Practical Agentic AI (.NET) | Day 17 Give Your AI Agents Real Power with MCP скачать в хорошем качестве

Practical Agentic AI (.NET) | Day 17 Give Your AI Agents Real Power with MCP

In Day 17 of the Engineering AI Agents series, we introduce Model Context Protocol (MCP) — a powerful architecture that allows AI agents to interact with external tools, APIs, and enterprise systems. Until now, our agents could analyse and reason, but they could not interact with real systems. With MCP, agents can now: • access external tools • call APIs • retrieve structured data • integrate with enterprise systems In this video you will learn: • What Model Context Protocol (MCP) is • Why tool-enabled AI agents are important • MCP architecture for enterprise AI systems • Tool registry and tool execution patterns • Integrating MCP with .NET + Semantic Kernel + Azure OpenAI We also build a working example where the AI agent calls multiple tools such as: • Code metrics analyser • Security scanner • API integration tool This architecture is used in modern AI agent frameworks such as AutoGen, LangGraph, and enterprise AI platforms. 🧠 Engineering AI Agents Series This video is part of a complete AI Agent Engineering series: Day 1 – Code Understanding Agent Day 5 – CI/CD Automation Agent Day 9 – Multi-Agent Systems Day 12 – Tool Plugins Day 15 – Performance Architecture Day 16 – Azure AI Foundry Migration Day 17 – Model Context Protocol (MCP) Next episode: Day 18 – Enterprise AI Agent Architecture 💻 Tech Stack .NET 8 Semantic Kernel Azure OpenAI AI Agents Architecture Model Context Protocol (MCP) #AgenticAI #AIAgents #ModelContextProtocol #SemanticKernel #AzureOpenAI #DotNetAI #AIArchitecture #AIEngineering #MCP #AIAutomation