Getting Started with Model Context Protocol (MCP) | #CopilotChronicles
Key Takeaways
Introduces Model Context Protocol for connecting AI models to external tools and data sources
Original Description
The Model Context Protocol (MCP) is rapidly emerging as the new open standard for connecting AI models—like large language models (LLMs)—to the external tools, data sources, and business systems that power modern workflows. In this session, we’ll demystify MCP and show how it transforms AI integration from a tangled web of custom connectors into a streamlined, scalable, and secure architecture—think “USB-C for AI.”
You’ll learn how MCP enables seamless, two-way communication between AI assistants and your organization’s data, whether it lives in Microsoft 365, Azure-based services, GitHub, Slack, or custom business applications. We’ll break down the core components of MCP—hosts, clients, and servers—and demonstrate how they work together to let AI applications retrieve data, invoke tools, and maintain rich context across platforms.
The session will focus on:
Through practical examples, we’ll explore:
•The fundamentals of MCP’s client-server architecture and how it standardizes AI-to-tool communication
•How to build or deploy MCP servers to expose your data and tools to AI, including with C# and .NET in Microsoft environments5
•Real-world use cases: from automating code reviews with Claude and GitHub to integrating AI with Microsoft’s productivity suite
•Security, authentication, and best practices for safe, enterprise-ready deployments47
•The growing ecosystem of MCP-compatible tools and how to future-proof your AI strategy.
What will the attendees learn from this session?
Whether you’re a developer, IT leader, or business innovator, you’ll leave this session with a clear roadmap for leveraging MCP to unlock the full power of AI in the Microsoft world—enabling smarter, more connected, and more productive solutions for your team or organization.
Read More - https://aka.ms/MS-Copilot-LearningHub
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