DeepL MCP Server

What does “DeepL” MCP Server do?

The DeepL MCP Server is a Model Context Protocol (MCP) server that provides AI assistants with advanced translation capabilities by integrating the DeepL API. It serves as a middleware tool, allowing AI clients to perform real-time text translation, rephrasing, and language detection through standardized MCP interfaces. This server supports development workflows that require multilingual support, automatic language identification, and formal/informal tone adjustments. By connecting AI assistants to the DeepL API, the DeepL MCP Server enables tasks such as translating and rephrasing content, detecting language in user input, and supporting a wide range of languages—enhancing the flexibility and intelligence of AI-powered applications.

List of Prompts

No prompt templates are explicitly listed in the repository or documentation.

List of Resources

No explicit MCP resources are detailed in the repository or documentation.

List of Tools

• get-source-languages: Retrieves a list of available source languages that can be used for translation.
• get-target-languages: Provides a list of languages that are available as translation targets via the DeepL API.
• translate-text: Translates provided text into a specified target language using DeepL’s translation engine.
• rephrase-text: Rephrases the input text, either maintaining the original language or changing to another, leveraging DeepL’s rephrasing capabilities.

Use Cases of this MCP Server

• Multilingual Content Translation: Instantly translate documents, messages, or code comments between a wide range of languages, streamlining international collaboration.
• Automated Language Detection: Automatically detect the language of incoming user input, enabling dynamic adaptation of responses or UI elements in multilingual applications.
• Text Rephrasing for Clarity: Rephrase text to improve clarity, style, or tone, making content more accessible or adjusting for audience formality.
• Seamless API Integration for AI Assistants: Allow AI assistants to integrate translation and rephrasing functions directly into their workflows, improving user experience in chatbots, helpdesks, and productivity tools.
• Formal/Informal Tone Control: Adjust the formality of translations, supporting use cases where appropriate tone is critical (e.g., customer support, business communication).

How to set it up

Windsurf

No setup instructions for Windsurf are present in the repository.

Claude

1. Install Claude Desktop if not already installed.
2. Create or edit the 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
3. Add the DeepL MCP server configuration:

{
  "mcpServers": {
    "deepl": {
      "command": "npx",
      "args": ["-y", "/path/to/deepl-mcp-server"],
      "env": {
        "DEEPL_API_KEY": "your-api-key-here"
      }
    }
  }
}

4. Replace /path/to/deepl-mcp-server with the absolute path to your local repository.
5. Replace your-api-key-here with your actual DeepL API key.
6. Restart Claude Desktop.

Securing API Keys:
Use the env field to store API keys securely. Example is shown above in the JSON snippet.

Cursor

No setup instructions for Cursor are present in the repository.

Cline

No setup instructions for Cline are present in the repository.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "deepl": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “deepl” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the above, the DeepL MCP Server is focused and production-ready for translation tasks, but lacks documented prompt templates and resources, and has limited out-of-the-box configuration guides for platforms other than Claude. It covers essential security with API key management and offers a robust set of translation tools.

Our opinion

This MCP server scores moderately high for utility and real-world applicability due to its robust translation tools and straightforward Claude integration, but loses points for lack of resource and prompt documentation and limited cross-platform setup guidance.

MCP Score