In recent weeks, there has been growing interest in understanding how AI can improve the way teams work with Power BI models and reporting workflows. While Power BI already provides strong capabilities for visualization and analytics, tools like MCP (Model Context Protocol), GitHub Copilot, and Claude are helping reduce manual work and improve productivity.
Understanding the Current Challenge
In many Power BI projects, a significant amount of time is spent on creating DAX measures, updating calculations, validating logic, optimizing performance, maintaining documentation. Even though Power BI simplifies reporting; large models still involve repetitive manual effort. This is where AI-based assistance becomes useful.
What Was Learned About Power BI Copilot
Power BI Copilot is designed to make report creation easier using natural language.
For example, instead of manually building visuals, users can type: “Show monthly revenue trends by region” Copilot can then Generate visuals, Suggest insights or Help with basic DAX logic. From observation, Copilot is very helpful for Quick dashboard creation, Data exploration, Business users who are not deeply technical. However, it still behaves more like a supporting assistant rather than an automation engine for complex scenarios such as Bulk measure creation, DAX optimization, Model-level updates where manual effort is still required.
Understanding MCP (Model Context Protocol)
MCP was one of the most interesting concepts identified during this research. Unlike normal AI assistants that only provide suggestions, MCP allows AI tools to interact with systems and execute tasks. In simple terms:
- Copilot helps users work faster
- MCP helps AI perform work automatically
This changes the role of AI from being just a chatbot into something closer to an execution layer.
MCP with Claude – A Different Experience
When MCP was connected with Claude, the experience became much more powerful.
Instead of only generating suggestions, Claude was able to Access the Power BI model, Create DAX measures, Understand model structure, Generate multiple calculations & Suggest optimizations.
One major observation was the reduction in manual navigation. Normally in Power BI, Teams move between model view and report view, create measures one by one or validate calculations manually.
Practical Setup Experience
The setup process involved integrating MCP with VS Code + GitHub Copilot, Claude Desktop & Power BI Desktop. The important requirement was: 👉 A .pbix file must already be open in Power BI Desktop because MCP connects to the currently active model. After setup, prompts such as: “List all tables in my model” were tested successfully. The AI was able to interact directly with the Power BI semantic model.
What Can Be Done Using MCP + Claude?
Based on testing and research, MCP with Claude can help in several practical Power BI tasks.
DAX Development: Create multiple measures at once, Generate complex calculations, validate logic before applying Optimization: Improve slow DAX calculations, Suggest better logic and structure
Documentation: Generate model documentation, Explain existing measures and calculations
Model Management: Handle relationships and hierarchies, Support RLS-related configurations
Automation: Reduce repeated manual work, Perform bulk operations more efficiently
When to use what Research showed these tools are not competitor.they solve different problems.
Use Copilot when:
- Report generation, visual suggestions, quick data exploration, business analytics.
- Users are non-technical — analysts, managers, executives
- Self-service report generation is needed inside Power BI
- The organization already has Fabric or Premium capacity
- Tasks are read-only — exploring data and generating visuals
Use Claude via MCP when:
- Automation, advanced development tasks, bulk operations, model management.
- Building or maintaining semantic models
- Creating, editing, or deleting model objects
- Batch automation of modelling tasks is needed
- TMDL export and Git version control are required
- Fabric deployment from chat is needed
- RLS and security setup need to be handled programmatically
- DAX validation is required before saving
In simple terms Copilot helps users work faster & MCP + Claude helps automate development work
Key Takeaways
Traditionally, Power BI focused mainly on reporting and visualization. With Copilot, usability inside Power BI is improved, while MCP with Claude extends AI capabilities into the development process through calculations, optimization, documentation, automation, and task execution. These tools do not replace developers or analysts but help reduce repetitive work and improve productivity. As they continue evolving, they can become very useful for improving BI development workflows.
