Скачать или смотреть MCP Explained: An Introduction to the Model Context Protocol

The Model Context Protocol (MCP) is quickly becoming one of the most important pieces of the modern AI stack.

In this video, we break down exactly what it is, why it exists, and how it works.

You’ll learn:

⏺ Why MCP was created and how it solves the N×M integration problem
⏺ The evolution of AI from LLMs to agents and why APIs weren’t enough
⏺ MCP’s Client–Server architecture
⏺ JSON-RPC messaging, transports (stdio + streamable HTTP)
⏺ Overview of the MCP ecosystem: SDKs, clients, servers, and the MCP Inspector
⏺ The future: standardization efforts, industry adoption, and where MCP fits in the AI stack

Whether you’re building AI agents, working on developer tools, or just trying to understand where the industry is moving, this video gives you a clear, practical introduction to MCP and why it matters.

---- Content of the video
0:00 Intro
1:11 MCP in the AI Timeline: From Models to Agentic Systems
3:45 The N×M Integration Problem
4:38 MCP Client-Server Architecture
5:11 JSON-RPC & Transport Layer
7:08 MCP Ecosystem (Clients, Servers, SDKs, and the MCP Inspector)
8:35 Recap MCP concepts
09:10 Why MCP Matters for the Future of AI