What is Model Context Protocol (MCP)?

Everyone's talking about MCP, but most explanations overcomplicate it. Here's the simplest way to think about it: MCP is the USB-C of AI integrations. Before USB-C, every device had its own charger. Before MCP, every AI model needed a custom integration for every tool. 3 AI models × 4 tools = 12 custom connectors. That doesn't scale. MCP fixes this with one open protocol that connects any AI model to any data source or tool. Here's how it works: ✔️ Host → Your AI app (Claude Desktop, an IDE, your custom app) ✔️ MCP Client → Lives inside the host, speaks the protocol ✔️ MCP Server → A lightweight wrapper around any tool or API The communication happens over JSON-RPC, and every MCP server exposes three primitives: 🔴 Tools - Functions the AI can call (search GitHub, send a message) 🟢 Resources - Data the AI can read (files, database records) 🔵 Prompts - Reusable templates for common interactions The real-world flow is simple: 1️⃣ You ask the AI a question 2️⃣ AI realizes it needs external data 3️⃣ MCP Client sends a request to the MCP Server 4️⃣ Server fetches data from the tool/API 5️⃣ Response flows back through the protocol 6️⃣ AI gives you an enriched, context-aware answer The beauty? Build one MCP server for GitHub, and every AI app can use it. No more rewriting integrations for each model. MCP is an open standard by Anthropic, and adoption is growing fast - from IDEs to enterprise platforms. The future isn't AI that knows everything. It's AI that can connect to everything. 🚀 Want to deep dive into MCP? I'm starting a new batch where we'll go hands-on, building MCP servers, connecting real tools, and understanding the protocol inside out. Two batches to fit your schedule: 🌅 Morning - May 9–31 · 8:00–9:30am PST https://lnkd.in/gA6bmisg 🌙 Evening - May 8–30 · 7:00–8:30pm PST https://lnkd.in/g6T7NtQp 🔗 Full course details: https://lnkd.in/g_UcV4yE