MCP (Model Context Protocol) Explained | Client, Server, Tools & How It Works

🚀 *MCP (Model Context Protocol) Explained — From Basics to Architecture* MCP is becoming an important building block for connecting AI models and agents with real-world tools, data, APIs, and services. In this video, I break down *Model Context Protocol (MCP)* from a Software Engineer's perspective and explain how the different pieces work together. We'll cover: 🔹 What is MCP (Model Context Protocol)? 🔹 Why do we need MCP? 🔹 How MCP works internally 🔹 MCP Client vs MCP Server 🔹 What are MCP Tools? 🔹 What are Resources? 🔹 How an AI Agent/LLM interacts with an MCP Server 🔹 How requests flow between Client → Server → Tools 🔹 How MCP can connect AI with databases, APIs, files and external services 🔹 A real-world example to understand the complete architecture 🔹 MCP vs traditional API integrations 🔹 Key takeaways for Software Engineers If you're learning **AI Agents, LLMs, RAG, System Design or modern AI infrastructure**, understanding MCP is definitely worth knowing. 👨‍💻 I create videos around: • Software Engineering • DSA & LeetCode • System Design • AI & LLMs • Backend Engineering • Developer Tools • Career & Interview Preparation 📌 *Subscribe to Fast & Forward* for more practical Software Engineering and AI content. 💬 If you found the video useful, let me know in the comments what AI/Software Engineering topic you want me to explain next. #MCP #ModelContextProtocol #AI #LLM #AIAgents #SystemDesign #SoftwareEngineering #SDE #Microsoft #BackendDevelopment #GenerativeAI #TechExplained #FastAndForward