gabotorresruiz opened a new pull request, #44113:
URL: https://github.com/apache/superset/pull/44113
### SUMMARY
Adds a new MCP tool `get_dashboard_data` that returns compact, filter-aware
data across a dashboard's charts in a single call, so an AI agent can answer
analytical questions about a whole dashboard without fetching each chart
separately.
- Selects the dashboard's charts in layout reading order, so a bounded
selection covers the most prominent charts first.
- Reuses `get_chart_data`'s query and guest-authorization path: its body is
extracted into a shared, undecorated `execute_chart_data`, and `get_chart_data`
becomes a thin wrapper (behavior unchanged).
- Applies active dashboard filters per chart via `applied_filters` (keyed by
chart id), so answers reflect the filtered view.
- Returns a compact per-chart view: column names, a few sample rows, and row
counts. Bounded by `max_charts` plus a soft time budget so a large or slow
dashboard degrades gracefully instead of stalling; per-chart errors are
surfaced, not fatal.
- Guest-safe: built only on the `ChartDataCommand` path (no raw SQL), with
`raise_for_access` intact on both dashboard resolution and each chart query,
and added to `MCP_GUEST_ALLOWED_TOOLS`.
### BEFORE/AFTER SCREENSHOTS OR ANIMATED GIF
N/A (MCP tool, no UI).
### TESTING INSTRUCTIONS
- `pytest
tests/unit_tests/mcp_service/dashboard/tool/test_get_dashboard_data.py`
- Via an MCP client: `get_dashboard_data(request={"identifier": <dashboard
id>})` returns per-chart columns, sample rows, and counts in layout order,
bounded by `max_charts`.
### ADDITIONAL INFORMATION
- [ ] Has associated issue:
- [ ] Required feature flags:
- [ ] Changes UI
- [ ] Includes DB Migration (follow approval process in SIP-59)
- [x] Introduces new feature or API
- [ ] Removes existing feature or API
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