translated/lara-mcp

Overview

An MCP server that wraps the Lara Translate API, providing translation and language detection capabilities through the Model Context Protocol. It accepts text input and returns translated or detected language results, designed for integration with AI assistants and developer tools.

Best for

Best for
Developers building AI assistants or tools that need programmatic translation and language detection

Use cases

• Translate text between languages in AI workflows
• Detect the language of user input automatically
• Enable context-aware translations in chat or document tools

How to use

Tools exposed

• detect_language
• list_languages
• list_memories
• create_memory
• update_memory
• delete_memory
• add_translation
• delete_translation
• import_tmx
• check_import_status
• list_glossaries
• get_glossary
• create_glossary
• update_glossary
• delete_glossary
• add_glossary_entry
• delete_glossary_entry
• import_glossary_csv
• check_glossary_import_status
• export_glossary

Tested with

Claude Desktop, Cursor, Claude Code, VS Code, Windsurf, Cline, Continue

Example client config

{\n  "mcpServers": {\n    "lara-translate": {\n      "command": "npx",\n      "args": ["-y", "@translated/lara-mcp@latest"],\n      "env": {\n        "LARA_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY_ID>",\n        "LARA_ACCESS_KEY_SECRET": "<YOUR_ACCESS_KEY_SECRET>"\n      }\n    }\n  }\n}

Notes

An MCP server that wraps the Lara Translate API, providing translation and language detection capabilities through the Model Context Protocol. It accepts text input and returns translated or detected language results, designed for integration with AI assistants and developer tools.

87 stars on GitHub. Last updated 2026-05-26. Licensed MIT.

Use cases

• Translate text between languages in AI workflows
• Detect the language of user input automatically
• Enable context-aware translations in chat or document tools

Pros

• Simple MCP interface for easy integration with AI agents
• Supports both translation and language detection in one tool
• Written in TypeScript with clear API structure

Cons

• Depends on the external Lara Translate API, requiring internet access
• Limited to the languages and features provided by Lara Translate
• Small community with only 87 GitHub stars

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.