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MCP_SUPABASE_AGENT

27 nodes · mcp, vectorStoreSupabase, embeddingsOpenAi, supabaseTool

Engine
n8n
Nodes
27
Trigger
scheduled/triggered
Source file
1947_Stickynote_Supabasetool_Automation_Triggered.json

Workflow flow

IntegrationsMCPVectorStoreSupabaseEmbeddingsOpenAiSupabaseTool@n8n/n8n-nodes-langchain.mcp@n8n/n8n-nodes-langchain.vectorStoreSupabase@n8n/n8n-nodes-langchain.embeddingsOpenAi
100%
TRIGGER

MCP_SUPABASE

@n8n/n8n-nodes-langchain.mcp

RAG

@n8n/n8n-nodes-langchain.vectorStoreSupabase

Embeddings OpenAI

@n8n/n8n-nodes-langchain.embeddingsOpenAi

DELETE_ROW_INSCRICOES_CURSOS

SupabaseTool

GET_ROW_AGENT_MESSAGE

SupabaseTool

CREATE_ROW_AGENT_MESSAGE

SupabaseTool

DELETE_ROW_AGENT_MESSAGE

SupabaseTool

UPDATE_ROW_AGENT_MESSAGE

SupabaseTool

GET_MANY_ROW_AGENT_MESSAGE

SupabaseTool

CREATE_ROW_AGENT_TASKS

SupabaseTool

GET_ROW_AGENT_TASKS

SupabaseTool

DELETE_ROW_AGENT_TASKS

SupabaseTool

UPDATE_ROW_AGENT_TASKS

SupabaseTool

GET_MANY_ROW_AGENT_TASKS

SupabaseTool

CREATE_ROW_AGENT_STATUS

SupabaseTool

GET_ROW_AGENT_STATUS

SupabaseTool

DELETE_ROW_AGENT_STATUS

SupabaseTool

UPDATE_ROW_AGENT_STATUS

SupabaseTool

GET_MANY_ROW_AGENT_STATUS

SupabaseTool

CREATE_ROW_AGENT_KNOWLEDGE

SupabaseTool

GET_ROW_AGENT_KNOWLEDGE

SupabaseTool

UPDATE_ROW_INSCRICOES_AGENT_KNOWLEDGE

SupabaseTool

GET_MANY_ROW_AGENT_KNOWLEDGE

SupabaseTool

23 steps · flows top to bottom, branches left to right

Browse by integration

mcpvectorStoreSupabaseembeddingsOpenAisupabaseTool
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

MCP_SUPABASE_AGENT is a free n8n workflow on OpenRuna — 27 nodes connecting mcp, vectorStoreSupabase, embeddingsOpenAi, supabaseTool. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"MCP_SUPABASE_AGENT" automates a mcp-to-vectorStoreSupabase flow in n8n across 27 nodes. 27 nodes · mcp, vectorStoreSupabase, embeddingsOpenAi, supabaseTool A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Benchmark it against your current mcp integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 27-node flow from scratch.
  • Share it with your team as a documented reference for scheduled/triggered automations in the mcp stack.
  • Study how data moves from mcp to vectorStoreSupabase before building your own variant.

Example output

Imported into n8n, "MCP_SUPABASE_AGENT" exposes 27 configured nodes. Trigger type: scheduled/triggered. Integrations: mcp, vectorStoreSupabase, embeddingsOpenAi, supabaseTool. Open each node after import to map credentials to your own mcp and vectorStoreSupabase accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "MCP_SUPABASE_AGENT" into Claude and ask it to explain each of the 27 nodes. Claude is good at suggesting credential mappings for mcp, vectorStoreSupabase, embeddingsOpenAi, supabaseTool, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "MCP_SUPABASE_AGENT" to your accounts — which mcp, vectorStoreSupabase, embeddingsOpenAi, supabaseTool credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 27 nodes.

Frequently asked questions

How do I import "MCP_SUPABASE_AGENT" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "MCP_SUPABASE_AGENT" use?
It uses: mcp, vectorStoreSupabase, embeddingsOpenAi, supabaseTool. The flow diagram above shows how each service connects across the 27 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own mcp and vectorStoreSupabase credentials in n8n after import.
What trigger type does "MCP_SUPABASE_AGENT" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "MCP_SUPABASE_AGENT" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for mcp, vectorStoreSupabase, embeddingsOpenAi, supabaseTool.

Related resources