Trigger intelligent tasks with an AI agent
Workflow Description
An automated workflow that receives external triggers and processes data through an AI agent powered by OpenAI models, with vector storage in Supabase for fast retrieval and immediate responses.
How it works
- 1.Receive the trigger from an MCP channel and prepare incoming data
- 2.Process the request through an AI agent using OpenAI models
- 3.Search the vector store in Supabase to retrieve relevant context
- 4.Execute the appropriate action and log the result
Use cases
- Automatically answer customer inquiries using a knowledge base
- Process support requests and prioritize them automatically
- Analyze incoming data and make automated decisions based on context
Requirements
- Valid API key from OpenAI
- Supabase database set up with prepared tables
- MCP channel configured to receive external triggers
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (27)
MCP_SUPABASE
Mcp Trigger
RAG
Vector Store Supabase
Embeddings OpenAI
OpenAI
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
DELETE_ROW_INSCRICOES_CURSOS
Set
GET_ROW_AGENT_MESSAGE
Set
CREATE_ROW_AGENT_MESSAGE
Set
DELETE_ROW_AGENT_MESSAGE
Set
UPDATE_ROW_AGENT_MESSAGE
Set
GET_MANY_ROW_AGENT_MESSAGE
Set
CREATE_ROW_AGENT_TASKS
Set
GET_ROW_AGENT_TASKS
Set
DELETE_ROW_AGENT_TASKS
Set
UPDATE_ROW_AGENT_TASKS
Set
GET_MANY_ROW_AGENT_TASKS
Set
CREATE_ROW_AGENT_STATUS
Set
GET_ROW_AGENT_STATUS
Set
DELETE_ROW_AGENT_STATUS
Set
UPDATE_ROW_AGENT_STATUS
Set
GET_MANY_ROW_AGENT_STATUS
Set
CREATE_ROW_AGENT_KNOWLEDGE
Set
GET_ROW_AGENT_KNOWLEDGE
Set
UPDATE_ROW_INSCRICOES_AGENT_KNOWLEDGE
Set
GET_MANY_ROW_AGENT_KNOWLEDGE
Set