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About
A Model Context Protocol (MCP) Server for Lara Translate API, enabling powerful translation capabilities with support for language detection, context-aware translations, translation memories, and glossary management.
](https://github.com/translated/lara-mcp/blob/main/LICENSE) [ [](https://www.npmjs.com/package/@translated/lara-mcp)
📚 Table of Contents
- 📖 Introduction
- 🛠 Available Tools
- 🚀 Getting Started
- 📋 HTTP Server
- 🔌 STDIO Server
- 🧪 Verify Installation
- 💻 Popular Clients that supports MCPs
- 🆘 Support
Model Context Protocol (MCP) is an open standardized communication protocol that enables AI applications to connect with external tools, data sources, and services. Think of MCP like a USB-C port for AI applications - just as USB-C provides a standardized way to connect devices to various peripherals, MCP provides a standardized way to connect AI models to different data sources and tools.
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want translated/lara-mcp again. Will you remember where to find it?
Save it to your library and the next time you need translated/lara-mcp, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. translated/lara-mcp. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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