What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external tools and data sources. It acts as a universal bridge, standardizing how AI assistants communicate with APIs like Lara Translate.

Which AI assistants and IDEs are supported?

Because Lara MCP is built on the open standard, it works out of the box with any MCP-compliant client. This currently includes Anthropic's Claude Desktop app, modern code editors like Cursor and Zed, and an ever-growing list of tools.

Is the MCP server free to use?

The MCP server itself is free and open-source. However, when the AI assistant uses the tool to translate text, it will authenticate with your Lara API Key and consume characters from your standard API quota or pay-as-you-go plan.

MCP Server for AI Translation

The first purpose-built MCP server for language translation. Bring enterprise-grade, context-aware translation into Claude Desktop, Cursor, Windsurf, Cline, and any MCP-compatible IDE — across 200+ languages, with no custom API integration required.

Read MCP Documentation

The Universal Bridge for AI Translations

The Model Context Protocol (MCP) lets you turn Lara Translate into a native tool for your favorite AI assistants. Let them translate code, documents, and chats automatically with full context.

Universal AI Compatibility

Native integration with any MCP-compliant application. Just add the Lara server to your tool's config file and ask your AI to translate instantly.

Context Protocol Standard

Built on the open Model Context Protocol. Future-proof your integration and use Lara with emerging AI clients without rewriting custom API calls.

AI-Driven Disambiguation

Because the AI has access to your local files or chat context, it automatically feeds relevant contextual metadata to Lara, ensuring perfectly accurate translations.

Zero-Data Training Policy

Your translations are routed securely to the Lara API. We enforce strict data privacy, meaning your proprietary strings are never used to train public models.

Access 200+ Languages

Give your AI the power to understand and generate localized content in over 200 languages with production-grade reliability.

Format Handling

Because it's integrated via MCP, your AI can read your HTML, Markdown, or JSON, ask Lara to translate the raw strings, and cleanly rewrite the file.

How to connect Lara Translate to your AI assistant or IDE

Two ways to connect. Pick the remote connector for the fastest setup, or run the server locally when you need full control.

Remote connectorRecommendedLocal serverAdvanced

Connect in under two minutes with no API keys. Works with Claude Desktop, Grok, Cursor, Claude Code, VS Code, Windsurf, Cline and any MCP client that supports remote connectors.

Open connector settings

Open your client's connector settings. In Claude Desktop, go to Settings → Connectors.

Add a custom connector

Click Add Custom Connector, then enter the name and URL below.

Name: Lara
URL:  https://mcp-v2.laratranslate.com/v1

Connect and log in

Click Add → Connect, then log in with your Lara Translate credentials in the browser window that opens.

Done

Lara Translate is now available in your conversations. Read the documentation.

Need more info about Lara's MCP Server?

Get in touch to discuss your specific needs or to schedule a live demo of our solutions in action.