# bipixie-mcp

Source: https://glimind.com/server/pypi%2Fbipixie-mcp
Registry id: `pypi/bipixie-mcp`
Status: unknown

## Install

```json
{
  "mcpServers": {
    "bipixie-mcp": {
      "command": "uvx",
      "args": [
        "bipixie-mcp"
      ]
    }
  }
}
```

Claude Code:

```sh
claude mcp add bipixie-mcp -- uvx bipixie-mcp
```

## Tools (25)

- `ai_readiness_scores`: Each semantic model's latest AI Readiness score and band, its change over time, and open findings.
- `data_audit`: Data auditing: which tables, columns or values people view or click most; values of one column; who viewed or clicked a value; resolve entity; user activity.
- `describe_model`: The tables, measures and filterable columns of your BI Pixie semantic model, and how fresh its data is.
- `design_metrics`: report_usage with view=design, and metric in place of order_by
- `feedback_distribution`: feedback_summary with view=distribution
- `feedback_summary`: CSAT, NPS, the sentiment split and survey results, as a total, a breakdown or a trend; how feedback clicks split across smiley icons.
- `field_usage`: Which columns and measures of your semantic model the report visuals use, and how often people click them; with unused_only, only those nobody clicked.
- `get_active_dataset`: Shows which workspace and semantic model the tools are reading, and how fresh it is.
- `list_datasets`: Lists the semantic models in a workspace and flags the BI Pixie ones.
- `list_reports`: report_usage with view=list
- `list_workspaces`: Lists the Power BI workspaces you can open.
- `page_engagement`: report_engagement with view=pages
- `report_engagement`: Per page: sessions, time spent, interactions, slicer clicks, visual interactions and tooltip opens; per visual: clicks, ranked.
- `report_health`: report_usage with view=health
- `report_usage`: Your tracked reports with sessions, hours, users and last activity; ranked reports; one report's card; funnel; design metrics.
- `report_usage_breakdown`: report_usage with view=funnel
- `rls_audit`: Row-level security health: users hitting no role or several roles, over-blocking, and rows that may be over-exposed.
- `run_dax`: Any read-only EVALUATE DAX query, for questions the other tools do not cover. Write commands are refused.
- `set_active_dataset`: Points every tool at another workspace and semantic model for this session.
- `suggest_questions`: Example questions grouped by topic, each naming the tool that answers it. Runs no query.
- `top_reports_by_usage`: report_usage with view=ranking
- `unused_fields`: field_usage with unused_only=true
- `user_adoption`: MAU, DAU, DAU/MAU, WAU, engaged, new and returning users, as a summary or a trend; passive and engaged users.
- `user_attrition`: user_adoption with view=attrition
- `visual_engagement`: report_engagement with view=visuals

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.