Getting Started with MCP Servers

Model Context Protocol (MCP) servers are emerging as powerful tools for building context aware, AI assisted development. In this session, you’ll learn how MCP servers can accelerate Power BI development by helping you generate semantic models, write DAX, and create role level security through natural language interaction with your data models.
We’ll walk through installing and configuring two MCP servers, Fabric, and Power BI.

We will show how to connect to MCP Servers through VSCode and use it to interact directly with Fabric. Power BI Desktop and Power BI Service. You’ll see demonstrations of real-world tasks driven by AI through the MCP interface.
Because MCP servers can access sensitive model structures and datasets, we will also review key data security considerations and best practices to ensure you can leverage this technology safely and responsibly.
If you’ve been wondering how AI can enhance and accelerate your code this session will give you the practical foundation you need to get started.
You will learn:

• About the fundamental concepts of Model Context Protocol (MCP) servers and describe how they integrate with Power BI to support AI‑assisted development.
• How to install, configure, and connect to an MCP server using VSCode
• About potential data‑security risks associated with MCP‑enabled AI and formulate strategies to use MCP servers safely.

Speaker: Ginger Grant
Ginger Grant is a distinguished Microsoft Data Platform MVP and Microsoft Certified Trainer (MCT), renowned for her deep expertise in advanced analytics, machine learning, AI, data warehousing, and the evolving landscape of Microsoft Fabric. As a sought-after consultant, Ginger empowers organizations to harness the full potential of their data ecosystems.

Beyond consulting, Ginger is a prolific thought leader and speaker for both keynotes and technical training. She contributes regularly as a columnist for Code Magazine, authors insightful books, and shares practical knowledge on her blog, DesertIsleSQL.com. Her educational impact spans a wide range of technologies, including Azure Synapse Analytics, Python, and Azure Machine Learning, making her a trusted voice in the data community.

Whether on stage, in print, or in the classroom, Ginger’s passion for data and commitment to knowledge-sharing make her a standout figure in the world of data and AI.

LinkedIn: Ginger Grant | LinkedIn

Agenda:

• 12:15-12:30pm: Sign-in & network
• 12:30-12:35 pm: Announcements & Intro
• 12:35-1:35pm: Presentation
• 1:35-2:00pm: Q&A, wrap-up

Location:
Online. You must register for the link