Connecting these tools to Lingo.dev will allow you to translate apps, websites, and other data using the best LLM models directly in your AI tool.
The Model Context Protocol (MCP) is a standard for connecting Large Language Models (LLMs) to external services. This guide will walk you through how to connect AI tools to Lingo.dev using MCP.
Some of the AI tools that support MCP are:
Connecting these tools to Lingo.dev will allow you to translate apps, websites, and other data using the best LLM models directly in your AI tool.
Add this command to your AI tool:
npx -y lingo.dev mcp <api-key>
You can find your API key in Lingo.dev app, in your project settings.
This will allow the tool to use translate
tool provided by Lingo.dev. The setup depends on your AI tool and might be different for each tool. Here is setup for some of the tools we use in our team:
+ Add new MCP server
npx -y lingo.dev mcp <api-key>
(use your project API key)Edit Config
to see configuration file in file explorer.{
"mcpServers": {
"supabase": {
"command": "npx",
"args": ["-y", "lingo.dev", "mcp", "<api-key>"]
}
}
}
You are now able to access Lingo.dev via MCP. You can ask AI tool translate any content via our service.