Lara Translate MCP Server

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.

About this MCP Server: To understand how to connect to and utilize this MCP server, please refer to the official Model Context Protocol documentation at mcp.apify.com.

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📚 Table of Contents

• 📖 Introduction
• 🛠 Available Tools
• 🚀 Getting Started
• 📋 Requirements
• 🔌 Installation
• 🧩 Installation Engines
• 💻 Popular Clients that supports MCPs
• 🆘 Support

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📖 Introduction

What is MCP?

How Lara Translate MCP Works

Why use Lara inside an LLM?

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🛠 Available Tools

Translation Tools

• translate - Translate text between languages

Translation Memories Tools

• list_memories - List saved translation memories
• create_memory - Create a new translation memory
• update_memory - Update translation memory name
• delete_memory - Delete a translation memory
• add_translation - Add a translation unit to memory
• delete_translation - Delete a translation unit from memory
• import_tmx - Import a TMX file into a memory
• check_import_status - Checks the status of a TMX file import

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🚀 Getting Started

📋 Requirements

• Lara Translate API Credentials (refer to the Official Documentation)
• An LLM client that supports Model Context Protocol (MCP), such as Claude Desktop, Cursors, or GitHub Copilot
• NPX or Docker (depending on your preferred installation method)

🔌 Installation

Introduction

The installation process is standardized across all MCP clients. It involves manually adding a configuration object to your client's MCP configuration JSON file. If you're unsure how to configure an MCP with your client, please refer to your MCP client's official documentation. Lara Translate MCP supports multiple installation methods, including NPX and Docker. Below, we'll use NPX as an example.

Installation & Configuration

1. Step 1: Open your client's MCP configuration JSON file with a text editor, then copy and paste the following snippet:

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

2. Step 2: Replace <YOUR_ACCESS_KEY_ID> and <YOUR_ACCESS_KEY_SECRET> with your Lara Translate API credentials (refer to the Official Documentation for details).

3. Step 3: Restart your MCP client.

Verify Installation

After restarting your MCP client, you should see Lara Translate MCP in the list of available MCPs. The method for viewing installed MCPs varies by client. Please consult your MCP client's documentation. To verify that Lara Translate MCP is working correctly, try translating with a simple prompt:

Translate with Lara "Hello world" to Spanish

Your MCP client will begin generating a response. If Lara Translate MCP is properly installed and configured, your client will either request approval for the action or display a notification that Lara Translate is being used.

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🧩 Installation Engines

Option 1: Using NPX

Option 2: Using Docker

Option 3: Building from Source

• Using Node.js

  Clone the repository:

  git clone [https://github.com/translated/lara-mcp.git](https://github.com/translated/lara-mcp.git)
  cd lara-mcp
  

  Install dependencies and build:

  # Install dependencies
  pnpm install
  # Build
  pnpm run build
  

  Add the following to your MCP configuration file:

  {
    "mcpServers": {
      "lara-translate": {
        "command": "node",
        "args": ["<FULL_PATH_TO_PROJECT_FOLDER>/dist/index.js"],
        "env": {
          "LARA_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY_ID>",
          "LARA_ACCESS_KEY_SECRET": "<YOUR_ACCESS_KEY_SECRET>"
        }
      }
    }
  }
  

  Replace:

  • <FULL_PATH_TO_PROJECT_FOLDER> with the absolute path to your project folder
  • <YOUR_ACCESS_KEY_ID> and <YOUR_ACCESS_KEY_SECRET> with your actual Lara API credentials.

• Building a Docker Image

  Clone the repository:

  git clone [https://github.com/translated/lara-mcp.git](https://github.com/translated/lara-mcp.git)
  cd lara-mcp
  

  Build the Docker image:

  $docker build -t lara-mcp .
  

  Add the following to your MCP configuration file:

  {
    "mcpServers": {
      "lara-translate": {
        "command": "docker",
        "args": [
          "run",
          "-i",
          "--rm",
          "-e",
          "LARA_ACCESS_KEY_ID",
          "-e",
          "LARA_ACCESS_KEY_SECRET",
          "lara-mcp"
        ],
        "env": {
          "LARA_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY_ID>",
          "LARA_ACCESS_KEY_SECRET": "<YOUR_ACCESS_KEY_SECRET>"
        }
      }
    }
  }
  

  Replace <YOUR_ACCESS_KEY_ID> and <YOUR_ACCESS_KEY_SECRET> with your actual credentials.

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💻 Popular Clients that supports MCPs

For a complete list of MCP clients and their feature support, visit the official MCP clients page.

Client	Description
Claude Desktop	Desktop application for Claude AI
Aixplain	Production-ready AI Agents
Cursor	AI-first code editor
Cline for VS Code	VS Code extension for AI assistance
GitHub Copilot MCP	VS Code extension for GitHub Copilot MCP integration
Windsurf	AI-powered code editor and development environment

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🆘 Support

• For issues with Lara Translate API: Visit Lara Translate API and Integrations Support
• For issues with this MCP Server: Open an issue on GitHub

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🚩 Claim this MCP server. Contact info.

All credits to the original authors of https://github.com/translated/lara-mcp

Write to ai@apify.com

Original project URL: https://github.com/translated/lara-mcp