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šÆ Learn Model Context Protocol (MCP) Architecture in this comprehensive visual guide! In this video, we break down the MCP architecture that connects AI applications like Claude Code and VS Code to various context sources. Perfect for developers, AI enthusiasts, and anyone interested in understanding how modern AI systems access and utilize context data. CHAPTERS: 0:00 Introduction to MCP 0:10 Client-Server Architecture 0:20 Key Participants (Host, Client, Server) 0:38 Real-World Example: VS Code 1:06 Complete Architecture Diagram 1:29 Local vs Remote Servers 1:53 Summary š KEY CONCEPTS COVERED: ā MCP Host (AI Application) ā MCP Client (Connection Manager) ā MCP Server (Context Provider) ā Dedicated Connections ā Local vs Remote Servers ā STDIO vs HTTP Transport š WHAT YOU'LL LEARN: - How MCP connects AI applications to context sources - The role of hosts, clients, and servers - Real-world implementation with Visual Studio Code - Differences between local and remote MCP servers - How dedicated connections work in practice š” PRACTICAL EXAMPLES: - VS Code connecting to Sentry MCP server - Filesystem server integration - Multiple client-server connections š RESOURCES: Official MCP Documentation: https://modelcontextprotocol.io/docs/learn/architecture š WHO IS THIS FOR? - Software Developers - AI/ML Engineers - DevOps Engineers - Tech Students - Anyone interested in AI architecture š RELATED TOPICS: #ModelContextProtocol #MCP #AIArchitecture #SoftwareArchitecture #ClientServer #VSCode #ClaudeAI #AIIntegration #DeveloperTools #TechEducation š If you found this helpful, please LIKE, SUBSCRIBE, and share with fellow developers! š¬ Questions? Drop them in the comments below!