Lara Translate MCP Server

Example Use Cases

• 1

  Translate text between specific source and target language codes with optional contextual hints and instruction controls.

• 2

  Manage translation memories: list, create, update, delete memories and import TMX files or add/delete individual translation units.

• 3

  Offload high-quality, domain-aware translation to a specialized T-LM service to improve non-English output and reduce LLM token costs.

Description

This Model Context Protocol (MCP) server exposes Lara Translate's translation capabilities to AI agents, transforming structured MCP requests into Lara Translate API calls while keeping credentials secure. It supports context-aware translations, language detection, instruction-driven behavior, and translation memory operations (create/list/import/add/delete). The server can run via HTTP, STDIO (npx or Docker), or be built from source, enabling easy integration with MCP-capable clients and improving multilingual quality and cost-efficiency when combined with LLM workflows.