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Connect AI Tools with Model Context Protocol

Integrate Lingo.dev's translation capabilities directly into your favorite AI tools using the Model Context Protocol (MCP).

What is MCP?

The Model Context Protocol allows AI tools to access external services like Lingo.dev, enabling you to translate content without leaving your preferred environment.

Supported AI Tools

Lingo.dev works with these popular MCP-compatible tools:

Core Command

All integrations use this basic command:

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

Replace <api-key> with your project API key from the Lingo.dev dashboard.

Tool-Specific Setup

Cursor

  1. Open Cursor Settings
  2. Select the MCP tab
  3. Click + Add new MCP server
  4. Configure with:
    • Name: Lingo.dev
    • Type: command
    • Command: npx -y lingo.dev mcp <api-key>
  5. Look for the green status indicator and "translate" tool in the list

Claude Desktop

  1. Open Settings in Claude desktop
  2. Navigate to the Developer tab
  3. Click Edit Config to open the configuration file
  4. Add this JSON configuration:
json
{
  "mcpServers": {
    "lingodotdev": {
      "command": "npx",
      "args": ["-y", "lingo.dev", "mcp", "<api-key>"]
    }
  }
}
  1. Save the file and restart Claude
  2. Look for the hammer icon in the chat input showing your MCP connection

Cline for VS Code

  1. Open Cline sidebar (Cmd+Shift+P, type > cline: focus on view)
  2. Click the MCP Servers icon in the top right
  3. Select Configure MCP Servers
  4. Add this JSON configuration:
json
{
  "mcpServers": {
    "lingodotdev": {
      "command": "npx",
      "args": ["-y", "lingo.dev", "mcp", "<api-key>"]
    }
  }
}
  1. Save the file
  2. Verify the "lingodotdev" server appears with the "translate" tool available

Using the Integration

Once connected, you can ask your AI tool to translate content using Lingo.dev's powerful translation engine. Simply request translations in your normal interactions with the AI tool, and it will use Lingo.dev's capabilities behind the scenes.

Example prompts:

  • "Translate this paragraph to Spanish using Lingo.dev"
  • "Use Lingo.dev to translate this JSON file to German"