preset-mcp-data

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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 By preset-io schedule Updated 6/11/2026

name: preset-mcp-data description: 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-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

Install via CLI
npx skills add https://github.com/preset-io/agent-skills --skill preset-mcp-data
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