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Introduction To MCP In Microsift Azure AI Agents

08 Oct 2026   03:30 AM CST

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Webinar Overview
This session introducesModel Context Protocol (MCP), an open standard that allows AI models and agents to securely connect with external tools, APIs, databases, and enterprise systems.Participants will understand why MCP is emerging as a common way to extend AI assistants beyond simple conversations and how MCP servers act as a bridge between AI agents and business capabilities.The session covers MCP fundamentals, architecture, comparison with traditional APIs, real-world use cases, and a basic demonstration of how an AI agent can use MCP tools.
Key Points

  • Introduction to MCP (Model Context Protocol)and how it enables AI agents to connect with external tools, data sources, and enterprise systems.
  • Understanding MCP architecture— Host, Client, and Server components, along with Tools, Resources, and Prompts.
  • MCP Server vs Traditional APIs— how MCP provides AI agents with dynamic tool discovery and execution capabilities.
  • Real-world use casesof MCP in enterprise AI solutions, Azure AI Foundry Agents, Dataverse, APIs, and automation workflows.
  • Benefits of MCP— building scalable, secure, and reusable integrations for AI-powered applications.
Meet The Trainer
Saquib Manzoor  Saquib Manzoor
Saquib Manzoor Saquib Manzoor

As a Microsoft Certified Trainer, I've delivered corporate training to 500+ top organizations worldwide, trained over 50,000 professionals in Microsoft technologies, conducted sessions globally, and participated in initiatives like the Microsoft GitHub Copilot AI Festival.

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Webinar Summary:

This session introduces Model Context Protocol (MCP), an open standard that allows AI models and agents to securely connect with external tools, APIs, databases, and enterprise systems. Participants will understand why MCP is emerging as a common way to extend AI assistants beyond simple conversations and how MCP servers act as a bridge between AI agents and business capabilities. The session covers MCP fundamentals, architecture, comparison with traditional APIs, real-world use cases, and a basic demonstration of how an AI agent can use MCP tools.

08 Oct 2026 | 03:30 AM CST   1 Hour

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