Build Power BI Dashboards 10x Faster with AI & MCP (Live HTML Prototyping)

Stuck spending hours manually positioning cards, charts, and slicers in Power BI? In this tutorial, we demonstrate a rapid prototyping workflow using Model Context Protocol (MCP) and VS Code to generate single-file, web-ready HTML dashboards powered by your live Power BI data model! By keeping your Power BI Desktop file (.pbip) open in local RAM, an AI agent connects via a live DAX query link to read model metadata, evaluate measures, and dynamically build interactive web layouts in minutes. 💡 WHAT YOU WILL LEARN: • Bypassing Power BI frontend drag-and-drop visual building bottlenecks. • Connecting AI to Power BI Desktop RAM using an MCP live link connection. • Git workspace setup: Branching (`crazy/html_report`) and resetting repository state in VS Code terminal. • The "Lazy Prompting" strategy: Building a base HTML layout before adding features step-by-step. • UI Customization: Adding Day/Night theme toggling, hover state tooltips, and human color contrast adjustments. • Live DAX query evaluation & dynamic cross-filtering across cards and slicers. • Landscape PDF export directly from your web browser. --------------------------------------------------- 📍 CHAPTERS: 00:00 - Introduction & Overview 01:05 - The Challenge of Visual Building 02:00 - Web-Based HTML Dashboards 03:40 - Setting Up VS Code & Git Branching 05:15 - Connecting AI via MCP & Power BI RAM 08:15 - Base HTML Generation & Lazy Prompting 10:05 - UI Customization, Themes & Contrast Rules 14:30 - Live DAX Data Integration & Cross-Filtering 16:00 - Workflow Summary & Key Takeaways --------------------------------------------------- 🛠️ PREREQUISITES & TECH STACK: • Power BI Desktop (running a .pbip project format) • Visual Studio Code + GitHub Copilot • Model Context Protocol (MCP) server & .md rules 💬 Enjoyed this tutorial? Don't forget to Like, Subscribe, and drop your questions about MCP or Power BI in the comments below! #PowerBI #MCP #AIPrototyping