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What is MCP and why does it exist when we already have APIs? In this video, MCP (Model Context Protocol) explained from the ground up — what it actually is, the problem it solves, and how MCP works under the hood.
We start with a real scenario — building an AI-powered customer support chatbot — and walk through exactly where the traditional API approach falls apart. Then we look at MCP vs API in detail, so you understand what genuinely changes for you as an engineer and what doesn't. Finally, we go step by step through the architecture, so you can follow a single user question all the way through the system.
In this MCP tutorial, you'll learn:
▪️ What is MCP, in plain language, without the buzzwords
▪️ MCP vs API — why HTTP APIs alone aren't a good fit for LLMs
▪️ What an MCP Server actually does to an API response, and why that matters
▪️ What MCP does NOT do (an important limitation most explanations skip)
▪️ Dynamic tool discovery vs. hardcoded API endpoints
▪️ How stateful sessions make multi-step workflows possible
▪️ Where your API keys and secrets live — and why the LLM never sees them
▪️ How to swap AI models without rewriting a single integration
▪️ How MCP works technically: Host, MCP Client and MCP Server
▪️ The 6 steps of a complete MCP request, from user question to final answer
▪️ Who builds MCP Se
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2026/09/02
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