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Connect to Power BI with natural language to query and refresh data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "powerbi-mcp-server" yet — see the docs or source repo.
After connecting with my Power BI service principal, list all accessible workspaces and return their names and workspace IDs sorted by name.
A workspace list with names, IDs, and basic details for selecting analysis targets.
Run a DAX query on the specified dataset to calculate sales and year-over-year change by product line for the last 30 days, and present the results in a table.
A readable results table showing key business metrics and their changes.
Trigger a refresh for the specified Power BI dataset and keep checking the refresh status; when finished, tell me whether it succeeded or failed and include relevant timestamps.
Refresh job status, final outcome, and timestamps to confirm whether the data was updated.
Connect to Power BI via MCP to inspect models and analyze data.
Discover and connect Power BI workspaces and semantic models for data access.
Proxy MCP clients to Power BI for DAX, workspaces, and datasets.
Discover Power BI assets, run DAX, and generate executive HTML reports.
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.