Workflow Templates

🧩 Jamf Policies Export to Slack Quickly export and review your entire Jamf policy configuration—including triggers, frequencies, and scope—directly in Slack. This enables IT and security teams to audit policy setups without logging into Jamf or generating reports manually. ❗The Problem Jamf Pro lacks a straightforward way to quickly review or share a list of all configured policies, including key attributes like frequency, scope, or triggers. Security teams often need this for audit or compliance reviews, but navigating Jamf’s UI or exporting via the API is time-consuming. 🔧 This Fixes It This workflow fetches all policies, extracts the most relevant fields, compiles them into a csv file, and posts that readble file into a designated Slack channel—automatically or on demand. ✅ Prerequisites • A Jamf Pro API key (OAuth2) with read access to policies • A Slack app with permission to post files into your chosen channel 🔍 How it works • Manually trigger or use the webhook to initiate the flow • Retrieve all policies from Jamf via the XML API • Convert the XML response into JSON • Split and loop through each policy ID • Retrieve detailed data for each policy • Format relevant fields (ID, name, trigger, scope, etc.) • Convert the final data set into an .csv file • Upload the file to your Slack channel ⚙️ Set up steps • Takes ~10 minutes to configure • Set the Jamf BaseURL in the “Jamf Server” node • Configure Jamf OAuth2 credentials in the HTTP Request nodes • Adjust the fields for export in the “Set-fields” node • Set your Slack credentials and target channel in the “Post to Slack” node • Optional: Customize the exported fields or filename 🔄 Automation Ready Schedule this flow daily/weekly, or tie it to change events to keep your team informed.

Social Media Auto-Poster (Google Sheets → Twitter & Instagram) This workflow automatically: Pulls rows marked as Pending from a Google Sheet. Generates a formatted Instagram caption and HTML preview. Converts the HTML into an image via HCTI.io. Posts the content: As a tweet (text only) to Twitter (X). As a post (image + caption) to Instagram via the Facebook Graph API. Marks the row in Google Sheets as Posted with a timestamp. It runs every 5 hours (configurable via the Schedule Trigger). Requirements Google Sheets API Credentials** connected in n8n. HCTI.io account** (HTML → Image API). Twitter (X) OAuth1 credentials**. Facebook/Instagram Graph API** access token (for the business account/page). A Google Sheet with at least these columns: RowID Caption Desc Hashtags Status Set Status to Pending for any row you want posted. Setup Import the JSON workflow (My_workflow.json) into your n8n instance. Link all credentials (replace placeholders with your own API keys and tokens). Update the Google Sheet ID and Sheet Name inside the Get row(s) in sheet and Update Status Posted nodes. (Optional) Adjust the posting interval in the Schedule Trigger node. How It Works Trigger: Runs every 5 hours. Fetch Rows: Reads Google Sheets for rows with Status = Pending. Caption Generation: Combines Desc + Hashtags into final_caption. HTML → Image: Converts caption to a styled 1080x1080 post. Social Posting: Posts the caption to Twitter (text only). Uploads the image + caption to Instagram. Update Status: Marks the row as Posted on [timestamp]. Notes Facebook/Instagram tokens expire; refresh or use long-lived tokens. HCTI.io may require a paid plan for high volumes. Works best with a business Instagram account linked to a Facebook Page. License This workflow can be reused and adapted freely under the MIT license.

Complete MCP server exposing all AWS Transcribe Tool operations to AI agents. Zero configuration needed - all 4 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 AWS Transcribe Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n AWS Transcribe Tool tool with full error handling 📋 Available Operations (4 total) Every possible AWS Transcribe Tool operation is included: 🔧 Transcriptionjob (4 operations) • Create a transcription job • Delete a transcription job • Get a transcription job • Get many transcription jobs 🤖 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 AWS Transcribe 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 AWS Transcribe 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.

This n8n workflow shows an easy way to automate the creation of social media assets using AI and a service like BannerBear. Designed for the busy marketer, leveraging AI image generation capabilities can help cut down production times and allow reinvesting into higher quality content. How it works This workflow generates social media banners for online events. Using a form trigger, a user can define the banner text and suggest an image to be generated. This request is passed to OpenAI's Dalle-3 image generation service to produce a relevant graphic for the event banner. This generated image is uploaded and sent to BannerBear where a template will use it and the rest of the form data to produce the banner. BannerBear returns the final banner which can now be used in an assortment of posts and publications. Requirements A BannerBear.com account and template is required An OpenAI account to use the Dalle-3 service. Customising the workflow We've only shown a small section of what BannerBear has to offer. With experimentation and other asset generating services such as AI audio and video, you should be able to generate more than just static banners!

Manage Jira Issues with Natural Language via Telegram and GPT-4o Overview The Jira Agent is an AI-powered assistant that allows users to interact with Jira directly through messaging platform Telegram. It leverages OpenAI's GPT-4o model to interpret natural language commands and perform various Jira-related actions. On Telegram, it enables users to create Jira stories by triggering a guided form when prompted with "create story." Additionally, it provides more extensive functionality, including creating, updating, searching, and transitioning Jira issues through natural language commands. How it works Normal interaction Using messages as "Please give all my issues". Standardized process of creating stories: Message: "create story" Open the Form that Telegram responds back to you Fill in the essential story information in the form The story automatically gets created in your backlog. Required Connections To use the Jira Agent effectively, users need access to: A Telegram account, Telegram setup involves deploying the bot and starting a chat; story creation is triggered with a simple text command. A connected Jira workspace Permissions to create and modify Jira issue Access to GPT-4o API-key Detailed configuration instructions are provided in the workflow Setup Time <15 minutes Customising this workflow Try adding more details to the form for more complete Jira ticket creation. Try connecting a Google Calendar node to plan your work

Use Case Automate image replacement in Google Docs: You need to update document images dynamically You want to create multiple versions of a template with different images You need to batch process document images from a URL database You want to generate shareable documents with custom images What this Workflow Does The workflow automates image replacement in Google Docs: Accepts image URLs from your database Finds and replaces images in template documents Creates new document copies with updated images Optionally converts to PDF and makes documents shareable Setup Connect your image URL database (column name must be "url") Set up Google Docs OAuth 2 API credentials Optional: Create a template document in Google Drive with placeholder images Optional: Configure Google Drive authentication for additional features How to Adjust it to Your Needs Remove template copying for single document processing Adjust image ID selection for documents with multiple images Configure sharing settings and download formats Customize file naming and storage location More templates and n8n workflows >>> @simonscrapes

This workflow helps you keep an eye on your GitHub forks, notifying you when they fall behind or pull ahead of their upstream repositories. How It Works Fetches All Your Repos: The workflow starts by grabbing a list of all repositories owned by your GitHub account. Filters for Forks: It then intelligently filters this list to identify only your forked repositories. Compares Branches: For each identified fork, it compares its default branch against the upstream repository's default branch to find out how many commits it's ahead or behind. Filters for Changes: Only forks that are either ahead or behind their upstream (i.e., not perfectly in sync) are processed further. Generates Report: A concise, well-formatted report is compiled, highlighting the status and commit differences for each relevant fork. Sends Telegram Notification: Finally, this report is sent directly to your Telegram chat, keeping you informed in real-time. Setup Steps Copy the template Update triggers ( optional ) Update the credentials Prerequisites GitHub Credentials**: You'll need to provide your GitHub personal access token for the "Get All Repositories" and "Compare Branches API Call" nodes. Telegram Bot Setup**: Configure a Telegram Bot and obtain its API token and your chat ID for the "Send Report" node. Github Owner Username**: Update the "Get All Repositories" node with the GitHub username of the repository owner whose forks you want to monitor. Explore & Fine-Tune: All detailed instructions and explanations, including how to adjust the filtering logic or output formatting, are provided in sticky notes directly within the workflow canvas.

Name: AI-Powered Research Agent using Perplexity Sonar Description: This workflow acts as an AI-powered research assistant using the Perplexity Sonar model. When triggered by another workflow, it sends a user-defined prompt to the Perplexity API to retrieve up-to-date search results. The response is then parsed into a clean format for downstream processing. How it Works: Trigger: Activated from another workflow via Execute Workflow Trigger. Prompt Setup: Sets a system role message and user query dynamically. API Call: Sends a POST request to Perplexity's /chat/completions endpoint with your credentials. Response Handling: Extracts the message content from the API response. Output: Returns the result, ready for display or further processing. Requirements: A Perplexity AI API Key Set up authentication via Header Auth with Bearer token Ensure your account allows outbound HTTP requests in n8n Customization Tips: Modify the system prompt to suit your research domain Chain this workflow with other automation like blog creation, summaries, etc. Replace the output handling logic to fit into Google Sheets, Notion, or Telegram

Who is this template for? You are in the bad habit of always checking your feed to see if there are new videos? This workflow will help you get rid of this habit by delivering an email notification for each new video posted from the channels you are subscribed to. No need to check your feed again: no email = no new video. Example email How it works Every hour (by default), we: Fetch all your YouTube subscriptions from the YouTube Data v3 API. Get a list of the latest videos of each channel through RSS (we don't use YouTube's API for this step as it would put us over the daily quota). Send you a simple yet beautiful email for each new video that was published since the last run of the workflow. To go to the video, simply click on the thumbnail. Caveats Because of the way this workflow is implemented, if your n8n instance stops, you will not get emails for the videos you missed when your instance is back online. The situation could be improved if n8n gave us an easy way to access the last successful execution's timestamp. Set up instructions Complete the Set up credentials step when you first open the workflow. You'll need YouTube OAuth2 API and SMTP credentials. In the Send an email for each new video step, set the email address from which the email will be sent (an email address that your SMTP credentials allow sending from) and the email address to which you are going to send the email to (can be the same). Optional steps From the Schedule Trigger step, you can change the check frequency (default: every hour). If there are channels that you do not want notifications from, you can add their channel ID to the list in the Filter out channels step. To get a channel's ID, go to its main page, click on the description, then "Share channel" and finally "Copy channel ID". By default, shorts are excluded. But if you want them, simply remove the Filter out shorts step from the workflow. Template was created in n8n v1.84.0

Learn Customer Onboarding Automation with n8n ✅ How It Works This smart onboarding automation handles new customer signups by: Receiving signup data via webhook Validating required customer info Creating a contact in HubSpot CRM Sending a personalized welcome email Delivering onboarding documents after 2 hours Sending a personal check-in email after 1 day Sending a Week 1 success guide after 3 days Updating CRM status and notifying the team at each milestone It’s designed for professional onboarding, with built-in timing, CRM integration, and smart notifications to improve engagement and retention. 🛠️ Setup Steps Create Webhook Add a Webhook node in n8n with POST method — this triggers when a new customer signs up. Validate Customer Data Add an IF node to check if email and customerName are present. Create CRM Contact Use a HubSpot node to create a new contact, map fields (e.g., split name into first/last). Send Notifications Add a Telegram or Slack node to alert your team instantly. Send Welcome Email Use an Email Send node for a warm welcome, customized with customer details. Wait 2 Hours Add a Wait node to delay next steps and avoid overwhelming the customer. Send Onboarding Documents Use another Email Send node to deliver helpful PDFs or guides. Wait 1 Day & Send Check-in Another Wait node, followed by a personal check-in email using the customer’s name. Wait 2 More Days & Send Success Guide Deliver Week 1 content via email to reinforce engagement. Update CRM & Notify Team Use HubSpot to update status and Telegram/Slack to notify your team of completion.

This n8n workflow demonstrates how you can summarise and automate post-meeting actions from video transcripts fed into an AI Agent. Save time between meetings by allowing AI handle the chores of organising follow-up meetings and invites. How it works This workflow scans for the calendar for client or team meetings which were held online. * Attempts will be made to fetch any recorded transcripts which are then sent to the AI agent. The AI agent summarises and identifies if any follow-on meetings are required. If found, the Agent will use its Calendar Tool to to create the event for the time, date and place for the next meeting as well as add known attendees. Requirements Google Calendar and the ability to fetch Meeting Transcripts (There is a special OAuth permission for this action!) OpenAI account for access to the LLM. Customising the workflow This example only books follow-on meetings but could be extended to generate reports or send emails.

This workflow provides a secure API endpoint to remotely trigger other n8n workflows with custom data and to retrieve information about your existing workflows. It's perfect for users who want to integrate n8n into external systems or programmatically manage their automations. example usage: I use this workflow in a Raycast extension i have build, to execute n8n workflows from within Raycast: see Github ++How it works++ Receives API Calls: A webhook listens for incoming HTTP requests (e.g., POST to trigger, GET to retrieve info). Triggers Workflows: If the request is to trigger a workflow, it dynamically identifies the target workflow ID (from query parameters) and any input data (from the request body), then executes that workflow. This means you can control any of your workflows without modifying this manager template. Retrieves Workflow Info: Similarly, if the request is to get information, it dynamically uses query parameters (workflowId, mode, includedWorkflows) to fetch details about one or more n8n workflows (e.g., specific, all, active, inactive; full or summarized data). Responds: Sends back a JSON response indicating success/failure or the requested workflow data. ++Set it up++ Configure Webhook Security: Set up "Header Auth" credentials for the main Webhook node. This is the API key your external services will use. Add n8n API Credentials: For the nodes that fetch workflow information (like "Get specific workflowid", "get all active workflows", etc.), connect your n8n API credentials. This allows the workflow to query your n8n instance. Note Your Webhook URL: Once active, n8n provides a production URL for the webhook (path: workflow-manager). Use this URL to make API calls. Understand API Parameters: To trigger: Use ?workflowId=[ID_OF_WORKFLOW_TO_RUN] and send JSON data in the request body. To get info: Use parameters like ?workflowId=[ID], ?includedWorkflows=[all/active/inactive], and ?mode=[full/summary].