Gachi Data API — Japan Station & Accessibility Data (API · MCP · Open Datasets)
MCP serverAI & modelsThis integration gives your AI detailed data on Japanese train stations, including lesser-known ones, along with accessibility and hazard information, all in English. Once added, your AI can answer questions about stations across Japan without needing Japanese-language sources.
Use Gachi Data API — Japan Station & Accessibility Data (API · MCP · Open Datasets) in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Gachi Data API — Japan Station & Accessibility Data (API · MCP · Open Datasets) and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use Gachi Data API to ping
Needs your own account with this service. Keys stay in your vault.
Details
Available today. Use it from your connected AI after setup.
Add the integration, then ask your AI about any Japanese station, its accessibility, or hazards. It will pull the details and respond in English.
What your AI can do with it
- Look up details for Japanese train stations, including obscure ones
- Find accessibility information for specific stations
- Check hazard data for stations and locations in Japan
- Answer station questions in English instead of Japanese
Install Gachi Data API — Japan Station & Accessibility Data (API · MCP · Open Datasets)
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user gachi-data-api-japan-station-acc 'https://api.gachi-tokusuru.com/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://api.gachi-tokusuru.com/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=gachi-data-api-japan-station-acc&config=eyJ1cmwiOiJodHRwczovL2FwaS5nYWNoaS10b2t1c3VydS5jb20vbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://api.gachi-tokusuru.com/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add gachi-data-api-japan-station-acc --url 'https://api.gachi-tokusuru.com/mcp'Run it once, then sign in with codex mcp login gachi-data-api-japan-station-acc if the server asks for an account.
From the project's README
As published by eng213035/gachi-data-api in README.md.
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.
- 526 Tokyo stations — accessible / multipurpose toilets with floor, gender, equipment flags (wheelchair, ostomate, diaper table) and the nearest station exit (an original first-party value computed by spatial join — not in any raw dataset).
- 612 municipalities nationwide — public toilets with wheelchair / baby-seat / ostomate flags, address and coordinates.
- Free open datasets — Japan Station Master (entity-resolved, 9,145 stations nationwide) & Ridership 2000–2025, sharing one
station_id: https://github.com/eng213035/gachi-open-datasets (Zenodo DOI10.5281/zenodo.21199500).
Station names accept Japanese (新宿) or romaji (Shinjuku, Kita-Senju) for major stations.
Connect
- Endpoint:
https://api.gachi-tokusuru.com/mcp - Transport: Streamable HTTP (remote)
- Auth:
Authorization: Bearer <API_KEY>— free key at https://api.gachi-tokusuru.com
{
"mcpServers": {
"gachi-data": {
"url": "https://api.gachi-tokusuru.com/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
Tools
| Tool | Argument | Returns |
|---|---|---|
get_toilet_by_station | station (Japanese or romaji) | Accessible toilets in a Tokyo station, with nearest_exit |
get_public_toilet_by_city | city (Japanese) | Public toilets in a municipality (top 50 for large cities) |
get_station_hazard | station_name (Japanese or romaji) | Official MLIT hazard categories at a station (flood / liquefaction / storm-surge), relayed live, cached 14 days — no derived score. Landslide & tsunami are license-restricted (available:false + link to official maps). Not a substitute for official hazard maps. |
REST endpoints
GET /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 returnavailable:falsewith a link to the official hazard maps. Also available as the MCP toolget_station_hazard(station_name).station_idcomes 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.
Example
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"}}}'
Pricing
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.
Operational notes (internal)
- Subscription cancellation is not yet wired to key revocation (no Stripe webhook in this build). A cancelled subscriber's key keeps working until manually disabled. Reconcile monthly: compare Stripe's active subscriptions against issued
key:*records and disable keys for lapsed subscribers. Acustomer.subscription.deletedwebhook → auto-revoke is the next phase. - Plan detection in
/activateis by paid amount (AMOUNT_TO_PLAN: $19/$49/$149). If a new plan reuses an existing amount, add an explicit mapping.
Licensing (two layers — read carefully)
- Code in this repository: MIT (see LICENSE). Applies to the server code only.
- Data returned by the API is NOT MIT. Each value carries its source in the response
attribution. It is derived from:- Accessible & public toilets — Tokyo Metropolitan Government, Bureau of Social Welfare & BODIK municipal open data (CC BY 4.0): https://portal.data.metro.tokyo.lg.jp/ · https://www.bodik.jp/
- Station names & train service status — ODPT, Public Transportation Open Data Center (CC BY 4.0): https://developer.odpt.org/
- Hazard categories, future population, land price — MLIT 不動産情報ライブラリ (Real Estate Information Library), official values relayed as-is per request (not a government-created dataset): https://www.reinfolib.mlit.go.jp/
- River flood forecasts & landslide alerts — JMA (Japan Meteorological Agency, 気象庁), relayed as published, not warnings issued by this service: https://www.jma.go.jp/bosai/
- Housing vacancy & municipality codes — Statistics Bureau of Japan (住宅・土地統計調査) via e-Stat & MIC (総務省): https://www.stat.go.jp/data/jyutaku/
- Nationwide stations & bus stops — MLIT 国土数値情報 N02/P11; English station names partly via Wikidata (CC0): https://nlftp.mlit.go.jp/ksj/ · https://www.wikidata.org/
- Derived by gachi-tokusuru.com (distinct from the official values above):
nearest_exit,nearest_station_km, and bus-stop counts are computed via spatial join. - Attribution is returned in every API response. Timeliness, accuracy and completeness are not guaranteed.
Tools it offers (10)
What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.
pingget_municipality_contextget_station_contextget_toilet_by_stationget_public_toilet_by_cityget_station_hazardstation_searchget_active_alertsget_station_alertsget_train_status
Signals
- GitHub stars
- 1
- Last commit
- Aug 2026
Advanced
- Delivery
- japan-data-api MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
com-gachi-tokusuru-japan-data-api- Source
- github.com/eng213035/gachi-data-api
- Hosted endpoint
https://api.gachi-tokusuru.com/mcp
github.com/eng213035/gachi-data-api
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