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In this video, you’ll learn how to build your first MCP (Model Context Protocol) server using FastMCP, a lightweight and developer-friendly way to expose tools to LLM-powered applications. If you're building AI agents, RAG systems, or tool-using LLM apps, understanding MCP is becoming essential. We’ll break it down from scratch and implement a working MCP server that you can connect to your LLM stack. 🚀 What You’ll Learn 🤔 What is MCP (Model Context Protocol) 🧠 Why MCP matters for AI agents and tool calling ⚙️ Setting up FastMCP 🔌 Creating your first MCP server 🛠️ Exposing tools and functions to LLMs 🧪 Testing your MCP server locally 🛠️ Tech Stack Python FastMCP LLM / Agent framework (optional integration) Local development setup 🎯 Who Is This For? AI Engineers Agent builders Developers working with LLM tool calling Anyone exploring modern AI infrastructure If you found this helpful: 👍 Like the video 🔔 Subscribe for more content on AI agents, RAG systems, local LLMs, and AI engineering #FastMCP #MCP #AIagents #LLMTools #ModelContextProtocol #GenAI #AIEngineering #PythonAI Join this channel to get access to perks: https://www.youtube.com/channel/UCFKxdpoc4KdMjUaAsMi7gmg/join