Transform your Rocket.Chat into an intelligent, automated messaging hub with this powerful n8n workflow that automatically monitors unread direct messages and sends intelligent responses back to users. What this workflow does This automation runs on a scheduled basis to streamline your Rocket.Chat message handling. Here's the complete process: Automatically checks Rocket.Chat for unread direct messages using the Schedule Trigger node Calls the Rocket.Chat subscriptions.get endpoint to retrieve current message subscriptions Splits and filters responses to identify unread direct-message conversations Loops through each conversation thread individually to process messages Extracts and selects the latest user message as input for response generation Includes a customizable No Operation step where you can add AI models, business rules, or message formatting logic Automatically sends processed replies back to Rocket.Chat conversations Use cases This Rocket.Chat automation workflow is perfect for: Automated customer support - Handle common inquiries and route complex issues appropriately AI-powered chat responses - Integrate with AI models to provide intelligent, context-aware replies Business process automation - Process support tickets, lead qualification, or internal communications 24/7 message handling - Ensure no direct messages go unnoticed, even outside business hours Technical details This n8n workflow leverages multiple specialized nodes including Code, No Op, Sort, Filter, Split Out, and native Rocket.Chat integration nodes. Before deployment, you'll need to configure your Rocket.Chat API credentials, server URL, and ensure your bot or user account has proper messaging permissions. The workflow's modular design makes it easy to customize the message processing logic to fit your specific automation needs, whether you're building simple auto-responses or complex AI-driven conversation flows.
