Election Atlas

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.TaltonFiggins/election-atlas and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 6 Nov 2026. Not supplied by the maker.

• search_geographies

  Find geographies by name, e.g. 'Essex County', 'Newark ward 5', 'Toronto Centre'. country: 'US' or 'CA'. level: one of the levels from coverage_summary (e.g. 'county', 'precinct', 'congressio

• get_geography

  Full record for one geography: attributes, parent chain up to the country, child counts by level, and the source it came from (licence, vintage, last fetched).

• related_geographies

  Links between geographies that overlap without nesting, with population shares. Districts: for a precinct, county, town, city (place) or ZIP, the congressional, state senate and state house d

• list_children

  Geographies directly under `id` (state -> counties and districts, county -> precincts and towns, province -> ridings). Filter with `level`; page with limit/offset (max 1000).

• list_geographies

  Every geography at one level, optionally within one state/province, e.g. all congressional districts in 'NJ' or all federal ridings in 'ON'. Page with limit/offset (max 1000).

• nearest_geographies

  Geographies at `level` whose internal point is closest to (lat, lon). This is a nearest-point approximation, not point-in-polygon. To find the geography containing a point, use locate_point.

• data_freshness

  When each upstream dataset was last fetched and checked, what period it describes (vintage), how often it is re-checked, and whether it is overdue. Includes the recent refresh history.

• coverage_summary

  What's in the atlas: row counts by country and level, with the vintage of each layer.