Dojazdomat

Warsaw commute times and rent medians: rank neighborhoods for an office (transit, bike, walk, car).

我该使用它吗

质量与安全性

A
描述质量
96%
模式完整度
80%
命名质量
84%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,454token 数(工具定义)
~2.2 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.14%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "dojazdomat": {
      "url": "https://dojazdomat.sapcorp.eu/mcp"
    }
  }
}

远程端点

https://dojazdomat.sapcorp.eu/mcpstreamable-http

它能做什么

工具清单

工具(5)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢find_place(query, limit)

Find transit stop groups and neighborhoods by name and get their lat/lon (znajdz przystanek lub osiedle po nazwie). Use the coordinates as input for the other tools.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Name fragment, e.g. 'Kabaty', 'Rondo ONZ', 'Mokotow'. Diacritics optional.",
      "maxLength": 60,
      "minLength": 2,
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "maximum": 25,
      "minimum": 1,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "find_placeArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "find_placeDictOutput"
}
⚪commute_time(from_lat, from_lon, to_lat, to_lon)

Door-to-door minutes by public transport plus walking, weekday morning 7-9 average, same model as the Dojazdomat map (czas dojazdu komunikacja miejska + pieszo, usredniony dla dni roboczych 7-9). Also lists nearest stops at both ends. minutes is null when the destination is unreachable (over ~2 h).

输入模式

{
  "type": "object",
  "properties": {
    "from_lat": {
      "description": "Latitude, WGS84, 51.98-52.48 (Warszawa and commuter belt)",
      "maximum": 52.48,
      "minimum": 51.98,
      "title": "From Lat",
      "type": "number"
    },
    "from_lon": {
      "description": "Longitude, WGS84, 20.62-21.48 (Warszawa and commuter belt)",
      "maximum": 21.48,
      "minimum": 20.62,
      "title": "From Lon",
      "type": "number"
    },
    "to_lat": {
      "description": "Latitude, WGS84, 51.98-52.48 (Warszawa and commuter belt)",
      "maximum": 52.48,
      "minimum": 51.98,
      "title": "To Lat",
      "type": "number"
    },
    "to_lon": {
      "description": "Longitude, WGS84, 20.62-21.48 (Warszawa and commuter belt)",
      "maximum": 21.48,
      "minimum": 20.62,
      "title": "To Lon",
      "type": "number"
    }
  },
  "required": [
    "from_lat",
    "from_lon",
    "to_lat",
    "to_lon"
  ],
  "title": "commute_timeArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "commute_timeDictOutput"
}
⚪rent_stats(lat, lon, radius_m, rooms, min_area, ...)

Asking-rent statistics (n, median, p25, p75) of rental ads within radius_m of a point (statystyki cen najmu w promieniu). Aggregates only; if fewer than 5 ads match, the result is suppressed (widen radius or relax filters).

输入模式

{
  "type": "object",
  "properties": {
    "lat": {
      "description": "Latitude, WGS84, 51.98-52.48 (Warszawa and commuter belt)",
      "maximum": 52.48,
      "minimum": 51.98,
      "title": "Lat",
      "type": "number"
    },
    "lon": {
      "description": "Longitude, WGS84, 20.62-21.48 (Warszawa and commuter belt)",
      "maximum": 21.48,
      "minimum": 20.62,
      "title": "Lon",
      "type": "number"
    },
    "radius_m": {
      "default": 800,
      "description": "Radius in metres, 200-5000",
      "maximum": 5000,
      "minimum": 200,
      "title": "Radius M",
      "type": "integer"
    },
    "rooms": {
      "anyOf": [
        {
          "maximum": 4,
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Rooms 1-4 (4 = 4+); omit for any / liczba pokoi",
      "title": "Rooms"
    },
    "min_area": {
      "anyOf": [
        {
          "maximum": 1000,
          "minimum": 0,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Min area m2",
      "title": "Min Area"
    },
    "max_area": {
      "anyOf": [
        {
          "maximum": 1000,
          "minimum": 0,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Max area m2",
      "title": "Max Area"
    },
    "measure": {
      "default": "total",
      "description": "'total' PLN/month or 'per_m2' PLN/m2/month",
      "enum": [
        "total",
        "per_m2"
      ],
      "title": "Measure",
      "type": "string"
    }
  },
  "required": [
    "lat",
    "lon"
  ],
  "title": "rent_statsArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "rent_statsDictOutput"
}
⚪rank_neighborhoods(office_lat, office_lon, max_commute_min, max_rent, rooms, ...)

Rank Warsaw neighborhoods for a workplace: median rent, commute minutes, value score (rent vs typical rent in the same commute band, like the map) and Pareto flag (no neighborhood both faster and cheaper) (ranking osiedli: czynsz, dojazd, wartosc, front Pareto). Neighborhoods with fewer than 10 ads are skipped. Sorted by value score.

输入模式

{
  "type": "object",
  "properties": {
    "office_lat": {
      "description": "Latitude, WGS84, 51.98-52.48 (Warszawa and commuter belt)",
      "maximum": 52.48,
      "minimum": 51.98,
      "title": "Office Lat",
      "type": "number"
    },
    "office_lon": {
      "description": "Longitude, WGS84, 20.62-21.48 (Warszawa and commuter belt)",
      "maximum": 21.48,
      "minimum": 20.62,
      "title": "Office Lon",
      "type": "number"
    },
    "max_commute_min": {
      "anyOf": [
        {
          "maximum": 120,
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Max commute minutes",
      "title": "Max Commute Min"
    },
    "max_rent": {
      "anyOf": [
        {
          "exclusiveMinimum": 0,
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Max neighborhood median rent (PLN, or PLN/m2 if measure=per_m2)",
      "title": "Max Rent"
    },
    "rooms": {
      "anyOf": [
        {
          "maximum": 4,
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Rooms 1-4 (4 = 4+); omit for any / liczba pokoi",
      "title": "Rooms"
    },
    "measure": {
      "default": "total",
      "description": "'total' PLN/month or 'per_m2' PLN/m2/month",
      "enum": [
        "total",
        "per_m2"
      ],
      "title": "Measure",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "maximum": 50,
      "minimum": 1,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "office_lat",
    "office_lon"
  ],
  "title": "rank_neighborhoodsArguments"
}

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "rank_neighborhoodsDictOutput"
}
⚪dataset_info

Data dates, sources, listing counts per portal, method notes and caveats (zrodla, daty, ograniczenia danych).

输入模式

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

输出模式

{
  "type": "object",
  "additionalProperties": true,
  "title": "dataset_infoDictOutput"
}

社区

评价此服务器

证据

最近观测

已验证未记录版本5 个工具