Lingvanex Translate MCP Server
OfficialThis MCP server provides text translation capabilities using the Lingvanex Translator API. It offers:
Text translation between languages - Use the
translate_texttool to convert text from one language to another using 2-letter language codes (e.g., "en", "fr", "ru")Claude Desktop integration - Works as a local MCP server via stdio transport, enabling translations through natural language requests in Claude conversations
HTTP transport mode - Run as a standalone HTTP server for testing with curl, browsers, or MCP Inspector
Real-time translation - Processes requests synchronously and returns translated text immediately
Free trial available - Access Lingvanex's translation API without payment card during trial period
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Lingvanex Translate MCP Servertranslate 'Good morning' from English to French"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Prototype – Translate Server
This project implements an MCP (Model Context Protocol) server for text translation. The server supports two transports:
stdio – for integration with Claude Desktop
http (streamable) – for testing and working via HTTP + SSE
⚙️ Requirements
Node.js >= 18
Yarn or npm
Installed Claude Desktop (for stdio integration)
Lingvanex Translator account for text translation
🔑 Lingvanex Translator Setup
To use the Lingvanex Translator you'll need a Lingvanex account.
If you don't have one, sign up for free
Go to the Cloud API tab: Cloud API
Fill out the Billing Address data
Click Continue to payment
To get a free trial, it is not necessary to add your payment card
Your API key will be generated and visible in the Cloud API tab: API key
Now you are ready to start using the translation API. Below is a video tutorial of the overall process (if available on Lingvanex site).
🚀 Installation & Build
# Clone the repository
git clone https://github.com/lingvanex-mt/MCP-Lingvanex-Translate.git
cd mcp-prototypeInstall dependencies
yarn install🔌 Run in stdio mode (Claude Desktop)
stdio mode is used by Claude Desktop to connect to local MCP servers.
Set environment variable:
TRANSPORT=stdio
Start the server:
yarn build
yarn startExpected output:
MCP stdio transport running
Translate MCP Server ready🌐 Run in HTTP mode (streamable)
http mode runs a local HTTP server with HTTP transport.
Useful for browser testing or with curl.
Set environment variables:
TRANSPORT=http
HTTP_PORT=3000Start the server:
yarn build
yarn startTest the server:
curl http://127.0.0.1:3000/pingExpected response:
{ "status": "ok", "transport": "http" }Use MCP Inspector for debugging:
npx @modelcontextprotocol/inspectorIn the MCP Inspector UI, select Transport Type - Streamable HTTP; URL - http://localhost:3000/mcp. Click Connect.
🖥️ Integration with Claude Desktop
Claude Desktop discovers local MCP servers via config file:
Windows:
%APPDATA%\Claude\claude_desktop_config.jsonmacOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonLinux:
~/.config/Claude/claude_desktop_config.json
Example config (Windows)
Open (or create) claude_desktop_config.json and add:
{
"mcpServers": {
"translate": {
"command": "node",
"args": [
"C:\\Users\\path\\to\\project\\dist\\index.js"
]
}
}
}⚠️ Make sure to update the path to your local
dist/index.jsafter build!
✅ How to verify
Launch Claude Desktop.
Enter a request like: "Use the MCP tool
translate_textto translate 'Hello world' into Russian."If everything is configured correctly, Claude will call your MCP server and return the translation.
📌 Available Tools
translate_text
Translate text from one language into another.
Arguments:
text– the text to translatesourceLang– source language code (e.g."en")targetLang– target language code (e.g."ru")
Example request:
{
"tool": "translate_text",
"args": {
"text": "Good morning",
"sourceLang": "en",
"targetLang": "fr"
}
}Example response:
{
"content": [
{ "type": "text", "text": "Bonjour" }
]
}Resources
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