May 20
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Are you building AI agents that need to connect to multiple tools and systems? Custom integrations are a nightmare to maintain. There's a better way — MCP Servers. In this video, we'll cover everything you need to know about the Model Context Protocol (MCP) and build a fully working MCP server from scratch using Python and FastMCP. We'll then connect it to Claude Desktop and watch an AI agent autonomously book a car service and send a confirmation email. ────────────────────────────── 📌 WHAT YOU'LL LEARN ────────────────────────────── ✅ What MCP is and why it matters for AI developers ✅ The 3 core components: MCP Host, Client & Server ✅ Setting up a Python project with uv & FastMCP ✅ Creating tools, resources & reusable prompt templates ✅ Installing your MCP server to Claude Desktop via CLI ✅ Running a live end-to-end demo — prompt → calendar → booking → email ────────────────────────────── 🔗 LINKS & RESOURCES ────────────────────────────── → FastMCP Docs: https://gofastmcp.com/getting-started/welcome → MCP Official Docs: https://modelcontextprotocol.io/docs/getting-started/intro → Claude Desktop Download: https://claude.com/download ────────────────────────────── 🏷️ WHO IS THIS FOR? ────────────────────────────── This tutorial is for Python developers who want to build production-ready AI agents without the headache of maintaining dozens of custom integrations. No prior MCP experience needed — just basic Python knowledge. If you're building with Claude, ChatGPT, or any LLM and want your agent to interact with real-world tools and data, this video is for you. ────────────────────────────── #mcp #FastMCP #ClaudeAI #AIAgents #PythonTutorial #ModelContextProtocol #Anthropic #BuildingSaaS #AIAutomation #LLM