Workflow Templates

This workflow automates the process of generating and scheduling social media posts using content from a WordPress blog. It leverages advanced AI (OpenAI & Anthropic Claude), Google Sheets, and the Postiz platform to create and publish platform-specific posts across LinkedIn, Facebook, Instagram, and Twitter (X). This system streamlines cross-platform social media publishing, ensuring consistent branding and AI-optimized content. Key Features Content Source: WordPress Automatically fetches the content of a WordPress post by its Post ID. Content Transformation via AI Uses Anthropic Claude and OpenAI to generate unique, optimized captions for each platform: LinkedIn: professional and insight-driven Instagram: creative with emojis and storytelling Facebook: community-oriented and friendly Twitter (X): concise, hashtag-optimized Visual Generation (Optional) Uses OpenAI's DALL·E (via OpenRouter) to generate custom images based on the AI-generated Instagram and Facebook/LinkedIn captions. Post Management with Google Sheets Uses a Google Sheet as the control panel: Simply input the WordPress Post ID Marks each post as “done” by updating corresponding columns (TWITTER, FACEBOOK, INSTAGRAM, LINKEDIN) Publishing via Postiz Uses the Postiz API to schedule or immediately publish posts to your connected social accounts. Handles image uploads and scheduling time for each platform. Benefits 💡 Intelligent automation: Saves time by removing manual copywriting and platform formatting. 🎯 Platform optimization: Ensures posts are tailored to each platform’s audience and algorithm. 🛠️ No-code friendly: Simple setup via Google Sheets + Postiz + WordPress. 🔁 Repeatable & Scalable: Ideal for agencies or content creators managing multiple posts per week. 🧪 +20 Social Media Platforms: Easy to start with social integrations. How It Works Input & Data Fetching: The workflow starts with a manual trigger (e.g., "Test workflow") or scheduled execution. It retrieves a WordPress post ID from a Google Sheets document, then fetches the full post content (title and body) via the WordPress API. AI-Powered Content Generation: The "Social Media Manager" node (powered by Claude Opus 4.1) analyzes the post and generates platform-optimized captions for: Twitter/X: Concise, hashtag-rich text (≤150 chars). Facebook/LinkedIn: Professional yet engaging copy with CTAs. Instagram: Visual-focused captions with emojis and hashtags. AI-generated images are created for Instagram (square) and Facebook/LinkedIn (landscape) using OpenAI’s image model. Publishing Automation: Captions and images are uploaded to Postiz, a social media scheduler. Postiz publishes the content to connected platforms (Twitter, Facebook, LinkedIn, Instagram) at the specified time. Google Sheets is updated with status markers (e.g., "x" in columns like TWITTER, FACEBOOK) to track published posts. Set Up Steps Prerequisites: Postiz Account: Sign up for Postiz (free trial available). API Keys: Configure Postiz API credentials in the "Postiz" and "Upload Image" nodes. Social Channels: Link your social accounts in Postiz’s dashboard and note their integrationId values (replace "XXX" in Postiz nodes). Google Sheets Setup: Clone the template Sheet and add WordPress post IDs to the "POST ID" column. Configure Nodes: WordPress: Add credentials for your WordPress site in the "Get Post" node. AI Models: Ensure API keys for Claude (Anthropic) and OpenAI (for images) are valid. Postiz Nodes: Replace placeholder integrationId values with your actual Postiz channel IDs. Test & Deploy: Trigger the workflow manually to verify captions, images, and Postiz scheduling. Activate the workflow for automation (e.g., run daily to publish new WordPress posts). Note: This workflow requires self-hosted n8n due to community nodes (Postiz, LangChain). Need help customizing? Contact me for consulting and support or add me on Linkedin.

How it works: Accesses a target website, searches for new PDFs, and downloads them automatically. Extracts content from each PDF and sends it to an AI for summarization. Delivers the AI-generated summary directly to a Discord channel. Marks processed URLs in Google Sheets to avoid duplicates. Set up steps: Configure the website URL in the HTTP Request node. Connect to Google Cloud API (enable Drive & Sheets) and link your spreadsheet. Set up an OpenRouter API key and choose your preferred AI model. Create a Discord webhook for notifications.

This n8n template helps you build a full AI-powered LinkedIn content generator with just a few clicks. Paired with the free WeWeb UI template, it becomes a ready-to-use web app where users can: Add their own OpenAI API key Customize the prompt and define 6 content topics Edit the AI-generated topics Choose when to generate LinkedIn posts, complete with hashtags and an optional image Who This Is For Perfect for marketers, indie hackers, and solopreneurs who want to build their personal brand on LinkedIn while staying in control of what gets posted. 🧠 What Makes This Different Unlike most AI agents, you stay fully in control: You define the tone and focus via the prompt. You choose which topics to keep or modify. You decide when to generate a post. You can build on top of this and create your own SaaS product. It’s also modular and extendable—hook it up to your backend, add user login, or feed AI improvements based on user input. ⚙️ How It Works Triggering Events: The app includes 3 pre-configured triggers, ready to be hooked into your WeWeb frontend. Just update the webhook URLs after duplicating the n8n workflow. Topic Generation: A call is made to OpenAI (GPT-4) to generate topic ideas based on your prompt. Post Creation: Once topics are approved or edited, GPT-4 writes full posts with suggested hashtags. Image Generation (Optional): If enabled, a DALL·E call generates a relevant image. Everything Stays Local: All data and images are handled locally, no cloud storage setup needed. 🧪 Requirements & Setup No fancy infrastructure required. Here’s what helps you get started: Free WeWeb account** (recommended) to use the frontend UI template OpenAI account** with API access (for GPT-4 and DALL·E) n8n account** (self-hosted or cloud) to run the backend workflow The template is completely free to use. Since each user adds their own OpenAI API key, you don't need to worry about usage costs or rate limits on your end. 🔧 Want to Go Further? This setup is beginner-friendly, but developers can: Add user accounts Save post history Feed user feedback back into the prompt logic Launch their own branded version as a SaaS

Email Inbox Manager System Categories Email Automation AI-Powered Operations Internal Productivity Tools This workflow builds a fully automated AI-powered email categorization and response assistant. It intelligently processes, categorizes, labels, and drafts replies to incoming Gmail messages in real time using AI with zero manual involvement. Perfect for support, sales, finance, and internal operations. Benefits Automated Email Triage** – Every unread email is instantly read, analyzed, and classified AI-Powered Categorization** – Uses GPT-4 to understand content and apply correct labels Smart Response Generation** – Automatically drafts accurate replies based on category Slack Notifications** – Instantly notifies your team about internal or sales-related messages Seamless Gmail Integration** – Labels, drafts, and marks emails directly in your inbox Custom Classification Rules** – Tailored to internal, support, sales, finance, and promotional needs How It Works Gmail Trigger: Monitors Gmail inbox in real-time for new unread messages Triggers the workflow every minute with no need for manual refresh Smart Classification: Feeds email body to AI-powered Text Classifier Categories include: Internal, Customer Support, Promotions, Admin/Finance, and Sales Opportunity Classification based on sender domain, keywords, and context AI-Based Labeling: Applies appropriate Gmail label based on classification result Helps keep inbox clean, organized, and easily searchable AI Reply Generation: Specialized GPT-4 agents generate replies tailored to each category: Internal:** Polished team replies Customer Support:** Clear and professional customer responses Promotions:** Summarizes and evaluates promotional value Admin/Finance:** Extracts invoice/payment information Sales Opportunity:** Drafts personalized replies and sales notifications Auto-Drafting + Slack Alerts: Replies are saved as Gmail drafts, ready for review or direct send Sends Slack notifications for Internal or Sales Opportunities Includes subject lines and quick message previews Smart Decision-Making: Promotional emails are evaluated with AI for usefulness Only valuable offers are flagged or responded to Automatically marks emails as read after processing Business Use Cases Customer Support Teams** – Automatically categorize and prep replies to client messages Sales Reps** – Instantly receive drafted responses to new inquiries Operations Managers** – Keep internal comms clear and responsive Finance Departments** – Auto-extract and review payment/invoice messages Founders** – Never miss an important email while your AI sorts and replies for you Difficulty Level: Intermediate Estimated Build Time: 2–4 hours Monthly Operating Cost: $20–80 (depending on OpenAI usage and Slack volume) Required Setup Gmail Integration Set up Gmail OAuth2 connection Create labels: Internal, Customer Support, Promotions, Admin/Finance, Sales Opportunity OpenAI Integration Connect GPT-4 or GPT-4o account Configure role-based prompts for each email category Output structured response data (subject, body, notification) Slack Integration Set up Slack OAuth2 connection Configure target Slack channel Notify team when important categories are triggered System Architecture The workflow follows a powerful 6-stage automation: Trigger – Poll Gmail for new unread emails Classify – AI categorizes the email into the right bucket Label – Applies Gmail label for search and visibility Generate Reply – GPT-4 crafts draft email reply Draft Email – Saves response in Gmail Notify – Optional Slack message alerts for priority emails Why This System Works Inbox Clarity – Keeps your inbox categorized and organized Human Quality Replies – AI-generated messages sound professional and personalized Time-Saving Automation – Handles support, sales, internal ops, and finance without touching your inbox Multi-Agent Architecture – Each email type is handled by a specialized GPT-4 prompt Real Time Reactions – From email receipt to Slack notification in under a minute

LintGuardian: Automated PR Linting with n8n & AI What It Does LintGuardian is an n8n workflow template that automates code quality enforcement for GitHub repositories. When a pull request is created, the workflow automatically analyzes the changed files, identifies linting issues, fixes them, and submits a new PR with corrections. This eliminates manual code style reviews, reduces back-and-forth comments, and lets your team focus on functionality rather than formatting. How It Works The workflow is triggered by a GitHub webhook when a PR is created. It fetches all changed files from the PR using the GitHub API, processes them through an AI-powered linting service (Google Gemini), and automatically generates fixes. The AI agent then creates a new branch with the corrected files and submits a "linting fixes" PR against the original branch. Developers can review and merge these fixes with a single click, keeping code consistently formatted with minimal effort. Prerequisites To use this template, you'll need: n8n instance: Either self-hosted or using n8n.cloud GitHub repository: Where you want to enforce linting standards GitHub Personal Access Token: With permissions for repo access (repo, workflow, admin:repo_hook) Google AI API Key: For the Gemini language model that powers the linting analysis GitHub webhook: Configured to send PR creation events to your n8n instance Setup Instructions Import the template into your n8n instance Configure credentials: Add your GitHub Personal Access Token under Credentials → GitHub API Add your Google AI API key under Credentials → Google Gemini API Update repository information: Locate the "Set Common Fields" code node at the beginning of the workflow Change the gitHubRepoName and gitHubOrgName values to match your repository const commonFields = { 'gitHubRepoName': 'your-repo-name', 'gitHubOrgName': 'your-org-name' } Configure the webhook: Create a file named .github/workflows/lint-guardian.yml in your repository replacing the Trigger n8n Workflow step with your webhook: name: Lint Guardian on: pull_request: types: [opened, synchronize] jobs: trigger-linting: runs-on: ubuntu-latest steps: name: Trigger n8n Workflow uses: fjogeleit/http-request-action@v1 with: url: 'https://your-n8n-instance.com/webhook/1da5a6e1-9453-4a65-bbac-a1fed633f6ad' method: 'POST' contentType: 'application/json' data: | { "pull_request_number": ${{ github.event.pull_request.number }}, "repository": "${{ github.repository }}", "branch": "${{ github.event.pull_request.head.ref }}", "base_branch": "${{ github.event.pull_request.base.ref }}" } preventFailureOnNoResponse: true Customize linting rules (optional): Modify the AI Agent's system message to specify your team's linting preferences Adjust file handling if you have specific file types to focus on or ignore Security Considerations When creating your GitHub Personal Access Token, remember to: Choose the minimal permissions needed (repo, workflow, admin:repo_hook) Set an appropriate expiration date Treat your token like a password and store it securely Consider using GitHub's fine-grained personal access tokens for more limited scope As GitHub documentation notes: "Personal access tokens are like passwords, and they share the same inherent security risks." Extending the Template You can enhance this workflow by: Adding Slack notifications when linting fixes are submitted Creating custom linting rules specific to your team's needs Expanding it to handle different types of code quality checks Adding approval steps for more controlled environments This template provides an excellent starting point that you can customize to fit your team's exact workflow and code style requirements.

This workflow allows you to ask questions about the data in a Google Sheet over a chat interface. It uses n8n's built-in chat, but could be modified to work with Slack, Teams, WhatsApp, etc. Behind the scenes, the workflow uses GPT4, so you'll need to have an OpenAI API key that supports it. How it works The workflow uses an AI agent with custom tools that call a sub-workflow. That sub-workflow reads the Google Sheet and returns information from it. Because models have a context window (and therefore a maximum number of characters they can accept), we can't pass the whole Google Sheet to GPT - at least not for big sheets. So we provide three ways of querying less data, that can be used in combination to answer questions. Those three functions are: List all the columns in the sheet Get all values of a single column Get all values of a single row Note that to use this template, you need to be on n8n version 1.19.4 or later.

This workflow automatically enriches company domain lists with comprehensive business information scraped from ZoomInfo, organizing the data in Google Sheets for sales teams and researchers. Who's it for Sales teams** building prospect databases with accurate company information Marketing professionals** researching target companies for outreach campaigns Business development teams** qualifying leads with revenue and employee data Researchers** collecting structured company data for market analysis Lead generation specialists** enriching domain lists with contact details How it works The workflow processes unprocessed domains from a Google Sheet, searches for their ZoomInfo profiles using Serper API, scrapes the company pages through Oxylabs proxy service, and extracts structured business data. Each domain is marked as processed to prevent duplicates, and the workflow includes proper rate limiting to respect API limits. What it does Loads unprocessed domains from your Google Sheets database Searches ZoomInfo using targeted queries via Serper API for each domain Validates search results and extracts relevant ZoomInfo profile URLs Scrapes company pages using Oxylabs to bypass anti-scraping protection Extracts structured data including company details, address, revenue, and employee count Updates Google Sheets with enriched company information Tracks processing status to prevent reprocessing the same domains Requirements Serper API account** with search credits (Get API key) Oxylabs subscription** for web scraping proxy service (Sign up here) Google Sheets API access** with OAuth2 authentication Google Sheets template** - Make a copy of this template sheet with pre-configured columns How to set up Make a copy of the Google Sheets template - Click here to copy the template to your Google Drive Configure API credentials in the respective HTTP Request nodes: Add Serper API key in the search node Set up Oxylabs username/password in the scraping node Set up Google Sheets authentication using OAuth2 Update the Google Sheets document ID in all Google Sheets nodes to point to your copied template Add your domain list to the sheet with 'processed' column empty or false Run the workflow using the manual trigger How to customize the workflow Search query modification**: Update the search query in the Serper node for different geographic focus (currently set for Czech Republic) Data extraction fields**: Modify the Google Sheets column mapping to include/exclude specific company data points Rate limiting**: Adjust wait times between requests to match your API rate limits Batch processing**: Configure the split batch size for processing domains in smaller groups Error handling**: Customize the continue-on-error settings based on your data quality requirements Scheduling**: Replace Manual Trigger with Schedule Trigger for automated daily/weekly runs Output data includes Complete company name and official address Phone numbers and contact information Revenue figures and employee headcount Industry classifications and business categories LinkedIn company profile URLs Geographic location details (city, state, country, postal code) Processing status tracking for workflow management Note: This workflow includes comprehensive error handling to ensure domains are always marked as processed, preventing infinite loops while maintaining data integrity. Rate limiting is built-in to respect API quotas and avoid service interruptions.

This workflow allows users to generate AI videos using Google Veo3, save them to Google Drive, generate optimized YouTube titles with GPT-4o, and automatically upload them to YouTube with Upload-Post. The entire process is triggered from a Google Sheet that acts as the central interface for input and output. IT automates video creation, uploading, and tracking, ensuring seamless integration between Google Sheets, Google Drive, Google Veo3, and YouTube. Benefits of this Workflow 💡 No Code Interface**: Trigger and control the video production pipeline from a simple Google Sheet. ⚙️ Full Automation**: Once set up, the entire video generation and publishing process runs hands-free. 🧠 AI-Powered Creativity**: Generates engaging YouTube titles using GPT-4o. Leverages advanced generative video AI from Google Veo3. 📁 Cloud Storage & Backup**: Stores all generated videos on Google Drive for safekeeping. 📈 YouTube Ready**: Automatically uploads to YouTube with correct metadata, saving time and boosting visibility. 🧪 Scalable**: Designed to process multiple video prompts by looping through new entries in Google Sheets. 🔒 API-First**: Utilizes secure API-based communication for all services. How It Works Trigger: The workflow can be started manually ("When clicking ‘Test workflow’") or scheduled ("Schedule Trigger") to run at regular intervals (e.g., every 5 minutes). Fetch Data: The "Get new video" node retrieves unfilled video requests from a Google Sheet (rows where the "VIDEO" column is empty). Video Creation: The "Set data" node formats the prompt and duration from the Google Sheet. The "Create Video" node sends a request to the Fal.run API (Google Veo3) to generate a video based on the prompt. Status Check: The "Wait 60 sec." node pauses execution for 60 seconds. The "Get status" node checks the video generation status. If the status is "COMPLETED," the workflow proceeds; otherwise, it waits again. Video Processing: The "Get Url Video" node fetches the video URL. The "Generate title" node uses OpenAI (GPT-4.1) to create an SEO-optimized YouTube title. The "Get File Video" node downloads the video file. Upload & Update: The "Upload Video" node saves the video to Google Drive. The "HTTP Request" node uploads the video to YouTube via the Upload-Post API. The "Update Youtube URL" and "Update result" nodes update the Google Sheet with the video URL and YouTube link. Set Up Steps Google Sheet Setup: Create a Google Sheet with columns: PROMPT, DURATION, VIDEO, and YOUTUBE_URL. Share the Sheet link in the "Get new video" node. API Keys: Obtain a Fal.run API key (for Veo3) and set it in the "Create Video" node (Header: Authorization: Key YOURAPIKEY). Get an Upload-Post API key (for YouTube uploads) and configure the "HTTP Request" node (Header: Authorization: Apikey YOUR_API_KEY). YouTube Upload Configuration: Replace YOUR_USERNAME in the "HTTP Request" node with your Upload-Post profile name. Schedule Trigger: Configure the "Schedule Trigger" node to run periodically (e.g., every 5 minutes). Need help customizing? Contact me for consulting and support or add me on Linkedin.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Who is this for? IT teams and support organizations looking to automate Level 1 support with AI-powered assistance while maintaining proper ticket management workflows. What problem does this solve? Eliminates repetitive manual support tasks by providing instant, context-aware assistance that references organizational knowledge and creates structured tickets when needed. What this workflow does RAG Pipeline**: Processes PDF/CSV documents into searchable vector database Intelligent Slack Bot**: This AI-helpdesk assistant handles support requests with thread-aware conversations Vector Knowledge Search**: Searches embedded knowledge base articles and historical case data JIRA Integration**: Creates, searches, and manages support tickets automatically Emoji Reactions**: Users can trigger actions (create tickets, escalate) via emoji reactions Requirements Required Accounts: n8n Cloud or self-hosted instance Slack workspace with admin access Supabase account (vector database) JIRA Cloud instance OpenAI API key Technical Prerequisites: Basic n8n workflow knowledge Slack app creation experience Understanding of vector databases Setup Steps 1. Slack App Configuration Create new Slack app with Bot Token Scopes: app_mentions:read, channels:history, channels:read, groups:history, groups:read, im:history, im:read, mpim:history, mpim:read, users:read Configure Event Subscriptions: app_mention, message.channels, message.groups, reaction_added Set Request URL to your n8n Slack Trigger webhook 2. Supabase Vector Database Setup Create new Supabase project Enable pgvector extension Create documents table with vector column (1536 dimensions for OpenAI embeddings) Configure RLS policies for secure access 3. JIRA Configuration Generate API token from JIRA Cloud Create helpdesk project with appropriate issue types Note project ID and issue type IDs for workflow configuration 4. n8n Workflow Configuration Import workflow and configure credentials Update Slack channel IDs in trigger nodes Set OpenAI API key in all OpenAI nodes Configure Supabase connection in vector store nodes Update JIRA project settings in MCP server nodes 5. Knowledge Base Data Format Supported file formats: PDF, CSV CSV Structure: Structure your data with columns, but not limited to, Ticket#, Issue Description, Issue Summary, Resolution Provided, Case Status, Contact User PDF Content: Technical documentation, troubleshooting guides, policy documents Upload documents via the form trigger to automatically embed in vector database. Customization Options AI Agent Behavior Modify system prompt in AIHelpdesk Agent node Adjust conversation memory window (default: 20 messages) Change AI model (GPT-4o, GPT-3.5-turbo, etc.) Reaction Mappings Customize emoji-to-action mappings in Reaction Handler code Add new reaction types for department-specific workflows Configure escalation rules and priority levels JIRA Integration Customize ticket templates and fields Add auto-assignment rules based on issue type Configure SLA and priority mappings Vector Search Adjust similarity thresholds for knowledge retrieval Modify search result limits and relevance scoring Add metadata filtering for departmental knowledge bases Advanced Features Thread-aware conversation memory Automatic bot loop prevention Context-preserving ticket creation Multi-modal file processing (PDF + CSV) Scalable MCP architecture for tool integration Use Cases Level 1 IT Support**: Automate common troubleshooting workflows Employee Onboarding**: Answer policy and procedure questions Internal Help Desk**: Route and track internal service requests Knowledge Management**: Make organizational knowledge searchable and actionable Template includes Complete Slack integration with thread support RAG pipeline for document processing Vector similarity search implementation JIRA ticket lifecycle management Emoji reaction-based user interactions Comprehensive error handling and validation

Automated QuickBooks Invoice to Custom PDF & Email Tired of the standard, boring invoices from QuickBooks Online? This workflow completely automates the process of creating beautiful, custom-branded PDF invoices and emailing them directly to your clients, saving you time and elevating your brand's professionalism. The moment you create an invoice in QuickBooks, this workflow triggers, fetches all the necessary data, and generates a lavish, multi-page-aware PDF invoice complete with your company logo and signature. Key Features Fully Automated:** Runs instantly when a new invoice is created in QuickBooks. Custom Branding:** Automatically fetches your company logo and signature from a URL to place on the invoice. Modern & Professional Design:** Uses a premium, multi-column HTML template that is clean, easy to read, and far superior to the default QBO templates. Multi-Page Ready:** If an invoice has many line items, the template will intelligently create multiple pages and add a "Page X of Y" footer automatically. Smart Layout:** The totals and summary block are designed to never break across pages, ensuring a professional look no matter the length. Automatic Emailing:** The final PDF is attached to a beautifully formatted email and sent directly to the customer's email address on file. Prerequisites Before you start, you will need a few things: A running n8n instance. A QuickBooks Online account with API access. A running Gotenberg instance. This is a powerful, open-source tool for converting HTML to PDF. This workflow is designed to connect to its API. You can learn more about it here. Publicly accessible URLs for your company logo and signature image (e.g., hosted on your website or a service like Imgur). Setup Guide Follow these steps carefully to configure the workflow for your own use. Nodes that need your attention are marked with a [!!] prefix. Step 1: Configure the QuickBooks Webhook The workflow starts with a webhook. You need to tell QuickBooks to send information to this webhook. Open the [!!] Listen for New QuickBooks Invoice node. You will see a Webhook URL. Copy the Production URL. Go to your QuickBooks Developer dashboard, select your app, and navigate to the Webhooks section. Paste the n8n URL into the Endpoint URL field and select the Invoice event to subscribe to. Step 2: Connect Your QuickBooks Account Open the [!!] Get Invoice Data from QuickBooks node. In the "Credentials" field, select your existing QuickBooks Online credentials or create a new set. Step 3: Add Your Branding Open the [!!] Fetch Company Logo Image node. In the URL field, replace the placeholder with the public URL of your company's logo. Open the [!!] Fetch Company Signature Image node. In the URL field, replace the placeholder with the public URL of your signature image. Step 4: Update the PDF Generation Service Open the [!!] Generate PDF via Gotenberg node. In the URL field, replace the placeholder http://YourGotenBergInstanceURL/... with the real URL of your running Gotenberg instance. Step 5: Configure Your Email Open the [!!] Email PDF Invoice to Customer node. In the "Credentials" field, select your SMTP or email service credentials. Customize the From Email and Subject fields. You can also edit the beautiful HTML email body to match your company's tone of voice. Step 6: Activate Your Workflow You're all set! Save the workflow and activate it using the toggle at the top-right of the screen. Now, when you create a new invoice in QuickBooks, this automation will handle the rest. A Note from the Creator Thank you for using this workflow! I believe that professional and automated invoicing is a cornerstone of a great business. This tool was designed to save you time and help you put your best foot forward with every client interaction. If you have any questions or need assistance, feel free to reach out. Website:** https://www.elegantbiztech.com/ Email:** sales@elegantbiztech.com

📌 AI Agent Template with Bright Data MCP Tool Integration This template enables natural-language-driven automation using Bright Data MCP tools. It extracts all available tools from MCP, processes the user’s query through an AI agent, then dynamically selects and executes the appropriate tool. ❓ Problem It Solves Traditional automation often requires users to understand APIs, interfaces, or scripts to perform backend tasks. The Bright Data MCP integration solves this by allowing natural language interaction, intelligently classifying user intent, and managing context-aware execution of complex operations—ideal for data extraction, customer support, and workflow orchestration. 🧰 Pre-requisites Before deploying this template, make sure you have: An active N8N instance (self-hosted or cloud). A valid OpenRouter API key (or another compatible AI model). Telegram bot and its API token Access to the Bright Data MCP API with credentials. Basic familiarity with N8N workflows and nodes. ⚙️ Setup Instructions Setup and obtain API token and other necessary information from Bright Data In your Bright Data account, obtain the following information: API token Web Unlocker zone name (optional) Browser Zone name (optional) Host SSE server from STDIO command The methods below will allow you to receive SSE (Server-Sent Events) from Bright Data MCP via a local Supergateway or Smithery ** Method 1: Run Supergateway in a separate web service (Recommended) This method will work for both cloud version and self-hosted N8N. Signup to any cloud services of your choice (DigitalOcean, Heroku, Hetzner, Render, etc.). For NPM based installation: Create a new web service. Choose Node.js as runtime environment and setup a custom server without repository. In your server’s settings to define environment variables or .env file, add: `API_TOKEN=your_brightdata_api_token WEB_UNLOCKER_ZONE=optional_zone_name BROWSER_ZONE=optional_browser_zone_name` Paste the following text as a start command: npx -y supergateway --stdio "npx -y @brightdata/mcp" --port 8000 --baseUrl http://localhost:8000 --ssePath /sse --messagePath /message Deploy it and copy the web server URL, then append /sse into it. Your SSE server should now be accessible at: https://your_server_url/sse For Docker based installation: Create a new web service. Choose Docker as the runtime environment. Set up your Docker environment by pulling the necessary images or creating a custom Dockerfile. In your server’s settings to define environment variables or .env file, add: `API_TOKEN=your_brightdata_api_token WEB_UNLOCKER_ZONE=optional_zone_name BROWSER_AUTH=optional_browser_auth` Use the following Docker command to run Supergateway: `docker run -it --rm -p 8000:8000 supercorp/supergateway \ --stdio "npx -y @brightdata/mcp /" \ --port 8000` Deploy it and copy the web server URL, then append /sse into it. Your SSE server should now be accessible at: https://your_server_url/sse For more installation guides, please refer to https://github.com/supercorp-ai/supergateway.git. ** Method 2: Run Supergateway in the same web service as the N8N instance This method will only work for self-hosted N8N. a. Set Required Environment Variables In your server's settings to define environment variables or .env file, add: API_TOKEN=your_brightdata_api_token WEB_UNLOCKER_ZONE=optional_zone_name BROWSER_ZONE=optional_browser_zone_name b. Run Supergateway in Background npx -y supergateway --stdio "npx -y @brightdata/mcp" --port 8000 --baseUrl http://localhost:8000 --ssePath /sse --messagePath /message Use the command above to execute it through the cloud shell or set it as a pre-deploy command. Your SSE server should now be accessible at: http://localhost:8000/sse For more installation guides, please refer to https://github.com/supercorp-ai/supergateway.git. * *Method 3: Configure via Smithery.ai* (Easiest) If you don't want additional setup and want to test it right away, follow these instructions: Visit https://smithery.ai/server/@luminati-io/brightdata-mcp/tools to: Signup (if you are new to Smithery) Create an API key Define environment variables via a profile Retrieve your SSE server HTTP URL Import the Workflow Open N8N. Import the JSON workflow file included with this template. Update any nodes referencing external services (e.g., OpenRouter, Telegram). Setup Telegram Integration If you haven't setup a bot in Telegram, below is the instruction how to create one using BotFather: Search for @BotFather in Telegram and start a conversation with it. Send the command /newbot to create a new bot. You'll be prompted to enter a name and a unique username for your bot. BotFather will provide you with an access token, which you'll need to use to interact with the bot's API. Edit the HTTP Request node in the workflow. Configure the URL as follows: https://api.telegram.org/bot+your_telegram_bot_token+/setWebhook?url=+your_webhook_url Replace +your_telegram_bot_token+ with your actual Telegram bot token. Replace +your_webhook_url+ with the URL from the Webhook Trigger node in the workflow. This will set up Telegram to forward messages to your n8n agent. 🔄 Workflow Functionality (Summary) The user submits a message via chat. Memory** nodes retain context for multi-turn conversations. The mapped tool is executed and results are returned contextually. 🧠 Optional memory buffers and memory manager nodes keep the interaction context-aware. 🧩 Use Cases Data Scraping on Demand**: Launch scraping tasks via chat. Lead Generation Bots**: Enrich or validate leads with MCP tools. AI-Powered Customer Support**: Classify and answer queries with real-time data tools. Workflow Assistants**: Let teams run backend processes like lookups or report generation using plain language. 🛠️ Customization Classifier Prompt & Logic**: Tweak the AI’s prompt and tool-matching schema to better fit your use case. Memory Configuration**: Adjust retention policies and context depth. Tool Execution Sub-Workflow**: Extend for retries, logging, or chaining actions. Omni-Channel Support**: Connect via webhooks to chat interfaces like Slack, WhatsApp, Telegram, or custom UIs. ✅ Summary This template equips you with a powerful no-code/low-code AI agent that translates conversation into real-world action. Using Bright Data’s MCP tools through natural language, it enables teams to automate and scale data-driven tasks effortlessly.

For Who? Content Creators Youtube Automation Marketing Team How it works? 1 - Every week, retrieve the keywords you want to track 2 - Thanks to Apify, scrape videos from YouTube Search related to these keywords, filtered by relevance 3 - Wait until the dataset is completed 4 - Get the information contained in the dataset 5 - For each video, clean and summarize the script 6 - Upload everything to your Airtable database 📺 YouTube Video Tutorial: Setup (~5min) Scheduled Trigger: Select the frequency you want. If you change it, update the data accordingly in the "Create Videos Dataset" HTTP Request node in Body ➡️ JSON ➡️ dateFilter. Setup Keywords: Enter keywords related to the niche you want. If you change the number of keywords, update the data accordingly in the "Create Videos Dataset" HTTP Request node in Body ➡️ JSON ➡️ searchQueries. Create Videos Dataset: Refer to the Apify documentation for more: https://docs.apify.com/api/v2/getting-started APIs: For all HTTP Request nodes in the URL field, replace [YOUR_API_TOKEN] with your API token. 👨‍💻 More Workflows : https://n8n.io/creators/nasser/