Loading video player...
Welcome to Episode 0x14 of the LLM & Generative AI Series. In this video, we move from theory to practice by building your first MCP (Model Context Protocol) server. MCP is emerging as a standard way for AI agents to interact with tools, APIs, and data sources. Instead of manually wiring integrations, MCP provides a structured protocol that allows AI systems to discover and use capabilities dynamically. In this episode, we walk through the architecture and then implement a simple MCP server that exposes tools to AI agents. 🚀 What you’ll learn ✅ What an MCP Server actually does ✅ MCP architecture explained simply ✅ MCP Server vs APIs vs Tool integrations ✅ How AI agents communicate with MCP servers ✅ Building a simple MCP server step-by-step ✅ Exposing tools through MCP ✅ Real-world use cases for agent systems 🧠 Why MCP Servers Matter MCP servers enable: • AI agents to discover tools dynamically • Standardized tool integration • Secure interaction with systems • Scalable agent architectures They are becoming a key component in Agentic AI ecosystems. 🔎 Keywords mcp server tutorial model context protocol tutorial build mcp server python mcp server ai agents ai agent architecture mcp explained model context protocol server 🔥 Hashtags #MCP #ModelContextProtocol #AIAgents #GenerativeAI #LLM #AgenticAI #AIEngineering #GenAI #ArtificialIntelligence #AIArchitecture