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Let AI author and edit local Power BI files, models, reports, and queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "superbi-mcp" yet — see the docs or source repo.
Find the sales report in the local PBIP project, change visuals related to "sales amount" to show tax-inclusive sales instead, and list the report pages and fields you modified.
A change summary describing affected report pages, fields, and the edits made.
Review the semantic model in this local Power BI project, add common time-dimension fields to the date table, and explain which columns were added.
A model update summary explaining the new fields and their purposes.
Locate the Power Query M used to import order data in the local .pbix/.pbip project, add missing-value cleanup and field type conversions, and summarize the changes.
A summary of the updated query, including cleanup steps and type conversions.
Data analysts or developers can have AI work directly on local .pbix or PBIP files, reducing manual effort when updating models, reports, and queries.
When report fields, semantic model definitions, or query logic need consistent updates, this tool can apply the edits centrally and report the changes.
If data cleanup or transformation logic in a local Power BI project needs updates, AI can edit the Power Query M code to make those changes.
Based on the description, it can author and edit local Power BI files, including semantic models, reports, and Power Query M.
The description explicitly mentions support for local .pbix and PBIP files.
The provided material does not include installation or configuration steps. For prerequisites, dependencies, and setup details, see the source repository.
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