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Lingvanex Translate MCP Server

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by lingvanex-mt

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.

  1. If you don't have one, sign up for free

  2. Go to the Cloud API tab: Cloud API

  3. Fill out the Billing Address data

  4. Click Continue to payment

    • To get a free trial, it is not necessary to add your payment card

  5. 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/you/mcp-prototype.git cd mcp-prototype

Install 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 start

Expected 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=3000

Start the server:

yarn build yarn start

Test the server:

curl http://127.0.0.1:3000/ping

Expected response:

{ "status": "ok", "transport": "http" }

Use MCP Inspector for debugging:

npx @modelcontextprotocol/inspector

In 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.json

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Linux: ~/.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.js after build!


✅ How to verify

  1. Launch Claude Desktop.

  2. Enter a request like: "Use the MCP tool

  3. 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 translate

  • sourceLang – 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" } ] }

Deploy Server
-
security - not tested
F
license - not found
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Enables text translation between different languages using the Lingvanex Translator API. Supports integration with Claude Desktop for natural language translation requests.

  1. ⚙️ Requirements
    1. 🔑 Lingvanex Translator Setup
      1. 🚀 Installation & Build
        1. Install dependencies
          1. 🔌 Run in stdio mode (Claude Desktop)
          2. 🌐 Run in HTTP mode (streamable)
          3. 🖥️ Integration with Claude Desktop
          4. ✅ How to verify
          5. 📌 Available Tools

        MCP directory API

        We provide all the information about MCP servers via our MCP API.

        curl -X GET 'https://glama.ai/api/mcp/v1/servers/lingvanex-mt/MCP-Lingvanex-Translate'

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