AI Agent to chat with Airtable and analyze data
n8n template #2700Summary
Use templateVideo Guide I prepared a detailed guide that shows the entire process of building an AI agent that integrates with Airtable data in n8n. This template covers everything from data preparation to advanced configurations. Youtube Link Who is this for? This workflow is designed for developers, data analysts, and business owners who want to create an AI-powered conversational agent integrated with Airtable datasets. It is particularly useful for users looking to enhance data interaction through chat interfaces. What problem does this workflow solve? Engaging with data stored in Airtable often requires manual navigation and time-consuming searches. This workflow allows users to interact conversati
How to set it up
- Open template #2700 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
- Create 2 credentials under Credentials → Add credential: Airtable, OpenAI Chat Model. Then open each of those nodes and pick the credential.
- Check the model in the AI Agent node. The template may point at a model your account can't use; swap it for one you have access to.
- Click Execute workflow and step through each node's output to confirm the data looks right.
- Toggle the workflow to Active so its trigger runs on its own.
Hand off to your agent
Prompt
Help me set up the n8n workflow "AI Agent to chat with Airtable and analyze data" (https://n8n.io/workflows/2700). It uses: Airtable, HTTP Request, AI Agent, OpenAI Chat Model, Simple Memory, Code Tool, Call n8n Workflow Tool. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.
Paste into Claude Code and it will do the rest.
Apps and nodes
Questions
Yes. Mark Shcherbakov published it free on n8n.io as a verified creator, and it has 13K views. It runs on n8n Cloud or a self-hosted n8n instance.
Airtable, OpenAI Chat Model. The other 5 nodes are built into n8n.
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