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Learn how Model Context Protocol (MCP) enhances AI agents by providing them with better context and tools in this 16-minute tutorial designed for non-technical audiences. Discover the fundamentals of MCP and understand why context is crucial for AI agent performance through a live demonstration that shows the technology in action. Explore how tools are added to Large Language Models and examine the MCP server layer that facilitates communication between AI agents and external systems. Follow along with practical examples that illustrate how MCP works in real-world scenarios, including hands-on demonstrations using n8n automation platform. Get step-by-step guidance on setting up MCP for your own AI automation projects, with access to community resources and GitHub repositories for MCP servers to help you implement these concepts in your business workflows.
