Mar 18
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🚀 *Introduction to MCP (Model Context Protocol) – A Programmer’s Perspective* 00:00 - Introduction to MCP 01:07 - The M by N Problem 06:17 - MCP Architecture Overview 15:30 - MCP Primitives 18:54 - Local vs Remote Servers 25:24 - Demonstration of configuring a Local MCP Server 32:43 - Demonstration of configuring a Remote MCP Server 37:11 - MCP Inspector Tool 40:29 - Conclusion and Next Steps What exactly is MCP, and why is everyone talking about it in the world of AI-powered development? In this video, we break down the *Model Context Protocol (MCP)* from a developer’s point of view — focusing on the *logic, purpose, and architecture* behind it rather than just code. 🧠 If you’ve ever wondered: * Why do we need MCP? * How do AI tools like GitHub Copilot interact with external systems? * What are the core components required to build an MCP Server? * How do Local and Remote MCP Servers actually work in practice? This video will give you a *clear mental model* before you start building. 🔍 *What you’ll learn in this video:* * The problem MCP is designed to solve * Core concepts and architecture of MCP * Key components of an MCP Server * How MCP integrates with tools like VS Code and GitHub Copilot * Demo: Configuring Local and Remote MCP Servers *References* * MCP Documentation - https://modelcontextprotocol.io/docs/getting-started/intro * MCP Architecture - https://modelcontextprotocol.io/specification/2025-11-25/architecture * JSON-RPC 2.0 - https://www.jsonrpc.org/specification * DeepWiki - https://deepwiki.org/ *Tools Used* * VS Code - https://code.visualstudio.com/ * GitHub Copilot in VS Code - https://code.visualstudio.com/docs/copilot/getting-started * Filesystem MCP Server - https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem * DeepWiki MCP Server - https://docs.devin.ai/work-with-devin/deepwiki-mcp 🎯 *Next Video (Don’t Miss):* We’ll take this further and **build a real MCP Server step-by-step**. 👉 Make sure to subscribe so you don’t miss it. 💡 This channel focuses on: *Understanding the logic behind AI and software engineering before writing code.* 🔔 *Subscribe for more:* AI • Software Engineering • Testing • System Design 👉 *Understand the Logic. Build the Intelligence.* #ThushanAILabs #MCP #AIEngineering #SoftwareArchitecture #GitHubCopilot #LLM #SystemDesign #softwareengineering