Model Context Protocol (MCP) Explained | Real-World Automation Demo скачать в хорошем качестве

Model Context Protocol (MCP) Explained | Real-World Automation Demo

Manual workflows slow teams down and introduce errors. MCP changes that. In this session, we demonstrate Model Context Protocol (MCP) using a real-world example: automating LinkedIn posting. MCP provides a structured way for AI systems to interact with tools, manage context, and execute tasks reliably within backend workflows. Instead of ad-hoc integrations, MCP enables clean, scalable, and maintainable automation. 🔹 What this video covers: • What Model Context Protocol (MCP) is • Why MCP is needed in modern AI systems • Real-world MCP use case: LinkedIn post automation • MCP servers, tools, and actions explained • Designing structured AI workflows • How MCP fits into backend and automation systems • Using AI-generated content and images in workflows This session helps developers move from manual processes to intelligent automation, showing how MCP brings clarity, control, and scalability to AI-powered systems. 🎯 Who should watch: • Backend Developers • AI Engineers • Full-Stack Developers • Automation & Platform Engineers • Teams building AI-driven workflows 📌 Build cleaner AI workflows. Automate with confidence using MCP. #MCP #ModelContextProtocol #AIAutomation #WorkflowAutomation #BackendEngineering #AIWorkflows #ProductDemo