pbixray-mcp-server and mcpbi
These two tools are complements, as one provides PowerBI model context from a `.pbix` file, while the other provides context from locally running PowerBI Desktop instances, allowing for comprehensive PowerBI context provision to LLMs depending on the source of the PowerBI data.
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.
About mcpbi
jonaolden/mcpbi
PowerBI MCP server to give LLM clients (Claude, GH Copilot,etc) context from locally running PowerBI Desktop instances.
This project helps Power BI users get assistance from AI language models (like GitHub Copilot or Claude) directly within their Power BI Desktop environment. It allows the AI to understand your data models, analyze them, and help you write or debug DAX queries. The input is your active Power BI Desktop model, and the output is AI-generated insights, DAX suggestions, or query results.
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