Lingo.dev Translation MCP Server

Overview

Lingo.dev offers a translation service that integrates with AI tools through the Model Context Protocol (MCP). This integration allows you to translate content directly within your AI environment without switching between different applications.

Installation

To connect Lingo.dev to your AI tool, you'll need to set up an MCP server using your Lingo.dev API key. The general command format is:

npx -y lingo.dev mcp <api-key>

You can find your API key in the Lingo.dev app under your project settings at https://lingo.dev/app/.

Installation for Cursor

1. Open Cursor and navigate to Cursor Settings
2. Select the MCP tab
3. Click the "+ Add new MCP server" button
4. Enter the following details:
   • Name: Lingo.dev
   • Type: command
   • Command: npx -y lingo.dev mcp <api-key> (replace <api-key> with your actual project API key)
5. After successful connection, you'll see a green status indicator and the "translate" tool will appear in the available tools list

Installation for Claude Desktop

1. Open Claude desktop and go to Settings
2. Navigate to the Developer tab
3. Click "Edit Config" to open the configuration file in your file explorer
4. Open the file in a text editor
5. Add the following configuration (replace <api-key> with your actual project API key):

{
  "mcpServers": {
    "lingo": {
      "command": "npx",
      "args": ["-y", "lingo.dev", "mcp", "<api-key>"]
    }
  }
}

6. Save the configuration file
7. Restart Claude desktop
8. In the chat input, you should now see a hammer icon indicating your MCP server is connected

Installation for Other MCP-Compatible Tools

For other MCP-compatible tools like Cline for VS Code, refer to the tool's documentation for specific instructions on adding an MCP server. You'll need to configure the tool to run the Lingo.dev MCP command with your API key.

Using Lingo.dev Translation

Once connected, you can ask your AI tool to translate content using Lingo.dev's service. Simply prompt the AI to translate text, and it will utilize the "translate" tool provided by Lingo.dev to process your request.

For example, you might ask:

• "Translate this paragraph into Spanish"
• "Help me localize this JSON file into German"
• "Translate this website content into Japanese"

The AI will use Lingo.dev's translation capabilities to fulfill your request while maintaining the context and quality of the original content.