A
licenseNot graded
qualityB
maintenanceEnables natural-language queries about US K-12 public schools, districts, per-pupil funding and spending, and child poverty estimates from keyless federal data.
39 npm
MIT
No user-submitted related servers found.
Scored across 5 tools
Each tool has a clearly distinct purpose: dataset stats, direct lookup by ID, listing divisions, listing regions, and flexible search. No overlaps.
Tools use snake_case with a verb_noun pattern (get_school_by_beis_id, list_divisions, etc.), except dataset_stats which is noun_noun. Minor deviation but still readable and consistent in style.
Five tools is well-scoped for a schools data query server. Each tool covers a core operation without unnecessary clutter.
The set covers key query needs: search, direct lookup, region/division lists, and stats. Minor gaps like filtering by municipality directly are covered by search.