Mar 9
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In this video, we explore **MCP (Model Context Protocol)** and how MCP servers allow AI models to interact with tools, APIs, and external data sources. MCP is designed to create a standardized way for **LLMs and AI agents to access tools, retrieve information, and perform tasks**. Instead of building custom integrations for every AI application, MCP provides a structured interface between AI systems and external services. In this video, we break down how MCP works, what MCP servers do, and why this protocol is becoming important for building scalable AI systems. This video is part of the **LLM & Generative AI Learning Playlist**, where we explain modern AI concepts in simple and practical terms for students, developers, and AI enthusiasts. Topics covered in this video: • What is Model Context Protocol (MCP) • How MCP servers work • Connecting AI models to tools and APIs • MCP in AI agent systems • Why MCP matters for the future of AI development If you want to understand how **AI systems connect with real-world tools and data**, this video will give you a clear conceptual foundation. #MCP #ModelContextProtocol #LLM #AIAgents #GenerativeAI #AIEngineering #AIArchitecture