May 1
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Stop building chatbots. Build AI agents that read files, query databases, send Slack messages, and browse the web — all through one protocol. This is the complete guide to the Model Context Protocol (MCP). You'll learn: → What MCP is and why it matters → The architecture: hosts, clients, servers, and tools → How JSON-RPC powers the communication layer → How to build your first MCP server from scratch → How to connect it to Claude Desktop → How to stack multiple servers for emergent behavior → Security: process isolation, scoped permissions, blast radius control → The build order: from one server to a full agent stack in 4 days → Real-world use cases shipping in production right now MCP is an open protocol by Anthropic that gives LLMs a standardized way to call tools and access data. Instead of building custom integrations for every API, you build small, focused MCP servers — and any compatible host can use them instantly. No frameworks. No bloated dependencies. Just servers and a host. The community has already built 1,000+ MCP servers for GitHub, Stripe, Figma, Slack, Google Drive, Postgres, and more. Install one and your agent gains that skill immediately. 🔗 Resources: - MCP Specification: https://modelcontextprotocol.io - MCP Server Registry: https://github.com/modelcontextprotocol/servers - Claude Desktop: https://claude.ai/download 📌 Chapters: 0:00 — Why MCP Changes Everything 1:30 — What Is MCP? 3:00 — Architecture Deep Dive 5:00 — JSON-RPC & The Protocol Layer 6:30 — Building Your First Server 8:00 — Connecting to Claude Desktop 9:30 — Stacking Tools & Emergent Behavior 11:00 — Security & Permissions 13:00 — Build Order & Roadmap 15:00 — Real-World Use Cases 17:00 — The Ecosystem & What's Next #MCP #AIAgents #ModelContextProtocol #BuildAIAgents #LLMTools #ClaudeAI #Anthropic #AIAutomation #DeepTechAILabs