Overview: Lara Translate MCP Server

Title

Lara Translate MCP Server – A Model Context Protocol (MCP) Server for Lara Translate API, enabling powerful translation capabilities with support for language detection, context-aware translations, and translation memories.

How to Use

1. Installation:
   • Deploy via Docker (translatednet/lara-mcp) or npm (@translated/lara-mcp).
   • Follow the Getting Started guide for setup instructions.
2. Integration:
   • Connect AI applications supporting MCP to Lara Translate’s translation and memory tools.
   • Use structured requests for translations, language detection, and memory management.

Key Features

• Translation Tools:
  • Translate text with context-aware accuracy.
  • Supports language detection and custom instructions.
• Translation Memories:
  • Create, update, and manage translation memories.
  • Add or delete translation units for consistency.
• LLM Optimization:
  • Enhances non-English translations with specialized Translation Language Models (T-LMs).
  • Reduces computational costs and latency compared to generic LLMs.

Use Cases

• AI-Powered Translation: Improve multilingual output in chatbots, content generators, and other AI applications.
• Enterprise Localization: Maintain consistent terminology across documents using translation memories.
• Cost-Efficient Scaling: Lower tokenization costs by preprocessing translations before LLM processing.

For more details, explore the Available Tools and Introduction sections.