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Connect AI to local Power BI Desktop for schema inspection and DAX queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Power BI Desktop Local MCP Server" yet — see the docs or source repo.
Connect to the local Power BI Desktop instance and list all tables and column names in the current model.
A list of tables, field names, and a schema overview.
Run a DAX query on the current Power BI Desktop model to calculate sales by product category.
A result table showing sales amounts by category.
Inspect the date-related tables and columns in the current model and explain how they may be used for analysis.
Relevant tables/columns and suggestions for time-based analysis.
A data analyst can inspect tables and columns in a local Power BI file to quickly understand the model. This helps identify useful fields faster.
When you need to verify metric logic or test results, you can run DAX queries against a local Power BI Desktop instance. It is useful for analysis validation and reconciliation.
Developers or analysts can use this tool to let AI discover a local Power BI model and read its structure, then generate analysis questions from it.
It lets AI assistants discover and interact with local Power BI Desktop instances. Its main capabilities are inspecting table/column schema and executing DAX queries.
A locally running Power BI Desktop instance is required. No further installation or configuration details are provided in the supplied information.
Its focus is not general-purpose data processing, but direct access to a local Power BI Desktop model and DAX query execution.
Control Power BI with natural language to build measures and improve models.
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Inspect, optimize, and author DAX in Power BI Desktop with natural language.
Discover Power BI assets, run DAX, and generate executive HTML reports.
Connect to Power BI with natural language to query and refresh data.
Discover Power BI assets, retrieve TMDL, and run DAX queries securely.