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Connect to Power BI via MCP to inspect models and analyze data.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "SemanticOps MCP (for Power BI)" MCP server from askskill: Run: claude mcp add 'io-github-maxanatsko-mcp-engine' -- npx -y mcp-engine
Connect to my Power BI environment, list the tables, fields, measures, and relationships in the current dataset, and summarize the model structure in English.
A model inventory plus a summary of key table relationships and metric definitions.
Based on this Power BI data model, help me write a DAX measure for year-over-year sales growth and explain the formula logic and assumptions.
A usable DAX formula with calculation logic, field dependencies, and usage notes.
Review this Power BI report issue, identify possible model relationships, filters, or measure problems causing inconsistent results, and suggest fixes.
A diagnosis of the issue, likely causes, and actionable optimization or fix recommendations.
Connect to Power BI with natural language to query and refresh data.
Discover and connect Power BI workspaces and semantic models for data access.
Query and modify live Power BI Desktop models through its in-memory engine.
Edit Power BI project reports locally in PBIR format for faster maintenance.
Enable AI agents to create and manage Power BI semantic models.
Proxy MCP clients to Power BI for DAX, workspaces, and datasets.