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
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Language Detection: Automatically identifies the source language if not specified.
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Context-Aware Translations: Improve accuracy by passing domain-specific context.
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Custom Instructions: Fine-tune how translations behave (e.g., tone, terminology).
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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
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Ask Claude to translate a sentence.
Example:
“Can you translate the following sentence: ‘Mi piacerebbe andare al mare’” -
Approve the request to use Lara as a tool
The first time you run the command, Claude will ask permission to uselara-translate
via MCP.
Approve the request when prompted. -
View the translation result.
Claude will show the translated text along with a note that it used the lara-translate server.
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