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Model Context Protocol (MCP) Explained – A New Standard for AI Context & Tooling In this video, we explore Model Context Protocol (MCP) — an open protocol designed to standardize how AI models receive context, interact with tools, and access external data. As AI systems become more powerful, managing context, tools, and memory across different applications has become increasingly complex. MCP aims to solve this by introducing a structured, interoperable way for models to communicate with external resources like files, databases, APIs, and tools — without custom, one-off integrations. šŸ” What you’ll learn in this video: What Model Context Protocol (MCP) is Why MCP is important for modern AI applications How MCP works at a high level MCP servers, clients, and tools explained Real-world use cases and examples Current limitations and challenges of MCP Whether you’re an AI developer, researcher, or just curious about how modern AI systems manage context, this video will give you a solid understanding of MCP and why it matters. šŸ“¢ Don’t forget to like, subscribe, and share if you find this helpful! #ModelContextProtocol #MCP #AI #LLM #AIAgents

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