The Model Context Protocol (MCP) is an innovative framework designed to standardize and simplify interactions between AI models and client applications. In this demo-intensive session, we’ll take a practical, hands-on approach to understanding MCP and its role in enabling seamless AI integration.
We’ll start by answering the fundamental questions: What is MCP? How does it work? How do you use it? From there, we’ll dive into an in-depth overview of MCP features, exploring its architecture, capabilities, and how it bridges the gap between models and applications. Finally, we’ll guide you through building your first MCP server step-by-step, leveraging real-world examples and live demonstrations to solidify your understanding.
Whether you’re new to MCP or looking to expand your AI development toolkit, this session will equip you with the knowledge and practical skills to start creating MCP-powered solutions today.
Key Takeaways:
- Understand the core principles and design of MCP.
- Explore MCP features and how they enhance AI workflows.
- Learn by doing: Build and run an MCP server in real time.
About Taiob:
Taiob Ali, a Microsoft Data Platform MVP with over 19 years of experience designing and implementing data solutions across finance, e-commerce, and healthcare. My expertise includes the Microsoft Data Platform, MongoDB, Azure AI, and Python for data-driven innovation.
As a dedicated community advocate, I've presented at over 100 events worldwide, including SQL Saturdays, Data Saturdays, and international conferences. I founded the Database Professionals Virtual Meetup Group, serve on the New England SQL Server User Group and SQL Saturday boards, and contribute regularly to Microsoft Learn, where my work is featured in the Contributor Stories.
