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Most non tech people learning AI don't get MCP. I've given a simple clear explanation. 1. 𝗨𝘀𝗲𝗿 Everything still starts with the User. • The user wants something done • Example: “Send a message to my team” or “Summarise my Google Docs” But now t

🚨 API vs MCP: APIs are great. But MCP? Let's deep dive (<1min) 💡 So what’s the difference? Isn’t MCP just another API in disguise? Not quite. They look similar at first glance — but under the hood, MCP is purpose-built for modern AI and agenti

Alright, let’s break down what an MCP server is in simple terms! Imagine you have a really smart robot assistant—like a super helpful friend who can answer questions and do tasks for you. But here’s the catch: this robot only knows what it’s been t

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Most non-tech people learning AI don’t get this. I’ve explained how MCP works in simple. 1. 𝗨𝘀𝗲𝗿 Everything starts with the 𝗨𝘀𝗲𝗿. • The user wants something done • Example: “𝘍𝘪𝘯𝘥 𝘮𝘦 𝘧𝘭𝘪𝘨𝘩𝘵𝘴 𝘵𝘰 𝘚𝘪𝘯𝘨𝘢𝘱𝘰𝘳𝘦” The request

Most people even today don't know this about MCP. I've explained it in simple way below. AI systems fail because control logic lives inside prompts. MCP moves that control outside the model, where it belongs. 1. 𝗗𝗶𝗿𝗲𝗰𝘁 𝗔𝗣𝗜 𝗪𝗿𝗮𝗽𝗽𝗲𝗿

Everyone learning AI should know these 3 protocols. I've explained each protocol in simple. 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) MCP helps AI models 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝘁𝗼 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗱𝗮𝘁𝗮. • It acts as a brid

MCP is getting attention, but it’s just one piece of the puzzle If you’re developing Agentic AI systems, it’s crucial to understand more than just MCP. There are 5 key protocols shaping how AI agents communicate, collaborate, and scale intelligence

4 ways how AI systems communicate and coordinate. I've explained each one in detail below. 1. 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) • User submits a request: “Summarize today’s Slack messages.” • MCP Client receives input: Interface b

Everyone wants to build AI agents these days. But very few actually understand what sits beneath the surface. Here’s the part most people ignore: AI agents are mostly software engineering - about 95%. The “AI” part is just the remaining 5%. All the