Model Context Protocol (MCP) Explained | Real-World Automation Demo
Автор: Indrasol
Загружено: 2026-01-22
Просмотров: 13
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
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