com.gachi-tokusuruPublished by gachi-tokusuru.comOfficial publisherv1.0.1Updated Oct 24, 2026
Deep, obscure Japanese station, accessibility & hazard data for AI agents. English-first.
A hosted MCP endpoint giving assistants official Japanese station, accessibility, hazard and live alert data, queried in English or Japanese.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.gachi-tokusuru%2Fjapan-data-api/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"gachi-data-api-japan-station-accessibili": {
"type": "http",
"url": "https://api.gachi-tokusuru.com/mcp",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}This is a hosted service. You do NOT self-host it. Get a free API key at https://api.gachi-tokusuru.com and connect to the remote endpoint below. The source in this repo is published for transparency; the data lives in the hosted backend, so a local clone will not return data.
Deep, obscure Japanese data you won't find anywhere else — stations, accessibility, vacancy, hazards. Hand-verified, English-first, built for AI agents. Available as an MCP server, a REST API, and free open datasets. One key works for both the API and MCP.
station_id: https://github.com/eng213035/gachi-open-datasets (Zenodo DOI 10.5281/zenodo.21199500).Station names accept Japanese (新宿) or romaji (Shinjuku, Kita-Senju) for major stations.
https://api.gachi-tokusuru.com/mcpAuthorization: Bearer <API_KEY> — free key at https://api.gachi-tokusuru.comGET /v1/station-toilets/search?station=Shinjuku — accessible toilets in a Tokyo stationGET /v1/toilets/nearby?lat=&lng=&radius=&wheelchair=&ostomate=&diaper= — public toilets near a pointGET /v1/stations/{station_id}/hazard — official MLIT hazard categories at a station, relayed live (flood inundation-depth rank, liquefaction/landform, storm-surge presence). Values are returned verbatim from 国土交通省 不動産情報ライブラリ with attribution, cached 14 days — no derived score, and not a substitute for official hazard maps. Landslide & tsunami source layers are 一部非商用 (license-restricted), so they return available:false with a link to the official hazard maps. Also available as the MCP tool get_station_hazard(station_name). station_id comes from the Japan Station Master (e.g. st_00001); 423 of 425 stations have coordinates (2 remain unlocated → hazard: null).All endpoints use the same Authorization: Bearer <key> and share one monthly quota. Full spec: /openapi.yaml, docs: /docs.
Free 1k · Pro $19/100k · All Access $49/200k · Business $149/500k. Full details: https://api.gachi-tokusuru.com
Paid plans are self-serve: after Stripe checkout the customer is redirected to /activate?session_id=…, which verifies payment, resolves the plan from the paid amount, and issues the API key on the page (idempotent per session — reload shows the same key). No manual key handling.
key:* records and disable keys for lapsed subscribers. A customer.subscription.deleted webhook → auto-revoke is the next phase./activate is by paid amount (AMOUNT_TO_PLAN: $19/$49/$149). If a new plan reuses an existing amount, add an explicit mapping.attribution. It is derived from:
nearest_exit, nearest_station_km, and bus-stop counts are computed via spatial join.Source: README.md at commit 8857b5c
Connection test / health check
Connection 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, lightweight.
Takes no parameters.
Municipality context (official data)
Official 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 (Shinjuku-ku / 新宿区).
fieldsname_or_coderequiredStation-area context (official data)
Same 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.
fieldsstation_idstation_nameAccessible toilets in a station
Look 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, Chiba, Fujisawa, Shin-Yokohama…) return an in-station layer that groups accessible toilets by ticket gate — inside vs outside — per railway operator. Accepts Japanese (新宿, 横浜) or romaji (Shinjuku, Yokohama) for major stations.
stationrequiredPublic toilets in a city
List 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.
cityrequiredStation disaster-risk (official)
Official 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 return available:false with a link to the official maps). Returns the official values/categories as-is — no composite score, no judgment. Accepts a station name in Japanese (新宿, 武蔵小杉) or romaji (Shinjuku, Musashi-Kosugi). For research/analytics; NOT a substitute for official government hazard maps or evacuation decisions.
station_namerequiredStation discovery (semantic + filters)
Discover 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 accessible-toilet equipment, official hazard categories, ridership) with hybrid metadata filters — the filters guarantee the constraint, the embedding ranks by fit. Filter intent in the query text (朝ラー/深夜/おむつ/車椅子/水害リスク低…) is auto-applied (filter_source: inferred); explicit params win. Water-hazard intent (水害/洪水/浸水/高潮…リスク低) expands to flood rank AND storm-surge zone; 液状化/地盤 intent filters on the official liquefaction-tendency category; results carry risk_notes when other official hazard categories are high. Inferred facility filters with partial data coverage (おむつ/車椅子 — Tokyo-only data) BOOST confirmed stations instead of excluding unknowns (see soft_filters); explicit params remain strict. Taste/quality words (うまい, "good food", delicious…) are not evaluated (no review data); ramen ranking reflects shop density and style variety only. name_contains gives exact substring matching on station names (日本語/romaji) when the name itself is the requirement. Coverage notes: toilet stats = Tokyo stations only; ridership = Greater Tokyo operators only; hazard = official MLIT categories relayed as-is, NOT a safety judgment. Role split: station_search finds candidate stations — then get_toilet_by_station / search_ramen / get_station_hazard / get_station_context for detail on one station.
qrequiredpreflimitdiaperramen_minlate_ramenmorning_ramenname_containsflood_rank_maxaccessible_toilet_minLive JMA flood/landslide alerts
Live 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 time. Optional `area` filters by 2-digit prefecture code (e.g. 13 = Tokyo) or a JMA forecast-area code. Relay of official facts — not a warning issued by this service, not a life-safety system.
areaLive JMA alerts near a station
Live 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.
station_namerequiredLive Tokyo-area train status
Live 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 text + null). Data via ODPT (CC BY 4.0).
queryrequired90% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Declare a license in the repository or the registry entry.
{ "mcpServers": { "gachi-data": { "url": "https://api.gachi-tokusuru.com/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } }}curl -X POST https://api.gachi-tokusuru.com/mcp \ -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call", "params":{"name":"get_toilet_by_station","arguments":{"station":"Shinjuku"}}}'