Workflow Templates

Healthcare Clinic Assistant with WhatsApp and Telegram Integration Version: 1.1.0 n8n Version: 1.88.0+ License: MIT 📋 Description A comprehensive and modular automation workflow designed for healthcare clinics. It manages patient communication, appointment scheduling, confirmations, rescheduling, internal tasks, and media processing by integrating WhatsApp, Telegram, Google Calendar, and Google Tasks, combined with AI-powered agents for maximum efficiency. This system guarantees proactive communication with patients, streamlined internal clinic management, and consistent data synchronization across platforms. 🌟 Key Features 🤖 AI-Powered Specialized Agents: Distinct agents handle WhatsApp patient support, appointment confirmations, and internal rescheduling tasks. 📱 Omnichannel Communication: Handles patient interactions via WhatsApp and staff commands via Telegram. 📅 Google Calendar Appointment Management: Full synchronization for creating, updating, canceling, and confirming appointments. 📋 Task Management with Google Tasks: Manages shopping lists and administrative tasks efficiently through staff Telegram requests. 🔔 Automated Appointment Reminders: Daily-triggered system proactively sends WhatsApp confirmations to patients for next-day appointments. 🖼️ Intelligent Media Processing: Transcribes audios, extracts text from images, and processes documents using OpenAI and OpenRouter AI models. 🛡️ Escalation to Human Support: Automatically detects sensitive or urgent cases and escalates them to a human agent when needed. 🏥 Use Cases Patient Communication:** Respond to inquiries, schedule, reschedule, and confirm appointments seamlessly via WhatsApp. Internal Clinic Operations:** Allow staff to modify appointments or add shopping list reminders directly from Telegram. Appointment Confirmation System:** Automatically contacts patients one day prior to appointments for confirmation or rescheduling. Task and Reminder Management:** Keeps clinic operations organized through automatic task management with Google Tasks. 🛠️ Technical Implementation WhatsApp Patient Interaction Flow Webhook Reception:** Incoming WhatsApp messages captured via Evolution API webhook. Message Classification:** Intelligent routing of messages based on content type (text, image, audio, document). Media Content Processing:** Audios: Download, convert, and transcribe via OpenAI Whisper. Images: Analyze and extract text/descriptions with OpenAI Vision model. Patient Request Handling:** Specialized WhatsApp assistant responds appropriately using AI prompts. Outbound Message Formatting:** Ensures messages comply with WhatsApp format standards. Message Delivery:** Sends responses back via Evolution API. Telegram Staff Management Flow Telegram Webhook Reception:** Captures messages from authorized staff accounts. Internal Assistant Processing:** Appointment Rescheduling: Identifies and updates appointments through MCP Google Calendar. Task Creation: Adds new entries to the clinic's shopping list using Google Tasks. Notifications and Confirmations:** Sends confirmations back to staff through Telegram. Appointment Reminder System Daily Trigger Activation:** Fires every weekday at 08:00 AM. Calendar Scraping:** Lists next day's appointments from Google Calendar. Patient Contact:** Sends WhatsApp confirmation messages for each appointment. Response Management:** Redirects confirmation or rescheduling replies to appropriate agents. ⚙️ Setup Instructions Import the Workflow n8n → Workflows → Import from File → Upload this JSON file. Configure Credentials Evolution API (WhatsApp Communication) Telegram Bot API (Staff Communication) Google Calendar OAuth2 (Appointment Management) Google Tasks OAuth2 (Task Management) OpenAI and OpenRouter APIs (AI Agents) PostgreSQL Database (Chat Memory) Set Sensitive Variables Replace placeholder values: {sua instância aqui} → Evolution API instance name {número_whatsapp} → WhatsApp numbers {url_do_servidor} → Server URLs {a sua apikey aqui} → API keys {seu_calendario} → Google Calendar ID Customize AI Prompts Adjust system prompts to fit your clinic’s tone, service style, and patient communication guidelines. Set clinic operating hours, escalation rules, and cancellation procedures in AI prompts. Activate and Test Simulate patient messages via WhatsApp. Test Telegram commands from staff members. Validate daily appointment reminders using the scheduled trigger. 🏷️ Tags Healthcare Clinic Management WhatsApp Integration Telegram Bot Appointment Scheduling Google Calendar Google Tasks AI Agents n8n Automation 📚 Technical Notes PostgreSQL is used for persistent chat memory across sessions. Multiple AI Models Used: OpenAI GPT-4.1-nano OpenAI GPT-4.1-mini Google Gemini 2.0 and 2.5 Full media content processing supported (audio, image, text). Compliant escalation workflows ensure patient safety and proper handoff to human staff when necessary. All sensitive patient data are securely stored inside calendar event descriptions for easy retrieval by agents. 📜 License This workflow is provided under the MIT License. Feel free to adapt and customize it for your clinic’s specific needs.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Uncover new business leads with this AI-Powered Prospect Discovery Agent! This n8n workflow acts as a specialized intelligent assistant that, given a business type and location, uses multiple search strategies to identify a list of potential prospect companies and their websites. Stop manually trawling through search results! This agent automates the initial phase of lead generation by: Understanding your target business profile (type, location, keywords). Strategically using web search tools (Brave Search, Google Gemini Search) to find relevant businesses. Performing quick validations to confirm relevance. Returning a clean, structured JSON list of prospect names and their website URLs. How it Works: The workflow is built around an AI agent powered by Google Gemini. This agent is equipped with tools like: Brave Web Search:** For broad initial sourcing of potential business candidates. Google Gemini Search:** For advanced, context-aware discovery and finding businesses mentioned in various online sources. Brave Local Search (Selective):** For quick verification of local presence or finding website URLs for identified names. Jina AI Web Page Scraper (Very Selective):** For extremely rapid relevance checks on uncertain websites by scanning page content for keywords. The agent's system prompt guides it to use these tools efficiently to build a list of prospects without getting bogged down in deep research on any single one at this discovery stage. Use Cases: Lead Generation:** Automatically generate lists of potential clients based on industry and location. Market Research:** Identify key players or types of businesses in a specific geographical area. Sales Development:** Provide SDRs with initial lists of companies to research further. Called as a Sub-Workflow:** Designed to be easily integrated as a "tool" into more complex orchestrating AI agents (e.g., a BNI Pitch Planner that first needs to identify who to target). Setup: Import the workflow. Configure Credentials: You'll need n8n credentials for: Google Gemini (for the Chat model and the Gemini Search/Vertex AI Search tool). Brave Search (e.g., via Smithery MCP, or adapt if you have direct API access). Jina AI (for the web scraper). Assign these to the respective nodes. Review System Prompt: The prospect_discovery_agent node contains a detailed system prompt. You can fine-tune this to adjust its search strategies or the strictness of its matching. Inputs: This workflow is triggered by an "Execute Workflow Trigger" node (prospect_discovery_workflow). It expects the following inputs: business_type (string): e.g., "artisan bakery" location_query (string): e.g., "Portland, Oregon" desired_num_prospects (number): e.g., 5 additional_keywords (string, optional): e.g., "organic, gluten-free" To Use (as a Sub-Workflow/Tool): This workflow is typically called by another n8n workflow (e.g., using a "Tool Workflow" node from the Langchain nodes). The calling workflow would provide the inputs listed above. The "Prospect Discovery" workflow will then execute and its final node (the prospect_discovery_agent) will output a JSON array of found prospects, like: [ { "business_name": "Rose Petal Bakery", "website_url": "https://rosepetalbakerypdx.com" }, { "business_name": "The Daily Bread Artisans", "website_url": "https://dailybreadpdx.com" } ] If no prospects are found, it returns an empty array []. This template provides a powerful and focused tool for automating the initial stages of prospect identification.

Remixed Backup your workflows to GitHub from Solomon's work. Check out his templates. How it works This workflow will backup your workflows to GitHub. It uses the n8n API node to export all workflows. It then loops over the data, checks in GitHub to see if a file exists that uses the credential's ID. Once checked it will: update the file on GitHub if it exists; create a new file if it doesn't exist; ignore if it's the same. In addition, it also checks if any workflows have been deleted from n8n. If a workflow no longer exists in n8n, the corresponding file will be removed from the repository to keep everything in sync. Who is this for? People wanting to backup their workflows outside the server for safety purposes or to migrate to another server.

What this template does The Ultimate Scraper for n8n uses Selenium and AI to retrieve any information displayed on a webpage. You can also use session cookies to log in to the targeted webpage for more advanced scraping needs. ⚠️ Important: This project requires specific setup instructions. Please follow the guidelines provided in the GitHub repository: n8n Ultimate Scraper Setup : https://github.com/Touxan/n8n-ultimate-scraper/tree/main. The workflow version on n8n and the GitHub project may differ; however, the most up-to-date version will always be the one available on the GitHub repository : https://github.com/Touxan/n8n-ultimate-scraper/tree/main. How to use Deploy the project with all the requirements and request your webhook. Example of request: curl -X POST http://localhost:5678/webhook-test/yourwebhookid \ -H "Content-Type: application/json" \ -d '{ "subject": "Hugging Face", "Url": "github.com", "Target data": [ { "DataName": "Followers", "description": "The number of followers of the GitHub page" }, { "DataName": "Total Stars", "description": "The total numbers of stars on the different repos" } ], "cookie": [] }' Or to just scrap a url : curl -X POST http://localhost:5678/webhook-test/67d77918-2d5b-48c1-ae73-2004b32125f0 \ -H "Content-Type: application/json" \ -d '{ "Target Url": "https://github.com", "Target data": [ { "DataName": "Followers", "description": "The number of followers of the GitHub page" }, { "DataName": "Total Stars", "description": "The total numbers of stars on the different repo" } ], "cookies": [] }' `

WATCH THE n8n STARTER GUIDE 👇 This template is featured in the n8n Starter Guide series. The template is free, but comes with two additional PDFs and a Quick Start video if you grab the full download pack on gumroad. How it works This template is a visual map of many useful n8n nodes. It groups nodes like Triggers, AI tools, and App connectors onto the canvas. Explore the sections to learn about different nodes and easily copy them for your own workflows. It acts as a handy visual reference guide. Set up steps • Setup takes about 5 minutes. • Import the template into your n8n instance. • Explore the node categories visually on the canvas. • A Quick Start video is included in the download pack, along with a prompts PDF and PDF with links to other awesome n8n templates here on the n8n template gallery.

🛠️ SIGNL4 Tool MCP Server Complete MCP server exposing all SIGNL4 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 SIGNL4 Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n SIGNL4 Tool tool with full error handling 📋 Available Operations (2 total) Every possible SIGNL4 Tool operation is included: 🔧 Alert (2 operations) • Send an alert • Resolve an alert 🤖 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 SIGNL4 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 SIGNL4 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 automated n8n workflow sets up a complete MERN Stack development environment on a Linux server by installing core technologies, development tools, package managers, global npm packages, deployment tools, build tools, and security configurations. It creates a dedicated developer user and configures essential settings for MERN projects. What is MERN Stack Setup? MERN Stack setup involves installing and configuring Node.js, MongoDB, Express.js, and React, along with additional tools and packages, to create a fully functional development environment for building MERN-based applications on a Linux system. Good to Know The workflow triggers manually and takes 10-15 minutes to complete A dedicated developer user with proper permissions is created Firewall configuration secures development ports The environment variables template is provided All tools are installed and ready for immediate use How It Works Set Parameters** - Configures server host, user, password, setup type, Node.js version, MongoDB version, username, and user password System Preparation** - Prepares the system for installation Install Node.js** - Installs Node.js (v20 by default) with npm Install MongoDB** - Installs MongoDB (v7.0 by default) with Compass & Shell Install Git & GitHub CLI** - Installs Git and GitHub CLI Install Development Tools** - Installs VS Code, Docker, Docker Compose, Postman, Nginx, Redis, and PostgreSQL Create Dev User** - Creates a development user account Install Additional Tools** - Installs package managers (npm, Yarn, pnpm), global npm packages, deployment tools, build tools, and security tools Final Configuration** - Configures firewall, SSH keys, and environment variables template Setup Complete** - Marks the completion of the setup process How to Use Import the workflow into n8n Configure parameters in the Set Parameters node (server_host, server_user, server_password, setup_type, node_version, mongodb_version, username, user_password) Run the workflow SSH into the server as the new developer user Start building MERN applications Requirements Linux server access with SSH Administrative privileges (root access) Customizing This Workflow Adjust the setup_type parameter to customize the installation scope Modify node_version or mongodb_version to use different versions Change the username and user_password for the developer account

This workflow automates the process of discovering and extracting APIs from various services, followed by generating custom schemas. It works in three distinct stages: research, extraction, and schema generation, with each stage tracking progress in a Google Sheet. 🙏 Jim Le deserves major kudos for helping to build this sophisticated three-stage workflow that cleverly automates API documentation processing using a smart combination of web scraping, vector search, and LLM technologies. How it works Stage 1 - Research: Fetches pending services from a Google Sheet Uses Google search to find API documentation Employs Apify for web scraping to filter relevant pages Stores webpage contents and metadata in Qdrant (vector database) Updates progress status in Google Sheet (pending, ok, or error) Stage 2 - Extraction: Processes services that completed research successfully Queries vector store to identify products and offerings Further queries for relevant API documentation Uses Gemini (LLM) to extract API operations Records extracted operations in Google Sheet Updates progress status (pending, ok, or error) Stage 3 - Generation: Takes services with successful extraction Retrieves all API operations from the database Combines and groups operations into a custom schema Uploads final schema to Google Drive Updates final status in sheet with file location Ideal for: Development teams needing to catalog multiple APIs API documentation initiatives Creating standardized API schema collections Automating API discovery and documentation Accounts required: Google account (for Sheets and Drive access) Apify account (for web scraping) Qdrant database Gemini API access Set up instructions: Prepare your Google Sheets document with the services information. Here's an example of a Google Sheet – you can copy it and change or remove the values under the columns. Also, make sure to update Google Sheets nodes with the correct Google Sheet ID. Configure Google Sheets OAuth2 credentials, required third-party services (Apify, Qdrant) and Gemini. Ensure proper permissions for Google Drive access.

Overview This n8n templates helps you to authomatically search Linkeding jobs. It uses AI (Gemini or OpenAPI) to match your resume with each job description and write a sample cover letter for each job and update the job google sheet. You can receive daily matched linkedin job alerts by telegram. Prerequisites AI API Key from one model like: Google Gemini OpenAI Telegram Bot Token - Create via @BotFather Google Sheets - OAuth2 credentials Google Drive - OAuth2 credentials Setup 1. Upload your resume Upload your CV in PDF format in google drive and configure google drive node to read your resume from list of google drive files. You need to configure Google Drive OAuth2 and grant access to your drive before that. You can find useful infomration about how to configure Googel OAuth2 API key in n8n documents. 2. Create Google sheet You need to create a google sheet document consist of two sheets, one sheet for define job filter criteria and second sheet to store job search result. You can download this Google Sheet Template and copy in your personal space. Then you can add your job filter in Google sheet. You can search job by keywords, location, remote type, job type and easy apply. You need to configure Google Sheet OAuth2 and grant access to your drive before that. 3. Conifgure Telegram Bot You need to create a new Telegram Bot in @BotFather and insert API Key in Telegram node and you need to TELEGRAM_CHAT_ID to your telegram ID.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Generate Veo3 Videos via AI/ML API, Save to Google Drive and Upload to YouTube Transform your content creation process by automating video generation with AI, publishing to YouTube, and logging results in Google Sheets. This workflow is ideal for content creators, marketers, and social media managers looking to streamline video production and distribution. How it works Trigger: Start the workflow manually or on a scheduled interval (e.g., every hour). Generate Video: Send a request to the AI/ML API to create video content based on predefined prompts and settings. Monitor Status: Poll the AI/ML API until the video generation is completed, with retry logic for reliability. Download & Upload: Retrieve the generated video file and upload it to your connected YouTube channel. Title Generation: Generate a YouTube title using AI to optimize for engagement. Log Results: Update a Google Sheet with video metadata and the YouTube URL for tracking and analytics. Set up steps Connect Credentials: Add OAuth2 credentials for AI/ML API, YouTube, and Google Sheets in n8n Credentials. Configure Nodes: Rename nodes for clarity (e.g., Generate Video, Upload to YouTube) and set up the HTTP Request node to use your AI/ML API credential. Sheet Preparation: Create a Google Sheet with columns for Date, Prompt, Video ID, and YouTube URL. Schedule: If using scheduling, configure the Schedule Trigger interval (e.g., every 60 minutes). Test & Deploy: Run a manual trigger, verify video generation, upload, and sheet entry, then activate the workflow for automation.

📌 HubSpot Lead Enrichment with Bright Data MCP This template enables natural-language-driven automation using Bright Data's MCP tools, triggered directly by new leads in HubSpot. It dynamically extracts and executes the right tool based on lead context—powered by AI and configurable in N8N. ❓ What Problem Does This Solve? Manual lead enrichment is slow, inconsistent, and drains valuable time. This solution automates the process using a no-code workflow that connects HubSpot, Bright Data MCP, and an AI agent—without requiring scripts or technical skills. Perfect for marketing, sales, and RevOps teams. 🧰 Prerequisites To use this template, you’ll need: A self-hosted or cloud instance of N8N A Bright Data MCP API token A valid OpenAI API key (or compatible AI model) A HubSpot account Either a Private App token or OAuth credentials for HubSpot Basic familiarity with N8N workflows ⚙️ Setup Instructions 1. Set Up Authentication in HubSpot 🔐 Option 1: Use a Private App Token (Simple Setup) Log in to your HubSpot account. Navigate to Settings → Integrations → Private Apps. Create a new Private App with the following scopes: crm.objects.contacts.read crm.objects.contacts.write crm.schemas.contacts.read crm.objects.companies.read (optional) Copy the Access Token. In N8N, create a credential for HubSpot App Token and paste the app token in the field. Go back to Hubspot Private App settings to setup a webhook. Copy the url in your workflow's Webhook node and paste it here. 🔁 Option 2: Use OAuth (Advanced + Secure) In HubSpot, go to Settings → Integrations → Apps → Create App. Set your Redirect URL to match your N8N OAuth2 redirect path. Choose scopes like: crm.objects.companies.read crm.objects.contacts.read crm.objects.deals.read crm.schemas.companies.read crm.schemas.contacts.read crm.schemas.deals.read crm.objects.contacts.write (conditionally required) Note the Client ID and Client Secret. Copy the App ID and the developer API key In N8N, create a credential for HubSpot Developer API and paste those info from previous step. Attach these credentials to the HubSpot node in N8N. 2. 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 API username and password string separated by colon (optional) 3. 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_AUTH=optional_browser_auth` 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_ZONE=optional_browser_zone_name` 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 4. Connect Google Sheets to N8N Ensure your Google Sheet: Contains columns like row_id, first_name, last_name, email, and status. Is shared with your N8N service account (or connected via OAuth) In N8N: Add a Google Sheets Trigger node Set it to watch for new rows in your lead sheet 5. Import and Configure the N8N Workflow Import the provided JSON workflow into N8N Update nodes with your credentials: Hubspot: Add your API key or connect it via OAuth. Google Sheets Trigger: Link to your actual sheet OpenAI Node: Add your API key Bright Data Tool Execution: Add Bright Data token and SSE URL 🔄 How It Works New contact in Hubspot or a new row is added to the Google Sheet N8N triggers the workflow AI agent classifies the task (e.g., “Find LinkedIn”, “Get company info”) The relevant MCP tool is called Results are appended back to the sheet or routed to another destination Rerun the specific record by specifying status "needs more enrichment", or leaving it blank. 🧩 Use Cases B2B Lead Enrichment** – Add missing fields (title, domain, social profiles) Email Intelligence** – Validate and enrich based on email Market Research** – Pull company or contact data on demand CRM Auto-fill** – Push enriched leads to tools like HubSpot or Salesforce 🛠️ Customization Prompt Tuning** – Adjust how the AI interprets input data Column Mapping** – Customize which fields to pull from the sheet Tool Logic** – Add retries, fallback tools, or confidence-based routing Destination Output** – Integrate with CRMs, Slack, or webhook endpoints ✅ Summary This template turns a Google Sheet into an AI-powered lead enrichment engine. By combining Bright Data’s tools with a natural language AI agent, your team can automate repetitive tasks and scale lead ops—without writing code. Just add a row, and let the workflow do the rest.

This n8n workflow automates lead extraction from Google Maps, enriches data with AI, and stores results for cold outreach. It uses the Bright Data community node and Bright Data MCP for scraping and AI message generation. How it works Form Submission User provides Google Maps starting location, keyword and country. Bright Data Scraping Bright Data community node triggers a Maps scraping job, monitors progress, and downloads results. AI Message Generation Uses Bright Data MCP with LLMs to create a personalized cold call script and talking points for each lead. Database Storage Enriched leads and scripts are upserted to Supabase. How to use Set up all the credentials, create your Postgres table and submit the form. The rest happens automatically. Requirements LLM account (OpenAI, Gemini…) for API usage. Bright Data account for API and MCP usage. Supabase account (or other Postgres database) to store information.