Lara Translate MCP Server
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Integrations
Supports running the MCP server in a Docker container, providing an isolated environment with all dependencies for the Lara Translate integration.
Enables running the MCP server directly through NPX, allowing users to execute the package without installing it locally.
Supports local development and package management for the MCP server through pnpm, which is used for installing dependencies and building the project.
Lara Translate MCP Server
A Model Context Protocol (MCP) Server for Lara Translate API, enabling powerful translation capabilities with support for language detection and context-aware translations.
Table of Contents
- Introduction
- Features
- Available Tools
- Prerequisites
- Installation & Setup
- Configuration Location
- Verifying Installation
- Usage Examples
- Support
Introduction
What is MCP?
Model Control Protocol (MCP) is a standardized communication protocol that allows AI applications to connect with external tools and services. MCP servers act as bridges between AI models and specific functionalities, enabling AI applications to perform specialized tasks beyond their built-in capabilities.
How Lara Translate MCP Works
The Lara Translate MCP Server enables AI applications to access Lara Translate API. When integrated with an MCP-compatible AI application:
- Connection: The AI application connects to the Lara Translate MCP Server
- Request: When translation is needed, the application sends a structured request to the MCP server
- Processing: The MCP server forwards the request to Lara Translate's API
- Response: Translation results are returned to the AI application
This integration allows AI applications to seamlessly incorporate high-quality translations into their workflows without needing to directly implement the translation API.
Features
- Language Detection: Automatic detection of source language when not specified
- Context-Aware Translations: Provide contextual hints to improve translation quality
- Custom Instructions: Fine-tune translation behavior with specific instructions
- Multi-Language Support: Translate between numerous language pairs
Available Tools
translate
- Translate text between languages with support for language detection and context-aware translations
- Inputs:
text
(array): An array of text blocks to translate, each with:text
(string): The text contenttranslatable
(boolean): Whether this block should be translated
source
(optional string): Source language code (e.g., 'en-EN' for English)target
(string): Target language code (e.g., 'it-IT' for Italian)context
(optional string): Additional context to improve translation qualityinstructions
(optional string[]): Instructions to adjust translation behaviorsource_hint
(optional string): Guidance for language detection
- Returns: Translated text blocks maintaining the original structure
Prerequisites
Before installing, you need to:
- Obtain API credentials from Lara Translate:
- Create an account on the Lara website
- Subscribe to any plan (including the free tier)
- Navigate to the API section in your account
- Generate a new pair of Lara API credentials
- Store your
LARA_ACCESS_KEY_ID
andLARA_ACCESS_KEY_SECRET
securely
Note: If you lose your credentials, they cannot be recovered, and you'll need to generate new ones.
Installation & Setup
There are three ways to install and run the Lara Translate MCP Server:
Option 1: Using Docker (recommended)
This option requires Docker to be installed on your system.
- Add the following to your MCP configuration file:
- Replace
<YOUR_ACCESS_KEY_ID>
and<YOUR_ACCESS_KEY_SECRET>
with your actual Lara API credentials.
Option 2: Using NPX
This option requires Node.js to be installed on your system.
- Add the following to your MCP configuration file:
- Replace
<YOUR_ACCESS_KEY_ID>
and<YOUR_ACCESS_KEY_SECRET>
with your actual Lara API credentials.
Option 3: Building from Source (recommended for development)
Using Node.js
- Clone the repository:
- Install dependencies and build:
- Add the following to your MCP configuration file:
- 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:
- Build the Docker image:
- Add the following to your MCP configuration file:
- Replace
<YOUR_ACCESS_KEY_ID>
and<YOUR_ACCESS_KEY_SECRET>
with your actual credentials.
Configuration Location
The MCP configuration file location depends on the AI application you're using. Common locations include:
- Claude Desktop:
- Windows:
%APPDATA%\Claude Desktop\claude_desktop_config.json
- macOS:
~/Library/Application Support/Claude Desktop/claude_desktop_config.json
- Linux:
~/.config/Claude Desktop/claude_desktop_config.json
- Windows:
- Other Applications: Refer to the specific application's documentation for configuration file location
If the configuration file doesn't exist, you'll need to create it.
Verifying Installation
After setting up the MCP server and restarting your AI application:
- Open your MCP-compatible application
- Check if the translation functionality is available by trying a simple translation command:Copy
Usage Examples
Basic Translation
Prompt:
API Input:
API Output:
With Instructions
Prompt:
API Input:
API Output:
Support
For issues with Lara Translate API, contact Lara Support.
For issues with this MCP Server, open an issue on the GitHub repository.
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An MCP server providing machine translation capabilities via the Lara Translate API, featuring language detection and context-aware translations between numerous language pairs.