DeepL翻译
STDIO提供DeepL翻译功能的MCP服务器
提供DeepL翻译功能的MCP服务器
An MCP (Model Context Protocol) server providing DeepL translation capabilities.
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).Clone the repository:
git clone https://github.com/watchdealer-pavel/deepl-mcp-server.git cd deepl-mcp-server
Install dependencies:
npm install # or # yarn install
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
).
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.
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).)
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": [] }
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.)
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": [] }
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>
This project is licensed under the MIT License - see the LICENSE file for details.