# City Atlas 城市圖譜

> Greater Hsinchu, Taiwan open data on a 125 m grid: crashes, buses, schools, flood. Read-only.

- name: tw.cityatlas/cityatlas
- version: 0.3.1
- connection class: R0 (autonomous)
- trust: 83/100 flags: no-repository
- quality: 96/100 (strong)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/tw.cityatlas%2Fcityatlas
- tools: https://api.protogrid.dev/v1/servers/tw.cityatlas%2Fcityatlas/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "cityatlas": {
      "type": "http",
      "url": "https://mcp.cityatlas.tw/mcp"
    }
  }
}
```


## Trust

- hygiene: 80
- liveness: 100
- freshness: 100
- provenance: 55
- drivers: +dns-namespace +website +reachable +uptime-100% +updated-7d-ago -no-repository
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 96/100 (strong)

### protocol: 88 (weight 25)

- pass `protocol.modern`: supports 2026-07-28 (server/discover)
- pass `protocol.stateless`: answers without a session
- pass `protocol.transport`: streamable HTTP
- warn `protocol.list_ttl`: tools/list declares ttlMs 0, so clients re-fetch it on every use

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 100 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 10 of 10 tools declare readOnlyHint or destructiveHint
- pass `tools.directory_hints`: every tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
- pass `tools.token_cost`: about 2,147 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: 2 tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 10, about 2,147 tokens to load them all
- tool set hash: 4f907fc7536dfec3922936bb870cb118
- tools last changed: 2026-10-18T12:31:00.934Z
- badge: [![protogrid quality](https://protogrid.dev/badge/tw.cityatlas/cityatlas.svg)](https://protogrid.dev/servers/tw.cityatlas/cityatlas)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

- 2026-10-18 `compare_change` changed (description, inputSchema)
  - before: 兩個年份比,哪些里增加最多、減少最多(跟網站 07「看變化」同一套):里人口(107–114 年底,戶籍)、事故場數(111–114)、里所得中位數(111→112)、投票率(總統 / 立委不分區政黨票 / 立委區域 / 縣市長,年份照選舉目錄)。門檻自己填(增加幾人 / 件 / 萬元 / 個百分點以上才算增加很多);里界調整過、兩屆不是同一塊地的里不比、列出原因。只描述差多少,不做因果。Which neighbourhoods grew or shrank most between two years (population, crashes, income, turnout).
  - after: 兩個年份比,哪些里增加最多、減少最多(跟網站 07「看變化」同一套):里人口(97–114 年底,戶籍;97–106 只有新竹縣市、竹南、頭份,新設里設立前是估計、不拿來比)、事故場數(111–114)、里所得中位數(111→112)、投票率(總統 / 立委不分區政黨票 / 立委區域 / 縣市長,年份照選舉目錄)。門檻自己填(增加幾人 / 件 / 萬元 / 個百分點以上才算增加很多);里界調整過、兩屆不是同一塊地的里不比、列出原因。只描述差多少,不做因果。Which neighbourhoods grew or shrank most between two years (population, crashes, income, turnout).
- 2026-10-18 `search_catalog` changed (description)
  - before: 用關鍵字找城市圖譜的資料:11 大類 80 項資料,細到 159 條指標(139 條格網:事故、公車、人行道、淹水、樹…;20 條里 / 鄉鎮 / 縣市:里人口、長者與兒童、里所得…),加上 47 屆選舉與公投(投票率、得票率);公開版少 Google 街景判讀的 2 項 4 條,實際查得到 78 項、155 條:回代號、名稱、單位、年份、出處機關、是不是推估、涵蓋幾區。Search the indicator catalog by keyword (80 datasets in 11 categories, 159 indicators: 139 grid + 20 neighbourhood/district/county, plus 47 elections; this public server omits 4 Street-View-derived indicators, so 155 are searchable).
  - after: 用關鍵字找城市圖譜的資料:11 大類 82 項資料,細到 161 條指標(141 條格網:事故、公車、人行道、淹水、樹…;20 條里 / 鄉鎮 / 縣市:里人口、長者與兒童、里所得…),加上 47 屆選舉與公投(投票率、得票率);公開版少 Google 街景判讀的 2 項 4 條,實際查得到 80 項、157 條:回代號、名稱、單位、年份、出處機關、是不是推估、涵蓋幾區。Search the indicator catalog by keyword (82 datasets in 11 categories, 161 indicators: 141 grid + 20 neighbourhood/district/county, plus 47 elections; this public server omits 4 Street-View-derived indicators, so 157 are searchable).

Full history: https://api.protogrid.dev/v1/servers/tw.cityatlas%2Fcityatlas/changes

## Remotes

- https://mcp.cityatlas.tw/mcp (streamable-http, auth none, reachable true, uptime30d 1)

## Packages

_none_

## Tools (10)

- `compare_change`: 兩個年份比,哪些里增加最多、減少最多(跟網站 07「看變化」同一套):里人口(97–114 年底,戶籍;97–106 只有新竹縣市、竹南、頭份,新設里設立前是估計、不拿來比)、事故場數(111–114)、里所得中位數(111→112)、投票率(總統 / 立委不分區政黨票 / 立委區域 / 縣市長,年份照選舉目錄)。門檻自己填(增加幾人 / 件 / 萬元 / 個百分點以上才算增加很多);里界調整過、兩屆不是同一塊地的里不比、列出原因。只描述差多少,不做因果。Which neighbourhoods grew or shrank most between two years (population, crashes, income, turnout).
- `compare_groups`: 有 B 的格 vs 沒有 B 的格,A 差多少 —— 在居民 × 道路長度切成的 25 層裡各比一次(避免被市中心拉著走)。只描述,不做因果。Compare cells with vs without B, within strata of residents and road length.
- `describe_metric`: 一條資料的完整出處(機關、資料集、網址、取得日、檔案、對帳)、涵蓋哪些鄉鎮、統計、以及「可能在講別的事」的但書。Full provenance and caveats of one indicator.
- `filter_cells`: 找出同時符合最多四個條件的 125 公尺格,回符合幾格、住了多少人,並照里 / 鄉鎮加總。例:離公車站超過 500 公尺、又住超過 100 人。Find grid cells that meet up to four conditions.
- `lookup_place`: 給地址(例:竹北市光明六路 10 號)、里名(例:竹北市東平里)或鄉鎮名 → 那裡各項數字,以及在大新竹排第幾;查里名時另附里人口、所得、65 歲以上與 14 歲以下。地址只定位到 125 公尺的格(用我們自己的門牌檔比對,不送外部服務、不記錄)。Numbers for an address, neighbourhood or district.
- `need_ranking`: 哪裡最多人被公車耽誤(被耽誤的人·分鐘、工作地、學校、公設的百分位加權);權重可帶,不帶用預設 60/20/10/10。Where the most people lose time on public transport compared with driving.
- `overlay_metrics`: 兩條資料疊起來看:A(可換算)與 B 各切三等分成九宮格,回各格有幾個里 / 鄉鎮,並列出「兩樣都高」的。例:事故(每千居民)高、人行道少的里。Which places are high on two indicators at once.
- `rank`: 某條資料在里或鄉鎮排前幾名(跟網站 07 同一套算法:先加總再除、人少的地方往平均拉)。可換算每千居民 / 每公里道路 / 路 + 人 + 店(只有事故)/ 任何能當分母的代號;可只看某個鄉鎮、可加篩條件。只回前 N 名。里層資料(長者占比、里所得、選舉投票率…)一個里一個數,不能換算、單位只能是里(人數可加到鄉鎮)。沒編里的範圍不進排名。Rank neighbourhoods or districts by an indicator, optionally normalised.
- `search_catalog`: 用關鍵字找城市圖譜的資料:11 大類 82 項資料,細到 161 條指標(141 條格網:事故、公車、人行道、淹水、樹…;20 條里 / 鄉鎮 / 縣市:里人口、長者與兒童、里所得…),加上 47 屆選舉與公投(投票率、得票率);公開版少 Google 街景判讀的 2 項 4 條,實際查得到 80 項、157 條:回代號、名稱、單位、年份、出處機關、是不是推估、涵蓋幾區。Search the indicator catalog by keyword (82 datasets in 11 categories, 161 indicators: 141 grid + 20 neighbourhood/district/county, plus 47 elections; this public server omits 4 Street-View-derived indicators, so 157 are searchable).
- `show_map`: 把一條資料(或「需要度」)畫成里 / 鄉鎮的五級地圖,在對話裡直接顯示,可拖曳縮放、滑過看數字;換算同「排名」。畫不出來的 AI 會拿到一個能點開的網址(請轉給使用者)。Draw an indicator as an interactive choropleth map of neighbourhoods; chats that cannot render it get a link that opens the map in a browser (pass it on to the user).