pbi-desktop-mcp-public and pbixray-mcp-server
These tools are ecosystem siblings: one is an MCP engine that allows AI assistants to interact with Power BI models programmatically, while the other is an MCP server that provides full Power BI model context through tools based on the PBIXRay Python package, both designed to facilitate AI interaction with Power BI.
About pbi-desktop-mcp-public
maxanatsko/pbi-desktop-mcp-public
The MCP Engine is a Power BI tool that lets AI assistants like Claude interact with your Power BI models programmatically: read your model structure, run DAX queries, create and modify measures, manage relationships, and perform advanced analytics - all through natural conversation.
This tool allows business intelligence analysts and data professionals to manage and interact with their Power BI models using AI assistants like Claude or Copilot. You can use natural language to query your Power BI files, create new measures, organize relationships, and fine-tune performance. It helps you automate tasks and refine your data models efficiently.
About pbixray-mcp-server
jonaolden/pbixray-mcp-server
MCP server to give llms such as Claude, GitHub Copilot etc full PowerBI model context (from input .pbix) through tools based on PBIXRay python package.
This project helps Power BI developers and data analysts understand the inner workings of their Power BI models. By analyzing a .pbix file, it provides detailed information about tables, relationships, DAX measures, Power Query M code, and schema. The output is a comprehensive breakdown of the Power BI model's structure and logic, making it easier to debug, optimize, or document complex reports.
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