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🧠 In this video, we explore the core concepts and architecture of Model Context Protocol (MCP). Before jumping into hands-on demos, it’s important to understand what MCP is, why it was introduced, and how it fits into modern agentic AI systems 🤖. 🔹 Topics covered in this video: ⚙️ What is Model Context Protocol (MCP)? 🧩 Why MCP was needed (the N × M integration problem) 🛠️ MCP servers: tools, resources, and prompts 🖥️ MCP client–server architecture 🔌 MCP transport layers: stdio and HTTP 🤖 How MCP empowers AI agents and assistants This video focuses on **conceptual clarity**, not deep protocol internals, so you can confidently follow the hands-on labs in the next videos 🚀. 📌 GitHub repository (code & labs): 👉 https://github.com/prpanigrahi/mcp_for_bioinformatics_course This video is part of the playlist: 🎥 Model Context Protocol (MCP) for Bioinformatics