Power BI + Claude: AI-Powered Modeling with the MCP Connector
17mIntermediate2026-06-10
Authors

Matt Mike
Course details
The Power BI Modeling MCP Server is changing how analysts and developers build and manage semantic data models. In this hands-on course, Power BI developer Matthew Mikes shows you how to install and configure the official Microsoft Power BI Modeling MCP connector, link it to Claude Desktop, and start interacting with your Power BI models using natural language prompts. You explore real-world workflows including writing and validating DAX measures, documenting your model, managing relationships, and performing bulk operations that would otherwise take hours of manual effort. Throughout the course, you follow safety-first principles, working in read-only mode, maintaining backups, and crafting precise prompts that produce reliable, production-ready results.
Learning objectives
Configure the Microsoft Power BI Modeling MCP Server and connect it to Claude Desktop for local semantic model interaction.
Use natural language prompts in Claude Desktop to create, modify, and validate DAX measures and model relationships.
Perform advanced semantic model operations, including bulk edits, documentation generation, and schema exploration through conversational AI commands.
Apply best practices for safe, responsible AI-assisted modeling, including backup strategies, read-only exploration, and prompt engineering techniques specific to Power BI workflows.
Identify the strengths and limitations of AI-driven model development.
Learning objectives
Configure the Microsoft Power BI Modeling MCP Server and connect it to Claude Desktop for local semantic model interaction.
Use natural language prompts in Claude Desktop to create, modify, and validate DAX measures and model relationships.
Perform advanced semantic model operations, including bulk edits, documentation generation, and schema exploration through conversational AI commands.
Apply best practices for safe, responsible AI-assisted modeling, including backup strategies, read-only exploration, and prompt engineering techniques specific to Power BI workflows.
Identify the strengths and limitations of AI-driven model development.
Concepts
Introduction
- Welcome and course overview
Understanding the Power BI Modeling MCP and Setting Up the Integration
Exploring Your Semantic Model with Natural Language
- Exploring a Power BI model with Claude
- Using Claude for data exploration
Creating and Modifying DAX Measures
- Creating and testing DAX measures with Claude
- Improving DAX output in Claude
Bulk Operations and Model Optimization
- Advanced model management with Claude
Mini Projects - Real-World Workflow Demos
- Project 1 - Audit and clean an inherited model
Best Practices, Limitations, and What's Next
- Best practices for AI-assisted modeling