gachi-ramen

62,144 active ramen shops across all 47 prefectures of Japan.

Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeRead-only

What it can do

  • Search Ramen: Search a nationwide Japanese ramen-shop database (62,000+ shops, all 47 prefectures) with a verifiable freshness layer: monthly source checks, closure candidates, and web-verified closur
  • Get Ramen Shop: Fetch one ramen shop by its stable id (rk_000001 style) — full record incl. address, coordinates, ramen style (keito), nearest station (Japan Station Master st_xxxx id + distance), tri
  • Get Ramen Changes: Monthly change feed for the ramen DB — new shops, closure candidates (missing from the monthly web source 2 consecutive checks or marked disused/closed), web-verified closures (clos

What data it sees

Do you need an account

No: the server works without sign-in

62,144 active ramen shops across all 47 prefectures of Japan. Names verified by dual-AI audit (26,975 romanization fixes). Re-verified monthly, closures web-confirmed with evidence URLs, and every response is stamped with data_as_of so you can always check exactly how current the data is. No auth, no signup — just connect and ask.

Try asking:

  • "Is there a ramen shop on Iriomote Island?" (yes — two, actually)
  • "Northernmost ramen shop in Japan?" (a diner literally named "Northernmost", Cape Soya, 45.5°N)
  • "How many Ramen Shop franchise locations in Saitama?" (47)
  • "Find tonkotsu ramen near Ebisu station"

How to connect

How to connect gachi-ramen to Claude

The server address to paste into Claude settings:

https://gachi-ramen--eng213035.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect gachi-ramen to ChatGPT

The server address to paste into ChatGPT settings:

https://gachi-ramen--eng213035.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect gachi-ramen to Cursor

The server address to paste into Cursor settings:

https://gachi-ramen--eng213035.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (3)

Raw names from tools/list. Only developers need these.

search_ramenSearch a nationwide Japanese ramen-shop database (62,000+ shops, all 47 prefectures) with a verifiable freshness layer: monthly source checks, closure candidates, and web-verified closures with evidence URLs. English-first: shop names and places are searchable in Japanese OR romaji. To answer "is there a ramen shop called X?", pass q alone — it searches NATIONWIDE by name (e.g. q=一蘭 or q=ichiran, no prefecture needed). Or filter by prefecture (東京都/大阪府/〇〇県 or romaji tokyo/osaka/saitama), city (松戸市 or romaji kawaguchi), ramen style (keito), status (active/closed_candidate/closed_confirmed), or search near a coordinate (lat/lng + radius up to 5 km). Facts only — no rankings, no reviews. Payment/midnight fields are tri-state (true/false/null=unknown).
get_ramen_shopFetch one ramen shop by its stable id (rk_000001 style) — full record incl. address, coordinates, ramen style (keito), nearest station (Japan Station Master st_xxxx id + distance), tri-state payment facts, and the freshness block (first_seen/last_seen/status/closure evidence URL). No id? Pass name + pref instead and the best match is returned.
get_ramen_changesMonthly change feed for the ramen DB — new shops, closure candidates (missing from the monthly web source 2 consecutive checks or marked disused/closed), web-verified closures (closed_confirmed, with evidence URL) and reopenings. This is the freshness signal you cannot cache: poll it to keep a local copy honest. Optional since (YYYY-MM-DD) returns only events on/after that date.