Block 1 - Create Row
- Type / Role
- n8n-nodes-base.supabaseTool - supabaseTool
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
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...
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
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Amanda Benks.
Original n8n.io sourceThis 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.
✅ Works on n8n Cloud and Self-Hosted
🧠 Built with GPT-4o + LangChain + Supabase + MCP Trigger
💡 No code or SQL required
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.
| Workflow | MCP Supabase agent – manage your database with AI |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | Engineering, AI Chatbot |
| Author | Amanda Benks |
| Published | 21 Apr 2025 |
Use the JSON export at /data/workflows/3641/3641.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
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...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.