MCP Explained: How AI Actually Connects to Your Tools and Data (Part 1)

Your AI can chat, but how does it actually DO things, like check the weather, read your files, or query a database? The answer is MCP, the Model Context Protocol. In this video, we explain MCP from scratch, with diagrams and one simple restaurant analogy that carries you from start to finish. 📌 This is PART 1 of 2: ▶ Part 1 (this video): MCP in detail, covering the concepts, the diagrams, and the security risks ▶ Part 2: A complete hands-on implementation, where we build an MCP server on Windows with all the code, line by line → [coming soon..] No prior knowledge needed. We build everything up slowly. 🔹 What you'll learn: What MCP is, and the problem it solves The three roles: Host, Client, and Server (the customer, the waiter, and the kitchen) How they talk to each other (JSON-RPC, and why you don't write it yourself) The three things an MCP server can offer: Tools, Resources, and Prompts What's inside a tool: name, description, and input schema A full walkthrough of one request: "Will I need an umbrella in Delhi?" What MCP is NOT (three common misunderstandings) The 7 steps behind every MCP request The method names you'll see everywhere (tools/list, tools/call, resource/read and more) Why hosts cache the tool list instead of asking every time The "one client, one server" rule, and why it exists A real multi-server architecture 5 security risks: prompt injection, tool poisoning, excessive permissions, confused deputy, and OAuth/token attacks, each with an example and a defense ⏱️ Timestamps: 00:00 Intro 01:13 What is MCP? 02:38 The Three Roles: Host, Client, Server 04:34 How They Talk: JSON-RPC 06:00 The Full Picture 06:47 Three Things a Server Can Expose 08:01 Walkthrough: "I Want a List of Tools" 11:04 A Tool's Anatomy 12:06 Full Example: The Umbrella Question 13:00 Resources & Prompts, in Practice 14:11 What MCP is NOT 15:08 How a Request Actually Works: The 7 Steps 16:10 The Method Names Cheat Sheet 17:20 Why Hosts Cache Instead of Asking Every Time 18:05 One Client, One Server 19:18 A Real Multi-Server Architecture 20:14 MCP Security: Why This Matters 20:44 Risk 1: Prompt Injection 22:00 Risk 2: Tool Poisoning 22:35 Risk 3 & 4: Excessive Permissions & Confused Deputy 23:42 Risk 5: OAuth & Token Attacks 24:28 Recap & Outro 📚 Earlier videos in this series: ▶ LLM Foundations:    • How LLMs Actually Work — Tokens, Embedding...   ▶ RAG Explained:    • How RAG Actually Works: The Full Pipeline,...   ▶ AI Agents Explained:    • AI Agents Explained: ReAct, Memory, MCP & ...   📋 A glossary of every term in this video is in the pinned comment. If this made MCP click for you, subscribe to LogicAndLoops. Part 2 is where we turn all of this into working code. #MCP #ModelContextProtocol #AI #AIAgents #LLM #Claude