Workflow Templates

Complete MCP server exposing 1 Recommendation 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 Recommendation 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 Recommendation 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 (1 total) 🔧 Find (1 endpoints) • POST /find: Get Promoted Listings Recommendations 🤖 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 Recommendation 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 1 Buy Marketing 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 Buy Marketing 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 Buy Marketing 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/buy/marketing/v1_beta • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (1 total) 🔧 Merchandised_Product (1 endpoints) • GET /merchandised_product: Fetch Merchandised Products 🤖 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 Buy Marketing 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.

Who is this for? 🧑🏻🫱🏻‍🫲🏻🤖 Humans and Robots alike. This workflow can be used as a Chat Trigger, as well as a Workflow Trigger. It will take a natural language request, and then generate a SQL query. The resulting query parameter will contain the query, and a sqloutput parameter will contain the results of executing such query. What's the use case? This template is most useful paired with other workflows that extract e-mail information and store it in a structured Postgres table, and use LLMs to understand inquiries about information contained in an e-mail inbox and formulate questions that needs answering. Plus, the prompt can be easily adapted to formulate SQL queries over any kind of structured database. Privacy and Economics As LLM provider I'm using Ollama locally, as I consider my e-mail extremely sensitive information. As model, phi4-mini does an excellent job balancing quality and efficiency. Setup Upon running for the first time, this workflow will automatically trigger a sub-section to read all tables and extract their schema into a local file. Then, either by chatting with the workflow in n8n's interface or by using it as a sub-workflow, you will get a query and a sqloutput response. Customizations If you want to work with just one particular table yet keep edits at bay, append a condition to the List all tables in a database step, like so: WHERE table_schema='public' AND table_name='my_emails_table_name' To repurpose this workflow to work with any other data corpus in a structured database, inspect the AI Agent user and system prompts and edit them accordingly.

🎬 What it does This workflow creates an engaging YouTube Short with a single click — from script to voiceover, to visuals and background music. It combines several AI tools to automate content creation and final video assembly. ⚙️ How it works Accepts an input prompt or topic Generates script using GPT Converts script to voiceover using ElevenLabs Generates b-roll style images via Leonardo.Ai Matches background music Assembles a vertical 1080×1920 MP4 video using JSON render config Optionally uploads to YouTube or saves to Cloudinary 🧰 Setup steps Add your credentials: Leonardo API (image generation) ElevenLabs (voiceover) Cloudinary (upload destination) Any GPT-based text generator Drop your audio/music file in the right node Replace API expressions with your own credentials > 🟨 Full step-by-step instructions are in sticky notes inside the workflow.

Automated Instagram posting with Facebook Graph API and content routing Who is this for? This workflow is perfect for social media managers, content creators, digital marketing agencies, and small business owners who need to automate their Instagram posting process. Whether you're managing multiple client accounts or maintaining consistent personal branding, this template streamlines your social media operations. What problem is this workflow solving? Manual Instagram posting is time-inconsistent and prone to inconsistency. Content creators struggle with: Remembering to post at optimal times Managing different content types (images, videos, reels, stories, carousels) Maintaining posting schedules across multiple accounts Ensuring content is properly formatted for each post type This workflow eliminates manual posting, reduces human error, and ensures consistent content delivery across all Instagram format types. What this workflow does The workflow automatically publishes content to Instagram using Facebook's Graph API with intelligent routing based on content type. It handles image posts, video stories, Instagram reels, carousel posts, and story content. The system creates media containers, monitors processing status, and publishes content when ready. It supports both HTTP requests and Facebook SDK methods for maximum reliability and includes automatic retry mechanisms for failed uploads. Setup Connect Instagram Business Account to a Facebook Page Configure Facebook Graph API credentials with instagram_basic permissions Update the "Configure Post Settings" node with your Instagram Business Account ID Set media URLs and captions in the configuration section Choose post type (http_image, fb_reel, http_carousel, etc.) Test workflow with sample content before going live How to customize this workflow to your needs Modify the post_type variable to control content routing: Use http_* prefixes for direct API calls Use fb_* prefixes for Facebook SDK calls Use both HTTP and Facebook SDK nodes as fallback mechanisms** - if one method fails, automatically try the other for maximum success rate Add scheduling by connecting a Cron node trigger Integrate with Google Sheets or Airtable for content management Connect webhook triggers for automated posting from external systems Customize wait times based on your content file sizes Set up error handling** to switch between HTTP and Facebook SDK methods when API limits are reached

Weather via Slack 🌦️💬 Overview This workflow provides real-time weather updates via Slack using a custom Slack command: /weather [cityname] Users can type this command in Slack (e.g., /weather New York), and the workflow will fetch and post the latest forecast, including temperature, wind conditions, and a short weather summary. While this workflow is designed for Slack, users can modify it to send weather updates via email, Discord, Microsoft Teams, or any other communication platform. How It Works Webhook Trigger – The workflow is triggered when a user runs /weather [cityname] in Slack. Geocoding with OpenStreetMap – The city name is converted into latitude and longitude coordinates. Weather Data from NOAA – The coordinates are used to retrieve detailed weather data from the National Weather Service (NWS) API. Formatted Weather Report – The workflow extracts relevant weather details, such as: Temperature (°F/°C) Wind speed and direction Short forecast summary Slack Notification – The weather forecast is posted back to the Slack channel in a structured format. Requirements A custom Slack app with: The ability to create a Slash Command (/weather) OAuth permissions to post messages in Slack An n8n instance to host and execute the workflow Customization Replace Slack messaging with email, Discord, Microsoft Teams, Telegram, or another service. Modify the weather data format for different output preferences. Set up scheduled weather updates for specific locations. Use Cases Instantly check the weather for any location directly in Slack. Automate weather reports for team members or projects. Useful for remote teams, outdoor event planning, or general weather tracking. Setup Instructions Create a custom Slack app: Go to api.slack.com/apps and create a new app. Add a Slash Command (/weather) with the webhook URL from n8n. Enable OAuth scopes for sending messages. Deploy the webhook – Ensure it can receive and process Slack commands. Run the workflow – Type /weather [cityname] in Slack and receive instant weather updates.

Stay ahead of trends by automating your content research. This workflow fetches trending keywords from Google Trends RSS, extracts key insights from top articles, and saves structured summaries in Google Sheets—helping you build a data-driven editorial plan effortlessly. How it works Fetch Google Trends RSS – The workflow retrieves trending keywords along with three related article links. Extract & Process Content – It fetches the content of these articles, cleans the HTML, and generates a concise summary using Jina AI. Store in Google Sheets – The processed insights, including the trending keyword and summary, are saved in a pre-configured Google Sheet. Setup Steps Prepare a Google Sheet – Ensure you have a Google Sheet ready to store the extracted data. Configure API Access – Set up Google Sheets API and any required authentication. Get Jina.ai API key Adjust Workflow Settings – A dedicated configuration node allows you to fine-tune how data is processed and stored. Customization Modify the RSS source to focus on specific Google Trends regions or categories. Adjust the content processing logic to refine how article summaries are created. Expand the workflow to integrate with CMS (e.g., WordPress) for automated content planning. This workflow is ideal for content strategists, SEO professionals, and news publishers who want to quickly identify and act on trending topics without manual research. 🚀 Google Sheets Fields Copy and paste these column headers into your Google Sheet: | Column Name | Description | |------------------------|-------------| | status | Initial status of the keyword (e.g., "idea") | | trending_keyword | Trending keyword extracted from Google Trends | | approx_traffic | Estimated traffic for the trending keyword | | pubDate | Date when the keyword was fetched | | news_item_url1 | URL of the first related news article | | news_item_title1 | Title of the first news article | | news_item_url2 | URL of the second related news article | | news_item_title2 | Title of the second news article | | news_item_url3 | URL of the third related news article | | news_item_title3 | Title of the third news article | | news_item_picture1 | Image URL from the first news article | | news_item_source1 | Source of the first news article | | news_item_picture2 | Image URL from the second news article | | news_item_source2 | Source of the second news article | | news_item_picture3 | Image URL from the third news article | | news_item_source3 | Source of the third news article | | abstract | AI-generated summary of the articles (limited to 49,999 characters) | Instructions Open Google Sheets and create a new spreadsheet. Copy the column names from the table above. Paste them into the first row of your Google Sheet.

Who might benfit from this workflow? Do you have to record your working hours yourself? Then this n8n workflow in combination with an iOS shortcut will definitely help you. Once set up, you can use a shortcut, which can be stored as an app icon on your home screen, to record the start, end and duration of your break. How it works Once setup you can tap the iOS shortcut on your iPhone. You will see a menu containing three options: "Track Start", "Track Break" and "Track End". After time is tracked iOS will display you a notification about the successful operation. How to set it up Copy the notion database to your notion workspace (Top right corner). Copy the n8n workflow to your n8n workspace In the notion nodes in the n8n workflow, add your notion credentials and select the copied notion database. Download the iOS Shortcut from our documentation page Edit the shortcut and paste the url of your n8n Webhook trigger node to the first "Text" node of the iOS shortcut flow. It is a best practice to use authentication. You can do so by adding "Header" auth to the webhook node and to the shrotcut. You need help implementing this or any other n8n workflow? Feel free to contact me via LinkedIn or my business website. You want to start using n8n? Use this link to register for n8n (This is an affiliate link)

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. CAD-BIM Multi-Format Validation Pipeline This workflow enables automated validation of CAD and BIM files in multiple formats (Revit, IFC, DWG, DGN) for compliance with project standards and requirements. Key Features Converts Revit, IFC, DWG, and DGN models into open data tables Runs automated validation checks on model naming, structure, attributes, and completeness Generates error reports and QTO (Quantity Take-Off) tables for all processed files How it works Upload one or more project files in Revit (.rvt), IFC (.ifc), DWG, or DGN formats The pipeline automatically processes each file and validates against configurable rules in Excel form Error summaries and QTO tables are generated All outputs are available for download as Excel Converter Path:** Make sure the converter executable (e.g. RvtExporter.exe) is placed in DDC Exporter\datadrivenlibs\. Specify the full path in the workflow settings if required. Troubleshooting:** If conversion fails, double-check the path to the executable. Only supported formats can be processed (see GitHub Readme). Review logs in /output for error details. Docs & Issues:** Full Readme on GitHub

Complete MCP server exposing all Mandrill Tool operations to AI agents. Zero configuration needed - all 2 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 Mandrill Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Mandrill Tool tool with full error handling 📋 Available Operations (2 total) Every possible Mandrill Tool operation is included: 💬 Message (2 operations) • Send a message based on a template • Send a message based on HTML 🤖 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 Mandrill 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 Mandrill 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 provides a streamlined process for uploading files to Digital Ocean Spaces, making them publicly accessible. The process happens in three main steps: User submits the form with file, in this case I needed it to upload images I use in my seo tags. File is automatically uploaded to Digital Ocean Spaces using S3-compatible storage Form completion confirmation is provided Setup steps Initial setup typically takes 5-10 minutes Configure your Digital Ocean Spaces credentials and bucket settings Test the upload functionality with a small sample file Verify public access permissions are working as expected Important notes Credentials are tricky check the screenshot above for how I set the url, bucket etc. I am just using the S3 Node Set the ACL as seen below Troubleshooting Bucket name might be incorrect Region Wrong Check Space permissions if uploads fail Verify API credentials are correctly configured You can see a video here. (live in 24 hours) https://youtu.be/pYOpy3Ntt1o

This workflow imports Productboard data into Snowflake, automating data extraction, mapping, and updates for features, companies, and notes. It supports scheduled weekly updates, data cleansing, and Slack notifications summarizing the latest insights. Features Fetches data from Productboard (features, companies, notes). Maps and processes data for Snowflake tables. Automates table creation, truncation, and updates. Summarizes new and unprocessed notes. Sends weekly Slack notifications with key insights. Setup Configure Productboard and Snowflake credentials in n8n. Update Snowflake table schemas to match your setup. Replace Slack channel ID and dashboard URL in the notification node. Activate the workflow and set the desired schedule.