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Use Superset MCP tools for dataset inspection, semantic-layer querying, and virtual dataset creation. Use only for MCP tool workflows; do not use for direct API work.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Prepare direct Preset API access: auth, JWT exchange, base URLs, pagination, Rison parameters, response handling, and shared API setup. Use only for direct API workflows; Do not use for MCP-only work.
Inspect Preset workspace dashboards, charts, dashboard composition, screenshots, thumbnails, chart data, and chart/dashboard operation routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
Run or route SQL Lab execution, result retrieval, exports, query stop, saved-query mutation, and permalink workflows through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
Drive Preset's `sup` CLI (PyPI package `superset-sup`) for shell, scripting, CI/CD, and agent-driven Preset workflows. Use only for CLI workflows; Do not use for MCP-only work or for direct HTTP/SDK code paths.
Inspect and route direct Superset import/export workflows for dashboards, charts, datasets, databases, saved queries, themes, and asset bundles. Use only for direct API workflows; Do not use for MCP-only work.
Inspect Preset SQL Lab bootstrap, query history, saved queries, result/export routing, query control, and SQL execution routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
Basierend auf der SOC-Berufsklassifikation
| name | preset-mcp-datasets |
| description | Use Superset MCP tools for dataset inspection, semantic-layer querying, and virtual dataset creation. Use only for MCP tool workflows; do not use for direct API work. |
Use for dataset-centered MCP workflows.
list_datasets and get_dataset_info for dataset discovery.get_dataset_info; query_dataset accepts saved metrics only, not ad-hoc expressions. When no saved metric fits, compute the aggregate with execute_sql (route to preset-mcp-sqllab) instead of guessing metric names or stopping to ask.query_dataset for semantic-layer data results.create_virtual_dataset only when the user wants to save SQL as a chartable dataset.list_datasets, get_dataset_info.preset-mcp-data / query_dataset.create_virtual_dataset.preset-mcp-visualization.list_databases and get_database_info through discovery.page_size); paginate or refine the filter only when the target is not in the returned page.get_dataset_info call before data or chart workflows.