MCP-Lingvanex-Translate is an MCP server that provides automated machine translation by connecting to the Lingvanex Cloud API. Designed for developers, localization teams, and multilingual users interacting with AI interfaces, it enables LLMs to translate text across more than 100 languages directly inside conversational workflows. The server acts as a bridge between Model Context Protocol clients and Lingvanex translation endpoints, exposing functions to convert text across language pairs using standard ISO language codes. Users can deploy the server locally using standard input/output transport for tight integration with desktop clients like Claude Desktop, or run it in an HTTP streamable transport mode for web testing, automation scripts, and protocol debugging using tools like curl and the MCP Inspector. By offloading multilingual processing to a specialized translation engine, MCP-Lingvanex-Translate helps AI agents generate accurate cross-language responses without relying solely on the foundational model's internal translation capabilities.
Category: Other & General Purpose
Tags: language, linguistics, lingvanex, translation
Follow these steps to install and set up MCP-Lingvanex-Translate: 1. Clone the repository and navigate to the project directory: bash git clone https://github.com/lingvanex-mt/MCP-Lingvanex-Translate.git cd mcp-prototype 2. Install dependencies and build the server: bash yarn install yarn build 3. Obtain an API key from the Lingvanex Cloud API dashboard. 4. Open your Claude Desktop configuration file (claude_desktop_config.json) and register the server: json { "mcpServers": { "translate": { "command": "node", "args": [ "/path/to/project/dist/index.js" ] } } } 5. Replace the path with the absolute path to your built dist/index.js file, save the configuration, and restart Claude Desktop.
Part of MCP Servers
MCP-Lingvanex-Translate is a Model Context Protocol server that connects AI assistants to the Lingvanex Cloud API. It provides text translation across over 100 languages using standardized MCP tool calls.
The server exposes the translate_text tool. It accepts parameters for the input text, the source language code, and the target language code, returning the translated text from the Lingvanex Cloud API.
The server supports both stdio and HTTP transports. The stdio mode is designed for direct integration with Claude Desktop, while HTTP mode runs a local web server suitable for streamable SSE connections and testing.
The server works with Claude Desktop via stdio transport and can also connect to any client supporting streamable HTTP MCP connections, such as the official MCP Inspector.
Yes, you need a Lingvanex account to obtain an API key from the Cloud API section. Lingvanex offers a free trial that does not require entering payment card details.