AI multi-source agent with GPT-4, Perplexity Search, Supabase and Google Sheets

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Important notice

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

1. Workflow Overview

GPT 5 MCP Multi Source Orchestrator Overview GPT 5 MCP Multi Source Orchestrator is a next generation AI agent for n8n that blends the raw intelligence of GPT 5 with the structured power of MCP too...

Best for

Internal Wiki automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.embeddingsopenai, @n8n/n8n-nodes-langchain.rerankercohere, @n8n/n8n-nodes-langchain.mcptrigger, n8n-nodes-base.googlesheetstool, n8n-nodes-base.perplexitytool, @n8n/n8n-nodes-langchain.vectorstoresupabase, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chattrigger

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: AI multi-source agent with GPT-4, Perplexity Search, Supabase and Google Sheets
Workflow name: AI multi-source agent with GPT-4, Perplexity Search, Supabase and Google Sheets

GPT-5 MCP Multi-Source Orchestrator

Overview

GPT-5 MCP Multi-Source Orchestrator is a next-generation AI agent for n8n that blends the raw intelligence of GPT-5 with the structured power of MCP tools and multi-source data retrieval.
It unifies your live web searches, vector databases, spreadsheets, and persistent memory into one streamlined, context-aware automation system.

Key Features

GPT-5 Intelligence – Advanced reasoning, summarization, and decision-making.
MCP Tool Integration – Connects to specialized remote MCP servers for high-value operations.
Multi-Source Retrieval – Combines semantic search, real-time web lookups, and tabular data queries.
Persistent Chat Memory – Maintains context across conversations with Postgres Chat Memory.
Semantic Ranking – Uses OpenAI Embeddings + Cohere Reranker to find the most relevant results.
Live Web Search – Pulls fresh, high-accuracy answers from Perplexity.
Spreadsheet Integration – Directly interacts with Google Sheets.

Use Cases

Knowledge assistant that merges internal data with real-time information.
Research automation pulling insights from multiple sources at once.
Customer support bot enriched with live and historical data.
MCP-driven workflows that trigger complex tool actions from natural language.

Benefits

Unified AI Layer – All your data and tools in one place.
Higher Accuracy – Combines retrieval and reasoning seamlessly.
Scalable Workflows – Automates multi-step, multi-source tasks.
Always Up-to-Date – Merges stored context with real-time intelligence.

Perfect for
Automation builders, technical teams, and businesses that want GPT-5 + MCP power in a single, multi-source AI agent for smarter workflows.

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 - Embeddings OpenAI

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

Block 2 - Reranker Cohere

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

Block 3 - Knowledge MCP

Type / Role: @n8n/n8n-nodes-langchain.mcpTrigger - mcpTrigger
Config choices: Version 2

Block 4 - Tabular data

Type / Role: n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices: Version 4.6

Block 5 - Real time web search

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

Block 6 - Vectorized personal data

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

Block 7 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 8 - When chat message received

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

Block 9 - OpenAI Chat Model

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

Block 10 - Postgres Chat Memory

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

Block 11 - Sticky Note

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

Block 12 - MCP Client knowledge

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

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

3. Summary Table

Workflow	AI multi-source agent with GPT-4, Perplexity Search, Supabase and Google Sheets
Complexity	intermediate
Nodes	14
Categories	Internal Wiki, Multimodal AI
Author	Paul
Published	12 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7309/7309.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Internal Wiki workflows Multimodal AI workflows

Frequently asked questions

What does AI multi-source agent with GPT-4, Perplexity Search, Supabase and Google Sheets do?

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 Internal Wiki, Multimodal AI use case.

Paul

21 workflows

Nodes

@n8n/n8n-nodes-langchain.embeddingsopenai @n8n/n8n-nodes-langchain.rerankercohere @n8n/n8n-nodes-langchain.mcptrigger n8n-nodes-base.googlesheetstool n8n-nodes-base.perplexitytool @n8n/n8n-nodes-langchain.vectorstoresupabase @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.chattrigger

Complexity

intermediate

Published 12 Aug 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/7309/7309.json

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AI multi-source agent with GPT-4, Perplexity Search, Supabase and Google Sheets

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

GPT-5 MCP Multi-Source Orchestrator

Overview

Key Features

Use Cases

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Embeddings OpenAI

Block 2 - Reranker Cohere

Block 3 - Knowledge MCP

Block 4 - Tabular data

Block 5 - Real time web search

Block 6 - Vectorized personal data

Block 7 - AI Agent

Block 8 - When chat message received

Block 9 - OpenAI Chat Model

Block 10 - Postgres Chat Memory

Block 11 - Sticky Note

Block 12 - MCP Client knowledge

Block 13 - Sticky Note1

Block 14 - Sticky Note2

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions