MCP Crash Course for Python Developers

Learn AI Engineering from first principles: https://academy.datalumina.com/genai-accelerator Want to start freelancing? Let me help: https://www.datalumina.com/data-freelancer 💼 Need help with a project? Work with me: https://solutions.datalumina.com/ 🔗 GitHub Repository https://github.com/daveebbelaar/ai-cookbook/tree/main/mcp/crash-course 🛠️ My VS Code / Cursor Setup https://youtu.be/mpk4Q5feWaw ⏱️ Timestamps 00:00 Introduction 2:06 Understanding MCP Basics 8:03 Technical Aspects of MCP 12:29 Setting Up Your MCP Server 16:56 Simple Server Setup 25:48 Connecting Your Python Application 33:39 Integrating LLMs with MCP 49:29 MCP vs Function Calling 51:07 Running MCP Servers with Docker 54:19 Lifecycle Management in MCP 56:29 Conclusion and Next Steps 📌 Description In this video, I go over the Model Context Protocol (MCP) for Python developers, taking you from basic concepts to building functional AI systems with MCP servers. I share my hands-on approach to connecting Python applications with different data sources, complete with practical code examples from my GitHub repository. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!