Query n8n credentials with AI SQL agent

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Important notice

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

1. Workflow Overview

This n8n workflow is a fun way to query and search over your credentials on your n8n instance. Good to know Your credentials should remain safe as this workflow does not decrypt or use any decrypte...

Best for

DevOps automation workflows
AI RAG automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.set, n8n-nodes-base.stickynote, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.toolcode, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Query n8n credentials with AI SQL agent
Workflow name: Query n8n credentials with AI SQL agent

This n8n workflow is a fun way to query and search over your credentials on your n8n instance.

Good to know Your credentials should remain safe as this workflow does not decrypt or use any decrypted data.

Example Usage

"Which workflows are using Slack and Google Calendar?"
"Which workflows have AI in their name but are not using openAI?"

How it works

Using the n8n API, it fetches all workflow data on the instance. Workflow data contains references to credentials used so this will be extracted.
With some necessary reformatting, the workflows and their credentials metadata are stored to a SQLite database.
Next, an AI agent is used with a custom SQL tool that reads the SQLite database created in the previous step.
The AI agent is instructed to perform SQL queries against our workflow credential table when asked about credentials by the user.

Requirements

You'll need an n8n API key. Please note that only workflows will be scoped to your API key.

Customising the workflow

Add extra table fields to the SQLite database to answer even more complex queries such as:

workflow status to differentiate between active and inactive 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 - When clicking "Test workflow"

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

Block 2 - Map Workflows & Credentials

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.3

Block 3 - Sticky Note

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

Block 4 - Save to Database

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 5 - Chat Trigger

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

Block 6 - Query Workflow Credentials Database

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

Block 7 - OpenAI Chat Model

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

Block 8 - Window Buffer Memory

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

Block 9 - Sticky Note1

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

Block 10 - Sticky Note2

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

Block 11 - Workflow Credentials Helper Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.6

Block 12 - Sticky Note4

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

Block 13 - n8n

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

3. Summary Table

Workflow	Query n8n credentials with AI SQL agent
Complexity	intermediate
Nodes	13
Categories	DevOps, AI RAG
Author	Jimleuk
Published	15 Jul 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2347/2347.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 DevOps workflows AI RAG workflows

Frequently asked questions

What does Query n8n credentials with AI SQL agent 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 DevOps, AI RAG use case.

Jimleuk

100 workflows

Nodes

n8n-nodes-base.manualtrigger n8n-nodes-base.set n8n-nodes-base.stickynote n8n-nodes-base.code @n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.toolcode @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.memorybufferwindow

Complexity

intermediate

Published 15 Jul 2024

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/2347/2347.json

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Query n8n credentials with AI SQL agent

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Example Usage

How it works

Requirements

Customising the workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When clicking "Test workflow"

Block 2 - Map Workflows & Credentials

Block 3 - Sticky Note

Block 4 - Save to Database

Block 5 - Chat Trigger

Block 6 - Query Workflow Credentials Database

Block 7 - OpenAI Chat Model

Block 8 - Window Buffer Memory

Block 9 - Sticky Note1

Block 10 - Sticky Note2

Block 11 - Workflow Credentials Helper Agent

Block 12 - Sticky Note4

Block 13 - n8n

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