List all databases configured in Superset (e.g. Snowflake). Use to find database_id for listing datasets.

List datasets (tables/views) in Superset. Optionally filter by database_id or search by name. Use to find dataset_id for creating charts.

List all datasets in Superset across all pages. Use when you need the full list (e.g. to find a dataset by name like vw_bioverse_performance_report).

Get a dataset by id, including columns and metrics. Use to see available columns before creating charts.

List dashboards. Optionally search by title.

Get a dashboard by id or slug. Returns full detail including position_json and json_metadata (filters).

Create a new empty dashboard. Returns the new dashboard with id. Then add charts and filters.

Update an existing dashboard. Pass only the fields you want to change (e.g. title, slug, published).

Delete a dashboard by id. This does not delete the charts on it; they remain in Superset.

Update native (dashboard-level) filters. Pass native_filter_configuration as a JSON string: list of filter objects with id, name, filterType, targets, defaultDataMask, scope, etc. Replaces all existing native filters.

Add an existing chart to a dashboard at the given grid position (x, y, width, height).

List charts. Optionally search by name.

Get a chart by id. Returns viz_type, params, datasource, etc.

Create a new chart. params must be a JSON string: object with keys like metrics, groupby, order_desc, row_limit, time_range, etc. depending on viz_type (e.g. table, big_number, line, bar, pie).

Update an existing chart. Pass only the fields you want to change. params must be a JSON string if provided (same shape as for create_chart).

Delete a chart by id. Removing it from a dashboard does not delete the chart; use this to delete it from Superset.

Get all charts that belong to a dashboard.