How to Integrate AI Tools into Your Workflow with n8n and MCP
integrate AI tools into your workflow with n8n and MCP. Follow our step-by-step guide to automate tasks without writing code
Want to integrate AI tools into your workflow without writing tons of code? This guide will walk you through the process step-by-step, using n8n with Claude’s MCP (Model Context Protocol) tools to create smarter automation flows. Plus, we’ll use N8N Docker for one-click deployment—making the whole process super easy. You’ll be ready to go in no time!
n8n is an open-source workflow automation tool that allows you to connect different apps like LEGO blocks and automate tasks without needing to write code. It supports over 300 popular services. Imagine form responses automatically going into Google Sheets, sending alerts to Slack, or even asking AI to help process content—n8n makes it all possible!
MCP (Model Context Protocol) is an open standard developed by Anthropic to help large language models like Claude easily connect to external tools or data sources. Think of it as a bridge that links AI to the real world. With MCP, AI doesn’t just sit back and answer questions—it can actively look up data, use tools, and help build powerful workflows.
Now let’s walk through the full process. Just follow along, and you’ll have your own n8n running , fully equipped to use MCP tools.
open a Terminal on Mac OS - OR- Open CMD on Windows
docker volume create n8n_data
docker run -it --rm --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n
Once running, you can access n8n by opening: http://localhost:5678
On first launch, n8n will ask you to create an account. Just enter your email and password.
To use MCP with n8n, you need to install a community node (like a plugin):
n8n-nodes-mcp
Now you can add an MCP node to your workflow:
Here’s where the magic happens. You define what the node should do (e.g., list available tools or run a specific one):
npx
-y
-y @openbnb/mcp-server-airbnb
You can browse available MCP tools here: awesome-mcp-servers GitHub Page
After setup, click the "Execute" button to run the workflow. You’ll see the MCP tools in action—looking up data, transforming it, or integrating with other tools.
If no existing MCP tool fits your needs, you can build your own—with AI’s help too!
Now you’ve got a fully customized AI integration pipeline.
After completing these steps, you should now be able to:
This combo makes your AI workflows incredibly powerful. If you found this helpful, feel free to share it—and let us know what cool stuff you build!
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