Analyze Telegram messages with OpenAI and send notifications via Gmail & Telegram
AI-powered Telegram message analysis with multi-tool notifications (Gmail, Telegram) This workflow triggers on Telegram updates, analyzes messages with an AI Agent using MCP tools, and sends notifications via Gmail and Telegram. Detailed Description Who is this for? This template is for teams, businesses, or individuals using Telegram for communication who need automated, AI-driven insights and notifications. It’s ideal for customer support teams, project managers, or tech enthusiasts wanting to process Telegram messages intelligently and receive alerts via Gmail and Telegram. What problem is this workflow solving? Use case This workflow solves the challenge of manually monitoring Telegram messages by automating message analysis and notifications. For example, a support team can use it to analyze customer queries on Telegram with AI tools (OpenAI, Airbnb, Brave, FireCrawl) and get notified via Gmail and Telegram for quick responses. What this workflow does The workflow: Triggers on a Telegram update (e.g., a new message) using the Listen for Telegram Updates node. Processes the message with the Analyze Message with AI node, an AI Agent using MCP tools like OpenAI Chat, Airbnb search, Brave search, and FireCrawl. Sends notifications via the Send Gmail Notification and Send Telegram Alert nodes, including AI-generated insights. Setup Prerequisites: Telegram bot token for the trigger and notification nodes. Gmail API credentials for sending emails. API keys for OpenAI, Airbnb, Brave, and FireCrawl (used in the AI Agent). Steps: Configure the Listen for Telegram Updates node with your Telegram bot token. Set up the Analyze Message with AI node with your OpenAI API key and other tool credentials. Configure the Send Gmail Notification node with your Gmail credentials. Set up the Send Telegram Alert node with your Telegram bot token. Test by sending a Telegram message to trigger the workflow. Setup takes ~15-30 minutes. Detailed instructions are in sticky notes within the workflow. How to customize this workflow to your needs Add more AI tools (e.g., sentiment analysis) in the Analyze Message with AI node. Modify the notification message in the Send Gmail Notification and Send Telegram Alert nodes to include specific AI outputs. Add nodes for other channels like Slack or SMS after the AI Agent. Disclaimer This workflow uses Community nodes (e.g., Airbnb, Brave, FireCrawl), which are available only in self-hosted n8n instances. Ensure your n8n setup supports Community nodes before using this template.
By ImmanuelProcess & summarize PDFs from email & messaging apps with OpenAI GPT
Process PDFs from Gmail, Outlook, Telegram and WhatsApp with OpenAI Transform PDF documents into actionable insights automatically across multiple platforms. This workflow monitors emails and messaging platforms for PDF attachments, extracts content, and delivers AI-powered summaries. Who's it for Business professionals, teams, and organizations needing automated PDF analysis from emails and messaging platforms. Perfect for processing contracts, reports, invoices, and documents requiring quick review. How it works Monitors Gmail and Outlook for PDF attachments while receiving PDFs via Telegram bot and WhatsApp Business API. Uses OpenAI to extract text and generate structured summaries with executive overviews, key points, important details, insights, and document type identification. Automatically routes summaries back to original senders. Requirements Gmail/Outlook OAuth2 credentials Telegram Bot API token via @BotFather WhatsApp Business API account OpenAI API key How to set up Configure API credentials in respective nodes, update configuration variables for phone numbers and notification settings, then test with sample PDFs. How to customize Modify AI models, customize prompts, adjust response formatting, extend file support, add notification channels, or integrate with external systems. Perfect for automating document workflows across communication channels.
By papcyMonitor & auto-heal AWS EC2 instances with multi-channel alerts
This n8n workflow automates the monitoring, health assessment, and self-healing of AWS EC2 instances in production environments. It runs periodic checks, identifies unhealthy instances based on status and metrics, restarts them automatically, and notifies teams via multi-channel alerts while logging data for auditing and reporting. Key Features Triggers health checks every 5 minutes to proactively monitor EC2 fleet status. Fetches and loops through all production EC2 instances for individualized analysis. Evaluates instance health using AWS metrics and custom thresholds to detect issues like high CPU or stopped states. Performs automatic restarts on unhealthy instances to minimize downtime. Sends instant WhatsApp notifications for urgent alerts, detailed email reports for team review, and logs metrics to Google Sheets for long-term tracking. Includes sticky notes for quick reference on configuration, self-healing logic, and alert setup. Workflow Process The Schedule Trigger node runs the workflow every 5 minutes, ensuring frequent health monitoring without overwhelming AWS APIs. The Get EC2 Instances node fetches all production-tagged EC2 instances from AWS, filtering by environment (e.g., tag: Environment=Production). The Loop Over Instances node iterates through each fetched instance individually, allowing parallel processing for scalability. The Check Instance Status node retrieves detailed health metrics for the current instance via AWS API (e.g., status checks, CPU utilization, and state). The Health Status Check node evaluates the instance's status against predefined thresholds (e.g., failed system checks or high load); if healthy, it skips to logging. The Analyze Health Data node assesses metrics in depth to determine action (e.g., restart if CPU > 90% for 5+ minutes) and prepares alert payloads. The Restart Instance node automatically initiates a reboot on unhealthy instances using AWS EC2 API, with optional dry-run mode for testing. The WhatsApp Notification node (part of Multi-Channel Alerts) sends instant alerts via Twilio WhatsApp API, including instance ID, issue summary, and restart status. The Email Report node generates and sends a detailed HTML report to the team via SMTP, summarizing checked instances, actions taken, and metrics trends. The Google Sheets Logging node appends health data, timestamps, and outcomes to a specified spreadsheet for historical analysis and dashboards. The Sticky Notes nodes provide inline documentation: one for AWS credential setup, one explaining self-healing thresholds, and one for alert channel configurations. Setup Instructions Import the workflow into n8n and activate the Schedule Trigger with a 5-minute cron expression (e.g., /5 *). Configure AWS credentials in the Get EC2 Instances, Check Instance Status, and Restart Instance nodes using IAM roles with EC2 read/restart permissions. Set up Twilio credentials in the WhatsApp Notification node, including your Twilio SID, auth token, and WhatsApp-enabled phone numbers for sender/receiver. Add SMTP credentials (e.g., Gmail or AWS SES) in the Email Report node, and update sender/receiver email addresses in the node parameters. Link Google Sheets in the Google Sheets Logging node by providing the spreadsheet ID, sheet name, and OAuth credentials for write access. Customize health thresholds in Health Status Check and Analyze Health Data (e.g., via expressions for CPU/memory limits). Test the workflow by manually executing it on a small set of instances and verifying alerts/logging before enabling production scheduling. Review sticky notes within n8n for quick tips, and monitor executions in the dashboard to fine-tune intervals or error handling. Prerequisites AWS account with EC2 access and IAM user/role for DescribeInstances, DescribeInstanceStatus, and RebootInstances actions. Twilio account with WhatsApp sandbox or approved number for notifications. SMTP email service (e.g., Gmail, Outlook) with app-specific passwords enabled. Google Workspace or personal Google account for Sheets integration. n8n instance with AWS, Twilio, SMTP, and Google Sheets nodes installed (cloud or self-hosted). Production EC2 instances tagged consistently (e.g., Environment=Production) for filtering. Modification Options Adjust the Schedule Trigger interval to hourly for less frequent checks or integrate with AWS CloudWatch Events for dynamic triggering. Expand Analyze Health Data to include advanced metrics (e.g., disk I/O via CloudWatch) or ML-based anomaly detection. Add more alert channels in Multi-Channel Alerts, such as Slack webhooks or PagerDuty integrations, by duplicating the WhatsApp/Email branches. Enhance Google Sheets Logging with charts or conditional formatting via Google Apps Script for visual dashboards. Implement approval gates in Restart Instance (e.g., via email confirmation) to prevent auto-restarts in sensitive environments. Explore More AI Workflows: Get in touch with us for custom n8n automation!
By Oneclick AI Squad