Lingvanex Text Translator

by lingvanex-mt

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Description

## Overview ### what is Lingvanex Text Translator MCP Server? Lingvanex Text Translator MCP Server is a **Model Context Protocol (MCP) server** that provides multilingual text translation using the **Lingvanex API**. It can be used by Claude Desktop or any MCP-compatible client…

About

Details

Author: lingvanex-mt
Downloads: 177
Categories: Other, Communication, AI

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Lingvanex Text Translator

Command (node, npx, python, etc.) node
Arguments
- Argument 1 ./dist/index.js
Environment
- TRANSPORT stdio
- LINGVANEX_API_KEY your_api_key_here
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

From the repository

You need a Lingvanex account and API key. Install dependencies, build the project, and start the server. It can run in stdio mode for Claude Desktop integration, or in HTTP mode to expose a local API for browsers, curl, or other HTTP clients.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "lingvanex text translator": {
            "command": "node",
            "args": [
                "./dist/index.js"
            ],
            "env": {
                "TRANSPORT": "stdio",
                "LINGVANEX_API_KEY": "your_api_key_here"
            }
        }
    }
}

Command

"node"

Args

[
    "./dist/index.js"
]

Env

{
    "TRANSPORT": "stdio",
    "LINGVANEX_API_KEY": "your_api_key_here"
}

What can you do with Lingvanex Translate MCP?

- Translate text between languages— ask your AI assistant to translate a phrase usingtranslate_textby specifying the text, source language, and target language codes.
- Integrate translation into Claude Desktop— configure the server inclaude_desktop_config.jsonso Claude can calltranslate_textdirectly during conversations.
- Run the server over HTTP for testing— start the server in HTTP mode and usecurlor the MCP Inspector to verify the/pingendpoint and translation flow.

This project implements anMCP (Model Context Protocol) serverfor text translation. The server supports two transports:

- stdio– for integration with Claude Desktop
- http (streamable)– for testing and working via HTTP + SSE

- Node.js >= 18
- Yarn or npm
- InstalledClaude Desktop(for stdio integration)
- Lingvanex Translator account for text translation

To use the Lingvanex Translator you'll need a Lingvanex account.
-

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

- To get a free trial, it isnot necessaryto add your payment card

YourAPI keywill be generated and visible in theCloud APItab: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).

# Clone the repository git clone https://github.com/lingvanex-mt/MCP-Lingvanex-Translate.git cd mcp-prototype

stdiomode is used by Claude Desktop to connect to local MCP servers.

MCP stdio transport running Translate MCP Server ready

httpmode runs a local HTTP server with HTTP transport. Useful for browser testing or withcurl.

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

In the MCP Inspector UI, select Transport Type - Streamable HTTP; URL -http://localhost:3000/mcp. Click Connect.

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

Open (or create)claude_desktop_config.jsonand add:

{ "mcpServers": { "translate": { "command": "node", "args": [ "C:\\Users\\path\\to\\project\\dist\\index.js" ] } } }

⚠️ Make sure to update the path to your localdist/index.jsafter build!
- Launch Claude Desktop.
- Enter a request like:"Use the MCP tooltranslate_textto translate 'Hello world' into Russian."
- If everything is configured correctly, Claude will call your MCP server and return the translation.

Translate text from one language into another.

- text– the text to translate
- sourceLang– source language code (e.g."en")
- targetLang– target language code (e.g."ru")

{ "tool": "translate_text", "args": { "text": "Good morning", "sourceLang": "en", "targetLang": "fr" } }

{ "content": [ { "type": "text", "text": "Bonjour" } ] }

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Description

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

Command

Args

Env

What can you do with Lingvanex Translate MCP?

Spimov AI Video Dubbing MCP Server - Youtube Dubbing - Voice Clone

Install

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