Model Context Protocol (MCP) explained (with code examples)

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This crash course will teach you the essentials of the Model Context Protocol (MCP), a standardized interface developed by Anthropic that's transforming how AI agents interact with external resources.

🧠 Learn why LLMs struggle with certain tasks due to their stochastic nature
🔧 Discover how tools overcome these fundamental limitations
🔄 See practical examples using arithmetic operations and Google Docs integration
🌐 Understand why MCP is becoming the "HTTPS of AI agents"
🔑 Explore how MCP shifts responsibility from developers to service providers
⚙️ Find out how this creates more reliable and maintainable AI systems
Perfect for developers and AI enthusiasts looking to understand the infrastructure behind the next generation of AI agents.

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Timestamps:
00:00 - Coming up ...
00:47 - TL;DR
02:00 - Level 0: Bare LLMs
05:35 - Level 1: LLMs + Tools
08:20 - Level 2: LLMs + Tools + APIs
12:02 - Level 3: LLMs + MCP
14:54 - Why does MCP matter?
17:47 - Build an AI agent with LiveKit

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