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Lara Translate MCP Server

Using the Lara Translate MCP Server for fast, accurate, and context-aware AI translations.

What is the Lara Translate MCP Server?

The Lara Translate MCP Server is a middleware interface that allows developers to access Lara Translate's powerful multilingual API in local or cloud environments. It supports language detection, context-aware translations, and custom translation instructions, making it ideal for production use with advanced translation workflows.

 

Key Features

  • Language Detection: Automatically identifies the source language if not specified.

  • Context-Aware Translations: Improve accuracy by passing domain-specific context.

  • Custom Instructions: Fine-tune how translations behave (e.g., tone, terminology).

  • Multi-Language Support: Works across a wide range of language pairs.

You can find full setup instructions, sample configurations, and environment setup options in the public GitHub repository:
https://github.com/translated/lara-mcp

Additional resources:
https://www.npmjs.com/package/@translated/lara-mcp
https://hub.docker.com/r/translatednet/lara-mcp/tags https://developers.laratranslate.com/docs/getting-started-with-mcp

 

Example: Using Lara as an MCP Server in Claude Desktop

  1. Ask Claude to translate a sentence.
    Example:
    “Can you translate the following sentence: ‘Mi piacerebbe andare al mare’”

  2. Approve the request to use Lara as a tool
    The first time you run the command, Claude will ask permission to use lara-translate via MCP.
    Approve the request when prompted.

  3. View the translation result.
    Claude will show the translated text along with a note that it used the lara-translate server.

Claude desktop

For detailed setup instructions, go to the official GitHub repository:
https://github.com/translated/lara-mcp#readme

 



This article is about:

  • MCP Server for AI Translations
  • Lara MCP Server
  • Multilingual MCP Server
  • Translate MCP
  • Translation MCP