Model Context Protocol (MCP) Explained with Code Examples

This 18-minute tutorial from AssemblyAI explains the Model Context Protocol (MCP), a standardized interface developed by Anthropic that's revolutionizing how AI agents interact with external resources. Learn why large language models struggle with certain tasks due to their stochastic nature, how tools overcome these limitations, and see practical examples using arithmetic operations and Google Docs integration. Discover why MCP is becoming the "HTTPS of AI agents" and how it shifts responsibility from developers to service providers, creating more reliable AI systems. The video progresses through different levels of AI capability: from bare LLMs, to LLMs with tools, to LLMs with tools and APIs, and finally to LLMs with MCP. Perfect for developers and AI enthusiasts wanting to understand the infrastructure behind next-generation AI agents, with code examples included.