Build an MCP server with Airtable
Needs changesWhat this workflow does
This AI workflow has 11 nodes and runs when a chat message arrives (plus 1 other trigger). Along the way it connects MCP Client, OpenAI Chat Model and Airtable.
How it runs
Trigger: When a chat message arrives (plus 1 other trigger).
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Airtable MCP Client); memory: Simple Memory
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (7)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - MCP Client Tool
@n8n/n8n-nodes-langchain.mcpClientTool - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - MCP Server Trigger
@n8n/n8n-nodes-langchain.mcpTrigger - Airtable Tool
n8n-nodes-base.airtableTool
From the author
Who is this for? This template is designed for anyone who wants to integrate MCP with their AI Agents using Airtable. Whether you're a developer, a data analyst, or an automation enthusiast, if you're looking to leverage the power of MCP and Airtable in your…