Most-used Supabasetool workflows
- Unified Business Orchestrator with Google Gemini, Notion, and Telegram for Ceos (93 nodes)
- Bread-meat-delivery — n8n Supabasetool workflow (91 nodes)
- Alfred (funcional) (83 nodes)
- Automated Us Stock Portfolio Analysis with Telegram, Perplexity AI & PDF Reports — n8n Supabasetool workflow (62 nodes)
- Whatsapp-bot-flow (60 nodes)
- Agent: Iptv (instance_e2165d22_1762376395079) — n8n Supabasetool workflow (56 nodes)
- Youtube Agent (56 nodes)
- AI Sales Development Representative for Whatsapp Leads — n8n Supabasetool workflow (53 nodes)
- Agente_atendimento_e_commerce (52 nodes)
- Agente_rag — n8n Supabasetool workflow (50 nodes)
Are you drowning in daily operational chaos, desperately trying to juggle sales, projects, content, and client communication? Imagine an AI brain that handles it all, freeing you to lead your business
Bread-Meat-Delivery. Uses lmChatOpenAi, agent, httpRequest, redis. Webhook trigger; 91 nodes.
Alfred (funcional). Uses gmailTool, googleCalendarTool, gmail, embeddingsOpenAi. Event-driven trigger; 83 nodes.
System Architecture Two integrated N8N workflows providing automated US stock portfolio management through Telegram:
Whatsapp-Bot-Flow. Uses whatsappTrigger, agent, supabase, whatsapp. Event-driven trigger; 60 nodes.
Agent: IPTV (instance_e2165d22_1762376395079). Uses openAi, redis, supabase, httpRequest. Webhook trigger; 56 nodes.
YouTube Agent. Uses supabase, agent, lmChatAnthropic, outputParserStructured. Webhook trigger; 56 nodes.
AI Sales Development Representative for WhatsApp Leads. Uses supabase, redis, agent, lmChatOpenAi. Webhook trigger; 53 nodes.
Agente_Atendimento_E_commerce. Uses baserow, redis, openAi, httpRequest. Webhook trigger; 52 nodes.
Agente_RAG. Uses supabase, embeddingsOpenAi, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Chat trigger; 50 nodes.
This workflow automates dental appointment management through a phone-based assistant. It listens for requests like booking, rescheduling, canceling, checking insurance, looking up appointments, and f
'Elena AI' is a powerful n8n workflow that transforms your automation platform into a full-fledged, multi-agent AI hub. 🤖✨ By combining Redis state management with specialized “tool” sub-workflows, yo
This workflow is designed for organizations or services managing appointments, such as interview scheduling, class enrollments, or client meetings. It’s ideal for users who want to automate appointmen
Telegram dummy_client. Uses telegramTrigger, agent, lmChatOpenAi, telegram. Event-driven trigger; 48 nodes.
• Multi-Layer Message Analysis - Every customer interaction passes through three specialized AI classifiers: privacy detection (identifies sensitive data and security requirements), intent recognition
kisisel asistan. Uses toolWorkflow, toolHttpRequest, toolCalculator, toolThink. Scheduled trigger; 43 nodes.
Audio. Uses n8n-nodes-evolution-api, openAi, agent, memoryRedisChat. Webhook trigger; 41 nodes.
Analysis Anna. Uses httpRequest, memoryBufferWindow, telegram, outputParserStructured. Event-driven trigger; 38 nodes.
My workflow 5. Uses informationExtractor, lmChatAzureOpenAi, outputParserStructured, mcpClientTool. Webhook trigger; 36 nodes.
This n8n workflow transforms your Telegram into a professional interior design studio powered by artificial intelligence. Send a photo of furniture or a room space, and watch as the system intelligent
Pitch Paul. Uses lmChatOpenRouter, telegram, outputParserStructured, supabaseTool. Event-driven trigger; 33 nodes.
optimize-added-expenses. Uses telegramTrigger, agent, telegram, lmChatOpenAi. Event-driven trigger; 30 nodes.
This workflow introduces a conversational AI Cost Estimation Chatbot with built-in OCR document analysis and interactive form guidance. It helps users and teams handle pricing, measurement, and produc
optimize-added-expenses. Uses telegramTrigger, agent, telegram, lmChatOpenAi. Event-driven trigger; 28 nodes.
MCP_SUPABASE_AGENT. Uses mcpTrigger, vectorStoreSupabase, embeddingsOpenAi, stickyNote. Event-driven trigger; 27 nodes.
Version: 1.0.0 n8n Version: 1.88.0+ Author: Koresolucoes License: MIT
This AI-powered customer support automation built in n8n handles your e-commerce queries instantly — from order tracking to personalized product recommendations and support ticket management. Features
This is a lightweight n8n workflow that accepts chat input and uploaded receipts, runs OCR, stores parsed results in Supabase, and uses an AI agent to extract structured travel expense data and comput
Main Workflow-Image. Uses agent, httpRequest, supabase, memoryBufferWindow. Webhook trigger; 24 nodes.
Controle Nutricional - Nutri AI. Uses lmChatOpenAi, supabaseTool, agent, httpRequest. Webhook trigger; 22 nodes.
RestaurantBot Pro is a complete AI-powered restaurant ordering system that transforms your WhatsApp into a smart ordering platform. This intelligent automation handles customer interactions in any lan
ai_chat_agent. Uses agent, lmChatOpenAi, chat, chatTrigger. Chat trigger; 19 nodes.
Who is this for? Businesses, customer service teams, content creators, and organizations who want to provide intelligent voice-based interactions through Telegram. Perfect for accessibility-focused se
BIG-AGENT-COMPLETE. Uses agent, lmChatAnthropic, supabaseTool. Webhook trigger; 17 nodes.
Academico_hub. Uses telegramTrigger, agent, lmChatOpenAi, telegram. Event-driven trigger; 17 nodes.
This workflow was built with love to help you manage your Supabase database using natural language, powered by the MCP (Multi-Channel Protocol) AI Agent on n8n.
This workflow is for developers, researchers, founders, and data analysts who want a historical dataset of GitHub Trending repositories without manual scraping. It’s ideal for building dashboards, new
[3-3] MCP Trigger Server(Claude). Uses mcpTrigger, googleCalendarTool, toolCalculator, httpRequestTool. Event-driven trigger; 10 nodes.
This n8n workflow automates the generation and delivery of a daily order summary via email. It leverages an AI Agent to fetch and summarize e-commerce order data from the last 24 hours stored in Supab
This workflow creates an intelligent chatbot that uses your Supabase database as a knowledge base. The AI agent can automatically query your Supabase tables to provide accurate, contextual responses b
Luna. Uses agent, lmChatGoogleGemini, memoryBufferWindow, supabaseTool. Webhook trigger; 7 nodes.
41 of 41 workflows in this view · Browse all →
FAQ
How many n8n Supabasetool workflows are in the catalog?
41 n8n workflows in AutomationFlows currently use the Supabasetool integration — triggers, actions, or both.
How do I connect Supabasetool in n8n?
After importing the workflow JSON, n8n will prompt for Supabasetool credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.
Can I combine these with other integrations?
Yes — most Supabasetool workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.