How to Use the LibreTranslate API MCP in Cursor

Q: How do I configure the LibreTranslate API in Cursor?

Add the MCP Server to your .cursor/mcp.json file in your project root or your global settings. Specify the command and environment variables to connect Cursor to your LibreTranslate instance.

Translate code comments and detect string languages directly inside Cursor with the LibreTranslate API MCP Server.

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Connect LibreTranslate API MCP to Cursor

Create your Vinkius account to connect LibreTranslate API to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup LibreTranslate API with Cursor

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Localize code comments and strings in Cursor

The `translate_text` tool lets your agent translate hardcoded strings, markdown files, and inline code comments directly inside your active workspace. You don't have to break your coding flow to translate foreign-language comments in inherited codebases. Cursor calls the tool and rewrites the target files inline. By coupling this with `list_supported_languages`, the agent checks if your target language is supported before attempting to rewrite your files. This prevents syntax errors or broken files caused by unsupported translation targets.

Identify foreign text blocks automatically in your editor

The `detect_language` tool analyzes unknown text strings in your files to determine their source language. When you open a file containing non-English comments or user-facing strings, Cursor uses this tool to identify the language code instantly. This eliminates guesswork when refactoring legacy international projects. Your agent gets the exact language code and can immediately proceed with translation or localization tasks based on that metadata.

Verify your translation server status inside Cursor

The `check_api_status` tool monitors your translation endpoint directly from the editor's agent terminal using this MCP Server. Before running batch translations on massive localization files, Cursor checks this status to ensure the service is fully operational. This check saves development time by catching network or server configuration errors early. You avoid half-translated files and corrupted translation caches if your local container crashes.

Setup guide

Set up LibreTranslate API MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the LibreTranslate API MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent LibreTranslate API transactions." If the MCP tools are loaded correctly, Cursor will call the LibreTranslate API tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "libretranslate-api-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LibreTranslate. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about LibreTranslate API MCP in Cursor

Add the MCP Server to your `.cursor/mcp.json` file in your project root or your global settings. Specify the command and environment variables to connect Cursor to your LibreTranslate instance.

Yes, Cursor uses the translation tool to process text strings extracted from your files. The agent reads the code, translates the text blocks, and writes the translated output back into your files.

No, because the tool runs as a lightweight MCP Server process. The speed of the translation depends entirely on your LibreTranslate instance, not on the editor itself.

If the translation tool returns an error, the agent stops the operation. You can check the server logs to see if your local instance hit a rate limit or ran out of system memory.

No, this MCP Server only sends the specific text strings and language metadata to your translation tools. If you configure a local LibreTranslate container, your data stays entirely on your local network.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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