Brighter - Power BI + AI Guide
Free Guide · Power BI + AI

Power BI + AI via MCP: what actually works - and what to watch out for.

A practical breakdown from real Reddit threads, independent tests, and production cases. No hype - just what works, what breaks, how to ship safely.

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"Full_Metal_Analyst added descriptions to 447 measures in one evening. Another writes: I feel more like a prompt machine than a PBI developer. This isn't the future - it's happening right now."
r/PowerBI thread, December 2025
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30 SEC OVERVIEW
What's covered
  • Bulk operations via MCP
    WORKS
    Rename 50+ measures, add descriptions to 200+ columns, build hierarchies - hours become minutes.
  • Debugging diverging measures
    WORKS
    Agent writes its own DAX test queries, runs them and traces why two measures disagree - what takes hours manually.
  • Complex DAX generation
    PARTIAL
    Looks plausible, often semantically wrong. Works for simple measures. Needs validation for filter context.
  • Corporate data + Claude Pro
    RISK
    Pro plan may use data for training by default. API is different - but requires a contract, DPA, and setup.
Inside the guide
Ready-to-copy prompts DAX unit tests CI/CD schema Security checklist .pbip + LLM trick RACI table What-works matrix
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