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MCP Supabase agent – manage your database with AI

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MCP Supabase agent – manage your database with AI preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Hi, I’m Amanda 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. With just a messa...

Best for

  • Engineering automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.supabasetool, @n8n/n8n-nodes-langchain.mcptrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.mcpclienttool, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Amanda Benks.

Original n8n.io source

1.1 Workflow description

Title
MCP Supabase agent – manage your database with AI
Workflow name
MCP Supabase agent – manage your database with AI

Hi, I’m Amanda 🌷

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.

With just a message like “update the status to active where city is New York”, your agent will know exactly what to do — safely, step by step, and always asking for confirmation before deleting anything.

It’s ideal for developers who want a smart assistant to create, update, delete or search database records without writing SQL or opening Supabase.


What this workflow does

  • Receives messages through a chat interface or webhook
  • Translates them into actions using GPT-4o (via LangChain Agent)
  • Interacts with Supabase using a custom MCP tool
  • Supports create, update, delete, search (single or all rows)
  • Handles confirmations, validations, and missing data checks

Setup (quick and easy 💫)

  1. Connect your Supabase credentials
  2. Adjust your table and field names
  3. Link the MCP webhook to your AI frontend (Typebot, WhatsApp, etc.)
  4. Customize the system message to reflect your tone of voice
  5. Start chatting — your agent is ready to assist!

✅ Works on n8n Cloud and Self-Hosted
🧠 Built with GPT-4o + LangChain + Supabase + MCP Trigger
💡 No code or SQL required


Want it tailored to your project?

❤️ Buy Workflows: https://iloveflows.gumroad.com
💬 Hire My Services: +5517991557874 (WhatsApp)

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Create Row

Type / Role
n8n-nodes-base.supabaseTool - supabaseTool
Config choices
Version 1

Block 2 - Delete Row

Type / Role
n8n-nodes-base.supabaseTool - supabaseTool
Config choices
Version 1

Block 3 - Search Single Line

Type / Role
n8n-nodes-base.supabaseTool - supabaseTool
Config choices
Version 1

Block 4 - Search All Lines

Type / Role
n8n-nodes-base.supabaseTool - supabaseTool
Config choices
Version 1

Block 5 - Update Line

Type / Role
n8n-nodes-base.supabaseTool - supabaseTool
Config choices
Version 1

Block 6 - MCP Server Supabase

Type / Role
@n8n/n8n-nodes-langchain.mcpTrigger - mcpTrigger
Config choices
Version 1

Block 7 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.8

Block 8 - When chat message received

Type / Role
@n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices
Version 1.1

Block 9 - Model Chat

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 10 - Simple Memory

Type / Role
@n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices
Version 1.3

Block 11 - MCP Supabase

Type / Role
@n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices
Version 1

Block 12 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow MCP Supabase agent – manage your database with AI
Complexity advanced
Nodes 16
Categories Engineering, AI Chatbot
Author Amanda Benks
Published 21 Apr 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/3641/3641.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does MCP Supabase agent – manage your database with AI do?

Hi, I’m Amanda 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. With just a messa...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Chatbot use case.