In this video, I'll guide you through getting started with Model Context Protocol (MCP). We'll first cover the basics and then dive into building your own MCP server step-by-step.
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MCP is a groundbreaking concept in AI that standardizes communication between AI models and diverse tools, simplifying complex integrations and enhancing reusability. This tutorial is split into two clear sections: in the first, you'll learn exactly what MCP is and why it matters; in the second, we'll build an MCP server in Python and deploy it in the cloud.
By the end of this tutorial, you'll not only understand MCP thoroughly but also have hands-on experience creating and deploying your own MCP solution.
00:00 Introduction to MCP
01:00 Understanding the Problem with AI and Tools
02:54 What is MCP and Why It Matters
05:58 Building Your First MCP Server in Python
09:25 Setting Up and Running Your MCP Server
11:52 Testing Your MCP Server
13:21 Conclusion and Final Thoughts
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