Der Georgia Civic Data MCP-Server,
verbunden mit einem Klick.

list_datasets — Enumerate every approved Georgia dataset (topic) and the shared dimensions. Each topic entry is a LEAN summary — name/keys, year coverage (y

search_datasets — Keyword search over the catalog metadata (topic names, descriptions, tags, AND column names/descriptions) — the discovery entry point when y

describe_dataset — Full schema for one topic: every column (name/type/role/unit/value range/null-meaning), the exact `filters` list with enum values (read this

query_dataset — Query one topic's gold facts with dimension labels joined in (the district/school/county/demographic names come back on every row). `filters

distinct_values — List the distinct values of ONE filterable column of a topic — the fast way to learn valid filter values before query_dataset, especially fo

aggregate — Compute a grouped aggregate over one topic — the aggregation-first path. `agg` is one of avg/sum/min/max/count/weighted_rate; `metric` is a

resolve_entity — Resolve a place or demographic NAME or CODE to its stable keys + labels — the right way to turn 'Atlanta Public Schools' / 'Fulton' / a raw

describe_dimension — Schema for one dimension (districts / schools / counties / demographics): the (possibly composite) primary key, the attribute columns a join