IMPORTANT: Replace with your DeepL API Key
     },
     "disabled": false,
     "alwaysAllow": []
   }
   

Claude Desktop App

1. Open the Claude Desktop App configuration file. On macOS, this is typically located at: ~/Library/Application Support/Claude/claude_desktop_config.json (Note: The exact path might vary based on your operating system.)

2. Add the following configuration block under the mcpServers key:

   "deepl-translator": {
     "command": "node",
     "args": ["/path/to/your/deepl-mcp-server/build/index.js"], // <-- IMPORTANT: Replace with the ACTUAL absolute path to build/index.js
     "env": {
       "DEEPL_API_KEY": "YOUR_DEEPL_API_KEY" // <-- IMPORTANT: Replace with your DeepL API Key
     },
     "disabled": false,
     "alwaysAllow": []
   }
   

Usage

Once configured, you can invoke the server's tools from your AI assistant using the use_mcp_tool command/tool.

list_languages Example

<use_mcp_tool>
  <server_name>deepl-translator</server_name>
  <tool_name>list_languages</tool_name>
  <arguments>
    {
      "type": "target" // Optional: "source" or "target". Defaults to listing all if omitted.
    }
  </arguments>
</use_mcp_tool>

translate_text Example

<use_mcp_tool>
  <server_name>deepl-translator</server_name>
  <tool_name>translate_text</tool_name>
  <arguments>
    {
      "text": ["Hello world", "How are you?"], // Required: An array of strings to translate
      "target_lang": "DE", // Required: Target language code (e.g., DE, FR, ES)
      "source_lang": "EN" // Optional: Source language code. DeepL will auto-detect if omitted.
    }
  </arguments>
</use_mcp_tool>

License

This project is licensed under the MIT License - see the LICENSE file for details.