FREE n8n + MCP with Docker Smart Agentic Automation in no time!

Unlock the power of AI automation! This tutorial walks you through installing n8n for free using Docker and supercharging your AI agents with the Model Context Protocol (mCP).

Learn the basics of Docker as a container system for running applications in isolated environments, simplifying setup. Follow along as we demonstrate installing Docker Desktop, pulling the n8n image, and configuring your n8n container, including ports, data storage, and environment variables for AI integration.

We'll guide you through creating your n8n account, starting a new workflow, and installing mCP servers within n8n. This allows your AI agents to connect with external tools and data sources like never before.

See how to add an AI agent node, configure it with models like OpenAI's chat model, and integrate memory. Discover the power of mCP servers (using Brave search as an example) to equip your agents with tools for complex tasks. We'll show you exactly how to configure the agent to use these tools and process user input effectively, interacting with the mCP server to deliver insightful, human-readable results.

By the end, you'll understand how AI agents, enhanced with mCP servers, can efficiently tackle complex tasks.

00:00 Intro
00:52 Download and install Docker Desktop
01:13 Pull and run the n8n image
04:34 Install the n8n-tavily community node
05:17 Create a workflow using the AI Agent
11:50 Bug Fixes and Finalising Agent Workflow
17:00 Closing Thoughts