What Is MCP? Explained Visually — How AI Connects to Tools

What really happens when an AI assistant uses GitHub, a database, files, or other external systems? In this video, Model Context Protocol (MCP) is explained visually from first principles. We follow one request end-to-end and show: why LLMs need external tools and data how AI applications worked before MCP why repeated custom integrations become a problem what MCP clients and MCP servers actually do how tools are discovered and described how the LLM selects a tool and its arguments how the AI application executes the MCP call how the MCP server calls the real backend API how the result returns to the LLM for reasoning One key idea: The LLM does not normally call the MCP server directly. The LLM selects the tool. The AI application executes the decision through its MCP client. Designed for developers, architects, technical leaders, students, beginners, and anyone who wants to understand AI systems visually. If this helped you understand MCP, leave a comment with what you want explained next, and subscribe to Visual AI Systems. #MCP #ModelContextProtocol #AI #LLM #AIAgents #AIArchitecture #GenerativeAI #SystemDesign