gachi-data-api

endpoint

https://api.gachi-tokusuru.com/mcp

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is gachi-data-api live?

Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.

Is gachi-data-api free to use?

Yes — the hub reached it with no key and no payment.

What tools does gachi-data-api have?

10 tools: get_active_alerts, get_station_context, get_station_alerts, ping, get_municipality_context, get_station_hazard, get_toilet_by_station, get_public_toilet_by_city, ….

Is gachi-data-api safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• get_active_alerts reads open 5h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "area": {
        "type": "string",
        "description": "Optional prefecture code (01–47, e.g. 13 = Tokyo) or JMA forecast-area code."
      }
    }
  }

  arguments 9 lines copy
• get_station_context reads open 5h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "required": [],
    "properties": {
      "fields": {
        "type": "string",
        "description": "Optional comma-separated subset: vacancy,ridership,population,hazard,land_price,livability."
      },
      "station_id": {
        "type": "string",
        "description": "Japan Station Master station_id (e.g. st_00001). Alternative to station_name."
      },
      "station_name": {
        "type": "string",
        "description": "Station name in English/romaji (Shinjuku) or Japanese (新宿). Provide this or station_id."
      }
    }
  }

  arguments 18 lines copy
• get_station_alerts reads open 5h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "station_name"
    ],
    "properties": {
      "station_name": {
        "type": "string",
        "description": "Station name in Japanese (新宿) or romaji (Shinjuku)."
      }
    }
  }

  arguments 12 lines copy
• ping reads open 9h ago

  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.

  mcp-tool

  1234

  {
    "type": "object",
    "properties": {}
  }

  arguments 4 lines copy
• get_municipality_context reads open 16h ago

  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).

  mcp-tool

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  {
    "type": "object",
    "required": [
      "name_or_code"
    ],
    "properties": {
      "fields": {
        "type": "string",
        "description": "Optional comma-separated subset: vacancy,ridership,population,hazard,land_price,livability."
      },
      "name_or_code": {
        "type": "string",
        "description": "5-digit 全国地方公共団体コード (e.g. 13104) or exact municipality name (Shinjuku-ku / 新宿区)."
      }
    }
  }

  arguments 16 lines copy
• get_station_hazard reads open 16h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "station_name"
    ],
    "properties": {
      "station_name": {
        "type": "string",
        "description": "Station name in Japanese (新宿, 武蔵小杉) or romaji (Shinjuku, Musashi-Kosugi)."
      }
    }
  }

  arguments 12 lines copy
• get_toilet_by_station reads open 16h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "station"
    ],
    "properties": {
      "station": {
        "type": "string",
        "description": "Station name in Japanese (新宿, 渋谷) or romaji for major stations (Shinjuku, Shibuya, Kita-Senju)."
      }
    }
  }

  arguments 12 lines copy
• get_public_toilet_by_city reads open 12h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "city"
    ],
    "properties": {
      "city": {
        "type": "string",
        "description": "Municipality name in Japanese (e.g. 那覇市, 渋谷区, 上天草市). Prefix the prefecture for accuracy."
      }
    }
  }

  arguments 12 lines copy
• get_train_status reads open 12h ago

  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).

  mcp-tool

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  {
    "type": "object",
    "required": [
      "query"
    ],
    "properties": {
      "query": {
        "type": "string",
        "description": "Line or station name (English or Japanese), e.g. \"Yamanote\" or \"新宿\"."
      }
    }
  }

  arguments 12 lines copy
• station_search reads open 12h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "q"
    ],
    "properties": {
      "q": {
        "type": "string",
        "description": "Natural-language description of the station/area you want (ja/en). Concrete attribute words (朝ラー, wheelchair toilet, terminal, 水害リスク低) match best."
      },
      "pref": {
        "type": "string",
        "description": "Optional prefecture filter, Japanese (東京都, 千葉 OK) or romaji (tokyo/osaka). Auto-inferred from the query text when omitted."
      },
      "limit": {
        "type": "number",
        "description": "Max results (default 10; max 20, or 300 when name_contains is given — set limit >= name_matches_total for exhaustive name-match coverage)."
      },
      "diaper": {
        "type": "boolean",
        "description": "Require a diaper changing table in station toilets (auto-inferred from おむつ/子連れ…)."
      },
      "ramen_min": {
        "type": "number",
        "description": "Require at least this many ramen shops nearby (e.g. 30)."
      },
      "late_ramen": {
        "type": "boolean",
        "description": "Require late-night ramen nearby (auto-inferred from 深夜/late night…)."
      },
      "morning_ramen": {
        "type": "boolean",
        "description": "Require morning-ramen availability nearby (auto-inferred from 朝ラー/morning…)."
      },
      "name_contains": {
        "type": "string",
        "description": "Substring filter on the station name (matches both 日本語 name_ja and romaji name, e.g. \"谷\" or \"sakura\"). ANDs with other filters; q still ranks the matches. Use for \"stations whose name contains X\" requests that semantic search cannot guarantee."
      },
      "flood_rank_max": {
        "type": "number",
        "description": "Max official flood inundation-depth rank 0–6 (0 = no assumed inundation; auto-inferred from 水害リスク低/flood-safe…)."
      },
      "accessible_toilet_min": {
        "type": "number",
        "description": "Require at least this many in-station accessible toilets (Tokyo stations only; auto-inferred from 車椅子/wheelchair…)."
      }
    }
  }

  arguments 48 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.

Served from the same domain, which is what was measured. Not a claim that one owner runs them: ownership is what a passport proves, and each of these says for itself.

• ramen.gachi-tokusuru.com japan-ramen-active-master mcp · 5 tools