← ClaudeAtlas

preset-mcp-datalisted

Use Superset MCP data-returning tools for chart data, chart previews, rendered chart SQL, and dataset query results. Use only for MCP tool workflows; do not use for direct API work.
preset-io/agent-skills · ★ 4 · AI & Automation · score 74
Install: claude install-skill preset-io/agent-skills
# preset-mcp-data Use when the user needs data returned through MCP tools. ## Always - Use MCP tools only; do not switch to REST chart-data, SQL Lab, or dataset endpoints. - Treat returned rows, rendered SQL, chart previews, and dataset query results as potentially sensitive. - Keep row limits, selected columns, metrics, filters, and formats narrow. - Use discovery tools first when identifiers, metrics, columns, or chart IDs are unknown. - Do not use data tools as a workaround after data-model permission denial. ## Decision Rules - Use `get_chart_data` for existing chart result data. - Use `get_chart_preview` for renderable existing chart previews. - Use `get_chart_sql` to inspect rendered chart SQL without executing it. - Use `query_dataset` for semantic-layer metrics, dimensions, filters, and time ranges (saved metrics only; route ad-hoc aggregates to `preset-mcp-sqllab`). - Route chart creation to `preset-mcp-visualization`. ## Workflow Order 1. Classify which output the request needs: result data, preview content, SQL text, or semantic-layer output. Do not ask the user to re-confirm an explicit data request. 2. Resolve the object and schema through discovery if needed. 3. Choose `get_chart_data`, `get_chart_sql`, `get_chart_preview`, or `query_dataset` according to the requested output. 4. Request a small result with narrow fields, row limits, and the least revealing format. 5. Summarize data carefully; do not paste large raw payloads. ## Retrieve - Data tool rou