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In this video, we learn the fundamentals of Model Context Protocol (MCP) and understand how modern AI systems connect with external tools using MCP architecture. Topics covered in this session: * What is MCP? * Why MCP is important for AI Agents * MCP Client-Server Architecture * MCP Host, Client, and Server * Data Layer vs Transport Layer * JSON-RPC in MCP * MCP Core Concepts * Tools, Resources, and Prompts * Filtered Architecture Explained * Real-time Notifications * Tool Discovery and Execution * FastMCP Python Example * Using @mcp.tool() * Building a simple MCP Math Server We also build a working MCP server using Python and FastMCP where AI tools like addition and multiplication are exposed through MCP. This video is beginner friendly and ideal for: * Python developers * AI engineers * GenAI learners * MCP beginners * AI Agent developers * LLM application developers Technologies Used: * Python * FastMCP * OpenAI API * python-dotenv #MCP #ModelContextProtocol #FastMCP #Python #OpenAI #AIAgents #LLM #GenerativeAI #AIEngineering #Claude #MachineLearning