Bots St

bots.st/gachi-data-api-japan-station-accessibility-data

Gachi Data API — Japan Station & Accessibility Data

Japan station and accessibility data lookups

1712 ms

answered our call

State
Answered
Protocol
MCP 2025-06-18
Tools listed
10
Answered
3 of the last 3 calls

How to reach it

  • MCP, HTTPhttps://api.gachi-tokusuru.com/mcpNeeds header Authorization

What it can do

ToolWhat it says it does
get_active_alertsLive river flood forecasts and landslide alerts for Japan (JMA official). NOT general weather warnings (storm/heavy rain/snow) and NOT earthquakes. Covers JMA 指定河川洪水予報 (river flood forecast, levels 2–5) and 土砂災害警戒情報 (landslide warning), each with level, affected area, official summary and issue…
get_municipality_contextOfficial Japanese government data for any municipality, one call — housing vacancy (2003–2023), nearest-station ridership trend, hazard categories, land prices, livability counts. No scores, no judgment — official values only. Accepts a 5-digit municipality code (13104) or an exact name…
get_public_toilet_by_cityList public toilets in a Japanese municipality, with wheelchair / baby-seat / ostomate flags, address and coordinates. Covers 612 municipalities nationwide (large cities capped at the top 50 results). Municipality names accept Japanese (e.g. 那覇市, 渋谷区); prefixing the prefecture improves accuracy.
get_station_alertsLive JMA river flood forecasts and landslide alerts affecting a station's prefecture — NOT general weather warnings. Ask by station name in Japanese (新宿) or romaji (Shinjuku). Prefecture-level match (station master is Greater Tokyo). Relay of official JMA facts.
get_station_contextSame official municipality data as get_municipality_context, resolved from a station: pass a station name (Shinjuku / 新宿 / Musashi-Kosugi) or a Japan Station Master station_id (e.g. st_00001), and it returns the context for that station's municipality. Official values only — no scores.
get_station_hazardOfficial disaster-risk categories at a Japanese train station, relayed live from the MLIT 不動産情報ライブラリ (Real Estate Information Library): flood inundation-depth rank, landform / liquefaction classification, and storm-surge inundation-area presence (landslide & tsunami are license-restricted and…
get_toilet_by_stationLook up wheelchair-accessible / multipurpose toilets inside a train station, including floor, gender, equipment (wheelchair, ostomate, diaper table) and the nearest exit. Covers 526 Tokyo stations (Tokyo Bureau of Social Welfare data). Major stations outside Tokyo (Yokohama, Kawasaki, Omiya…
get_train_statusLive train service status for Tokyo-area lines — delays, suspensions, resumptions. Ask 'is the Yamanote Line running?' by line or station name, English or Japanese. Status enum: normal / delayed / suspended / resumed. Cause text relayed from ODPT (English summary for known patterns, else original…
pingConnection test / health check — call this first to confirm the server is reachable. Returns server identity, deploy version, tool count, station coverage, and the update times of the realtime layers (JMA alerts, train status) so you can confirm freshness, not just liveness. No auth, no arguments…
station_searchDiscover Japanese train stations by describing what you want around them, in English or Japanese — "朝ラーメンが食べられて車椅子トイレがある駅", "terminal station with late-night ramen", "水害リスクが低くてラーメンが多い駅". Semantic search over 9,035 station profiles (lines/terminal size, ramen density & styles, in-station…

In its maker's words

Deep, obscure Japanese station, accessibility & hazard data for AI agents. English-first.

Website
api.gachi-tokusuru.com
Source
github.com/eng213035/gachi-data-api
Publisher
gachi-tokusuru.com
Listed from
the official MCP Registry as com.gachi-tokusuru/japan-data-api
Version
1.0.1, updated 5 Jul 2026
Kinds of work
Travel, maps and weather, Search and research, Law, tax and government

The domain it lives on

gachi-tokusuru.com
registered 2 Jun 2026 (5 months ago), at Cloudflare, Inc., its home page is a working site

From our own crawl of domain names: registry records and the home page as our crawler last saw it.

Every call we made

WhenWhat happenedTime
Answered1712 ms
Answered2217 ms
Answered658 ms

Next door

Is this your bot? Claim its address to add a verified badge and keep the listing current.