Workflow Templates

Video Guide I prepared a detailed guide that showed the whole process of building an AI bot, from the simplest version to the most complex in a template. .png) Who is this for? This workflow is ideal for developers, chatbot enthusiasts, and businesses looking to build a dynamic Telegram bot with memory capabilities. The bot leverages OpenAI's assistant to interact with users and stores user data in Supabase for personalized conversations. What problem does this workflow solve? Many simple chatbots lack context awareness and user memory. This workflow solves that by integrating Supabase to keep track of user sessions (via What this workflow does This Telegram bot template connects with OpenAI to answer user queries while storing and retrieving user information from a Supabase database. The memory component ensures that the bot can reference past interactions, making it suitable for use cases such as customer support, virtual assistants, or any application where context retention is crucial. 1.Receive New Message: The bot listens for incoming messages from users in Telegram. Check User in Database: The workflow checks if the user is already in the Supabase database using the Create New User (if necessary): If the user does not exist, a new record is created in Supabase with the telegram_id and a unique Start or Continue Conversation with OpenAI: Based on the user’s context, the bot either creates a new thread or continues an existing one using the stored Merge Data: User-specific data and conversation context are merged. Send and Receive Messages: The message is sent to OpenAI, and the response is received and processed. Reply to User: The bot sends OpenAI’s response back to the user in Telegram. Setup Create a Telegram Bot using the Botfather and obtain the bot token. Set up Supabase: Create a new project and generate a Create a new table named create table public.telegram_users ( id uuid not null default gen_random_uuid (), date_created timestamp with time zone not null default (now() at time zone 'utc'::text), telegram_id bigint null, openai_thread_id text null, constraint telegram_users_pkey primary key (id) ) tablespace pg_default; OpenAI Setup: Create an OpenAI assistant and obtain the Customize your assistant’s personality or use cases according to your requirements. Environment Configuration in n8n: Configure the Telegram, Supabase, and OpenAI nodes with the appropriate credentials. Set up triggers for receiving messages and handling conversation logic. Set up OpenAI assistant ID in "++OPENAI - Run assistant++" node.

Complete MCP server exposing all Hacker News Tool operations to AI agents. Zero configuration needed - all 3 operations pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every Hacker News Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Hacker News Tool tool with full error handling 📋 Available Operations (3 total) Every possible Hacker News Tool operation is included: 🔧 All (1 operations) • Get many items 🔧 Article (1 operations) • Get an article 👤 User (1 operations) • Get a user 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native Hacker News Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every Hacker News Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

How it works This workflow demonstrates how to use n8n to serve a complete, styled HTML webpage. It acts as a mini web server, responding to browser requests with your custom HTML content. Webhook Trigger: The workflow starts with a Webhook node configured to listen for GET requests on a specific path. When you visit this node's Production URL in a browser, it triggers the workflow. Respond with HTML: The Respond to Webhook node is configured to send a response back to the browser. Content-Type Header: It sets a crucial response header, Content-Type: text/html, which tells the browser to render the response as a webpage, not just plain text. HTML Body: The entire HTML, CSS, and JavaScript for the webpage is pasted directly into the Body field of this node. When activated, visiting the webhook URL will instantly display the custom webpage. Set up steps Setup time: < 1 minute This workflow is ready to use out-of-the-box. Activate the workflow. Open the Your WebPage (Webhook) node and copy its Production URL. Paste the URL into your browser to see the live tutorial page. To use your own HTML, simply open the Site (Respond to Webhook) node and replace the content in the Body field with your own code.

This workflow is designed to automate task reminders by retrieving tasks from a Notion database and sending reminders to Slack users. It checks for incomplete tasks from a Notion database and sends a Slack message to the relevant users with the task details and due dates. The automation is scheduled to run every weekday at 9:00 AM, ensuring that users are always reminded of pending tasks. Who is this for? This workflow is ideal for teams or individuals who manage their tasks using Notion but rely on Slack for communication. It provides an automated solution for ensuring that tasks in Notion are followed up on, reducing the risk of missing deadlines. What problem is this workflow solving? Often, team members need to be reminded of tasks from various platforms. This workflow bridges the gap between task management in Notion and communication in Slack by automatically sending task reminders. It ensures that team members are informed of their pending tasks each morning, helping them stay organized and on top of their work. What this workflow does Triggers every weekday at 9:00 AM: The workflow runs at 9:00 AM, Monday through Friday. Fetches tasks from Notion: It retrieves tasks from a Notion database. Filters incomplete tasks: The workflow filters tasks that are not marked as "Done." Fetches Slack users: It retrieves all Slack users to ensure that the reminders are sent to the correct user. Matches tasks to the correct user: It checks the Notion task assignee and matches it with the appropriate Slack user. Sends Slack reminders: Sends a Slack direct message to each user with their incomplete tasks and due dates. Setup Connect Notion: You will need to connect your Notion account and specify the database containing tasks. Connect Slack: Authenticate with Slack using OAuth to allow the workflow to send messages on your behalf. Notion user email mapping: Ensure that the Notion users’ email addresses are correctly mapped to their corresponding Notion user profiles. Slack user full name mapping: Ensure that the Slack users’ full names are correctly mapped to their corresponding Slack user profiles. Adjust schedule: If needed, modify the schedule node to run at a different time or frequency. How to customize this workflow Change the database**: You can adjust the workflow to pull tasks from a different Notion database by modifying the "Get To Dos from Tasks Database" node. Add more users**: The workflow currently supports two users, but you can expand it to support more by adding additional logic in the "Switch for Notion Users Emails" node. Modify the message format**: The Slack message content can be customized further to include more task details or change the message format. Workflow Summary This workflow automates sending task reminders from a Notion database to Slack users. By running every weekday morning, it ensures that users receive timely reminders of their incomplete tasks, helping them stay organized and efficient.

Simple Social: Instagram Single Image Post with Facebook API Who is this workflow for? This workflow is designed for businesses, social media managers, content creators, and developers who need to automate the process of posting single images to Instagram using the Facebook API. It is ideal for anyone looking to streamline their social media posting process, saving time and ensuring consistent content delivery. Use Case / Problem Solved Manually posting images and captions on Instagram can be time-consuming, especially for businesses and content creators managing multiple accounts. This workflow automates the process from image preparation to publishing, reducing manual effort and increasing efficiency. What this workflow does Trigger Initialization: The workflow starts with a manual trigger that can be adapted to other triggers (e.g., HTTP webhook or schedule). Set Parameters: The workflow includes a node that sets essential parameters, such as the image URL, Instagram business account ID, and caption. Prepare Instagram Media: A node prepares the media for upload using the Facebook API, sending the image and caption for pre-publication processing. Check Media Upload Status: The workflow verifies if the media preparation is complete. Conditional Check: If the media preparation is successful, the workflow proceeds to publish; otherwise, it triggers an error-handling path. Publish Media: The media is published on Instagram if the conditions are met. Post-Publish Check: The workflow checks the status after publication. Conditional Check for Publication: If the publication status is "PUBLISHED," it triggers a success path; otherwise, it triggers a failure handling. Email Notifications: The workflow sends email notifications to indicate successful or unsuccessful outcomes. Setup Here is a quick video in italian language with sub eng(https://youtu.be/obWJFJvg_6g) Add API Credentials: Ensure that valid Facebook API credentials are added and configured for use. Permissions Required: Ensure your app has the necessary permissions (ads_management, business_management, instagram_basic, instagram_content_publish, pages_read_engagement). App review may be required for external user access. Node Configuration: Customize the Set Instagram Parameters node to specify the image URL, caption, and Instagram business account ID. Trigger Adaptation: Adapt the initial trigger if needed to fit your workflow's requirements (e.g., schedule, webhook). How to customize this workflow Change the Image URL and Caption**: Modify the Set Instagram Parameters node to change the image and caption. Trigger Customization**: Replace the manual trigger with other triggers like a webhook to automate posting based on external events. Notifications**: Adjust the email nodes to send customized messages or trigger other workflows based on the outcome. Limitations Image Format**: Only JPEG images are supported. Extended JPEG formats such as MPO and JPS are not compatible. Unsupported Tags**: Shopping tags, branded content tags, and filters are not supported. Instagram TV**: Publishing to Instagram TV is not supported. Rate Limit**: Instagram accounts are limited to 50 API-published posts within a rolling 24-hour period. Carousels count as a single post. Check usage with GET /{ig-user-id}/content_publishing_limit. Example Usage Imagine managing a business account that needs consistent posts. You can schedule this workflow or trigger it manually to automatically post images with captions at the right time, ensuring that your audience stays engaged without manual posting efforts.

Automate Google Analytics Reporting with n8n This n8n workflow collects, processes, and formats Google Analytics data into a comprehensive HTML report. The report is segmented into three primary categories: Engagement Stats, Search Results, and Country Views. The formatted report can be emailed or saved as a document, and the workflow includes error handling and logging for better debugging. Overview Purpose To automate the extraction, processing, and presentation of Google Analytics data in a visually appealing and structured format for easier insights and decision-making. Features Data Parsing**: Individual parsers process raw Google Analytics data for different time periods and categories. Data Aggregation**: Combines parsed data into a single structured JSON object. HTML Report Generation**: Formats the aggregated data into an HTML table with color-coded segments for better readability. Email or Document Output**: The formatted report can be emailed or saved as a Google Doc (will need additional setup). Error Handling**: Includes checks for missing data and detailed error messages for debugging. Workflow Steps Data Fetching: Six separate Google Analytics data pulls: Page Engagement Stats (This Week and Prior Week) Google Search Results (This Week and Prior Week) Country Views (This Week and Prior Week) Data Parsing: Each data pull is processed using a dedicated parser node to generate a URL-safe string. Example nodes: Parse - Get Page Engagement This Week Parse - Country Views Prior Week Data Aggregation: Aggregates parsed data into a structured JSON object using the Aggregate Data node. Ensures consistency and handles missing or malformed data. HTML Report Generation: Creates a formatted HTML report with color-coded tables for each segment: Engagement Stats: Green Search Results: Blue Country Views: Orange Includes headers and neatly formatted tables for each data set. Output: The report can be sent via email using the Gmail API or saved to Google Docs. Example nodes: Gmail node for email delivery. Google Docs node for saving the report as a document. Requirements Prerequisites Google Cloud Setup**: Enable Google Analytics API. Enable Gmail API (if using email output). Generate OAuth credentials for API access. n8n Installation**: Self-hosted n8n instance with required nodes (Gmail, Google Docs, etc.). Free Cloud-based n8n account. Environment Variables Ensure API credentials and tokens are set up in the n8n environment. Update the respective nodes with client ID, client secret, and access tokens. Configuration Google Analytics Configure the Get Report nodes with the appropriate property ID and metrics. Ensure correct date ranges are selected for each node. Formatting Node The Format Data node processes aggregated data and generates the HTML content. Customize the HTML styling and segment colors as needed. Email Node Configure the Gmail node with OAuth credentials. Set the recipient email address and subject line dynamically. Error Handling Common Issues Authentication Errors: Ensure OAuth credentials are correct. Verify that the APIs are enabled in the Google Cloud Console. Empty Data: Check the raw data from Google Analytics. Validate the property ID and query parameters in the Get Report nodes. Parsing Errors: Ensure the parser nodes are correctly configured and match the expected input format. Debugging Use debug logs in each node to identify data flow issues. Add error-handling nodes to capture and log issues during execution. Example Usage Run the Workflow Trigger the workflow to fetch, process, and format Google Analytics data. Verify Output Check the formatted HTML output in the debug logs. Ensure the email or Google Doc contains the correctly formatted report. Future Enhancements Add support for additional metrics or dimensions. Integrate with Slack for notifications. Enable scheduling for automated reports. Add a visual dashboard for real-time analytics.

Complete MCP server exposing 2 NPR Station Finder Service API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add NPR Station Finder Service credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the NPR Station Finder Service 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 https://station.api.npr.org • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (2 total) 🔧 V3 (2 endpoints) • GET /v3/stations: Get Station 1 • GET /v3/stations/{stationId}: Retrieve metadata for the station with the given numeric ID 🤖 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 NPR Station Finder Service 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.

Complete MCP server exposing 3 Search Services API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add Search Services credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the Search Services 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 https://api.archive.org • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (3 total) 🔧 Search (3 endpoints) • GET /search/v1/fields: Fields that can be requested • GET /search/v1/organic: Return relevance-based results from search queries • GET /search/v1/scrape: Scrape search results from Internet Archive, allowing a scrolling cursor 🤖 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 Search Services 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.

Complete MCP server exposing 2 Mobility API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add Mobility API credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the Mobility 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 https://developer.o2.cz/mobility/sandbox/api • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (2 total) 🔧 Info (1 endpoints) • GET /info: Retrieve Application Info 🔧 Transit (1 endpoints) • GET /transit/{from}/{to}: Transit between basic residential units 🤖 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 Mobility 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.

How it works This workflow gets the search console results data and exports this to google sheets. This makes it easier to visualize and do other SEO related tasks and activities without having to log into Search Console Setup and use Set your desired schedule Enter your desired domain Connect to your Google sheets or make a copy of this sheet. Detailed Setup Inputs and Outputs:** Input: API response from Google Search Console regarding keywords, page data, and date data. Output: Entries written to Google Sheets containing keyword data, clicks, impressions, CTR, and positions. Setup Instructions: Prerequisites:** An n8n instance set up and running. Active Google Account with access to Google Search Console and Google Sheets. Google OAuth 2.0 credentials for API access. Step-by-Step Setup:** Open n8n and create a new workflow. Add the nodes as described in the JSON. Configure the Google OAuth2 credentials in n8n to enable API access. Set your domain in the Set your domain node. Customize the Google Sheets document URLs to your personal sheets. Adjust the schedule in the Schedule Trigger node as per your requirements. Save the workflow. Configuration Options:** You can customize the date ranges in the body of the HttpRequest nodes. Adjust any fields in the Edit Fields nodes based on different data requirements. Use Case Examples: Useful in tracking website performance over time using Search Console metrics. Ideal for digital marketers, SEO specialists, and web analytics professionals. Offers value in compiling performance reports for stakeholders or team reviews. Running and Troubleshooting: Running the Workflow:** Trigger the workflow manually or wait for the schedule to run it automatically. Monitoring Execution:** Check the execution logs in n8n's dashboard to ensure all nodes complete successfully. Common Issues:** Invalid OAuth credentials – ensure credentials are set up correctly. Incorrect Google Sheets URLs – double-check document links and permissions. Scheduling conflicts – make sure the schedule set does not overlap with other workflows.

Complete MCP server exposing 2 Negotiation API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add Negotiation API credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the Negotiation 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 https://api.ebay.com{basePath} • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (2 total) 🔧 Find_Eligible_Items (1 endpoints) • GET /find_eligible_items: Find Eligible Listings 🔧 Send_Offer_To_Interested_Buyers (1 endpoints) • POST /send_offer_to_interested_buyers: Send Discount Offer 🤖 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 Negotiation 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.

Stay ahead of the curve and keep your followers informed—automatically. This n8n workflow uses Perplexity AI to generate insightful answers to scheduled queries, then auto-posts the responses directly to X (Twitter). ⚙️ What this workflow does Scheduled Trigger – Runs at set times (daily, hourly, etc.). searchQuery – Define what kind of trending or relevant insight you want (e.g. “latest AI trends”). set API Key – Securely insert your Perplexity API key. Perplexity API Call – Fetches a short, insightful response to your query. Post to X – Automatically publishes the result as a tweet. 🧩 Requirements An n8n account (self-hosted or cloud) A Perplexity API key A connected X (Twitter) account via n8n’s credentials ✅ Setup Steps Add this workflow into your n8n account. Edit the searchQuery node with a topic (e.g. “What’s new in ecommerce automation?”). Paste your Perplexity API key into the set API key node. Connect your X (Twitter) account in the final node. Adjust the schedule timing to suit your content frequency. 💡 Ideas to Improve 💬 Add a formatting step to shorten or hashtag the response. 📊 Pull multiple trending questions and auto-schedule posts. 🔁 Loop responses to queue a full week of content. 🌐 Translate content before posting to reach a global audience. 🆘 Need help? Feel free to contact us at 1 Node. Get instant access to a library of free resources we created.