AI assistants can now read your Power BI data models directly
Microsoft has released the Fabric Local MCP server, an open-source tool that connects AI assistants directly to Microsoft Fabric and Power BI. The tool is now generally available and supports integrations with AI models including Claude, GitHub Copilot, and Cursor. Instead of relying on manual prompts, these AI models can now read your actual item schemas, OneLake files, and Power BI models. The server uses OpenAPI specifications to standardise how AI interacts with more than 15 different Fabric items.
Until now, using AI to troubleshoot Power BI was a frustrating exercise in translation. If a DAX measure failed, you had to manually explain your table relationships, filter contexts, and column names to a chatbot, which usually resulted in generic formulas that still returned blank visuals. This release fundamentally changes how you debug broken reports. By giving AI direct access to your reporting environment, tools like Claude can actually see how your tables are connected before suggesting a fix. It bridges the gap between your messy Excel imports and the strict data modelling rules Power BI demands.
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Stop worrying that AI will automate your reporting job and start using it as your personal DAX tutor. Point Claude or Cursor directly at your broken Power BI model so it can see your exact table relationships. Let the AI untangle the filter context while you focus on making sure the final numbers actually match what your boss sees in the source system.
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