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Enable AI Agents to Translate Text & Files with LibreTranslate MCP Server

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Created by: David Ashby || cfomodz

David Ashby

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Last update a day ago

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Complete MCP server exposing 6 LibreTranslate API operations to AI agents.

⚡ Quick Setup

  1. Import this workflow into your n8n instance
  2. Credentials Add LibreTranslate credentials
  3. Activate the workflow to start your MCP server
  4. Copy the webhook URL from the MCP trigger node
  5. Connect AI agents using the MCP URL

🔧 How it Works

This workflow converts the LibreTranslate API into an MCP-compatible interface for AI agents.

• MCP Trigger: Serves as your server endpoint for AI agent requests
• HTTP Request Nodes: Handle API calls to http://libretranslate.local
• AI Expressions: Automatically populate parameters via $fromAI() placeholders
• Native Integration: Returns responses directly to the AI agent

📋 Available Operations (6 total)

🔧 Detect (1 endpoints)

• POST /detect: Detect Text Language

🔧 Frontend (1 endpoints)

• GET /frontend/settings: Retrieve Frontend Settings

🔧 Languages (1 endpoints)

• GET /languages: List Supported Languages

🔧 Suggest (1 endpoints)

• POST /suggest: Submit Translation Suggestion

🔧 Translate (1 endpoints)

• POST /translate: Translate File

🔧 Translate_File (1 endpoints)

• POST /translate_file: Translate file from a language to another

🤖 AI Integration

Parameter Handling: AI agents automatically provide values for:
• Path parameters and identifiers
• Query parameters and filters
• Request body data
• Headers and authentication

Response Format: Native LibreTranslate API responses with full data structure

Error Handling: Built-in n8n HTTP request error management

💡 Usage Examples

Connect this MCP server to any AI agent or workflow:

• Claude Desktop: Add MCP server URL to configuration
• Cursor: Add MCP server SSE URL to configuration
• Custom AI Apps: Use MCP URL as tool endpoint
• API Integration: Direct HTTP calls to MCP endpoints

✨ Benefits

• Zero Setup: No parameter mapping or configuration needed
• AI-Ready: Built-in $fromAI() expressions for all parameters
• Production Ready: Native n8n HTTP request handling and logging
• Extensible: Easily modify or add custom logic

🆓 Free for community use! Ready to deploy in under 2 minutes.