pbi-desktop-mcp-public and powerbi-mcp
These are competitors offering overlapping functionality—both enable AI assistants to interact with Power BI models through MCP, though the first provides lower-level programmatic access (DAX queries, measure management) while the second focuses on natural language abstraction over datasets.
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.
Implements the Model Context Protocol (MCP) server standard, enabling seamless integration with Claude Desktop, VS Code, and other MCP-compatible clients through stdio transport. Features built-in rollback capabilities and dry-run testing to prevent unintended model changes, with all processing occurring locally—zero telemetry, no cloud data transmission. Supports Windows and macOS platforms, maintaining full compatibility with Power BI Desktop's native file format for direct model manipulation.
About powerbi-mcp
sulaiman013/powerbi-mcp
MCP server for natural language interaction with Power BI datasets
Implements dual connectivity to both Power BI Desktop (via TOM) and Power BI Service (via XMLA endpoints), exposing 34 tools for semantic model querying, DAX execution, and bulk refactoring. Solves the critical challenge of renaming tables without breaking report visuals through PBIP file-based editing—directly manipulating TMDL definitions and JSON report bindings rather than relying on TOM, which can't update the report layer.
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