City Atlas MCP 城市圖譜
Taiwan city data for Claude · 給 AI 用的台灣城市資料
City Atlas aligns 130+ indicators from Taiwan government open data and OpenStreetMap — traffic crashes, bus service, schools, flood risk, population and more — onto one 125 m grid covering 18 districts of Greater Hsinchu. This remote MCP server lets Claude query that grid and returns every number with its source, data date and caveats. The numbers are computed by the same code as the City Atlas website, not generated by the model.
城市圖譜把 130 多項政府開放資料與 OpenStreetMap 資料疊到同一張 125 公尺的格網(大新竹 18 個鄉鎮市區)。 接上這個 MCP,Claude 就能直接查,回答都附出處、資料日與但書;數字是跟網站同一套程式算的,不是模型猜的。
Connect · 怎麼接
Server URL · 網址:
https://mcp.cityatlas.tw/mcp
- Claude (web or desktop) → Customize → Connectors → Add custom connector.
claude.ai 網頁版或桌面版 → 左邊 Customize → Connectors → Add custom connector。 - Paste the URL above. Authentication: none.
貼上面的網址,不用登入。 - In a chat, open + → Connectors and turn on City Atlas.
對話左下 + → Connectors → 打開城市圖譜。
Claude Code: claude mcp add --transport http cityatlas https://mcp.cityatlas.tw/mcp
Try asking · 範例問句
- 竹北哪個里,行人事故每千人最多? — Which neighbourhood in Zhubei has the most pedestrian crashes per 1,000 residents?
- 竹北市光明六路 10 號附近,公車一天幾班?在大新竹排第幾?
- 需要度前 10 名的里是哪些? — Where would a new bus route help the most people?
- 事故多、人行道又少的里有哪些?
- 離公車站超過 500 公尺、又住很多人的格子在哪裡?
- 把竹北的行人事故(每千居民)畫成地圖。 — Map pedestrian crashes per 1,000 residents in Zhubei.
Map preview without Claude · 不用 Claude 先看地圖:https://mcp.cityatlas.tw/map?k=crash_ped4…
Tools · 工具(all read-only · 全部只能讀)
| Tool | 中文 | What it does |
|---|---|---|
search_catalog | 查資料目錄 | Find indicators by keyword (crashes, buses, sidewalks, flooding, trees…) |
describe_metric | 看資料說明 | Full provenance of one indicator: agency, dataset, URL, date, coverage, caveats |
rank | 排名 | Rank neighbourhoods (里) or districts by an indicator, optionally per 1,000 residents or per km of road |
lookup_place | 查某個地方 | Numbers for an address, neighbourhood or district, and where it ranks in Greater Hsinchu |
need_ranking | 需要度 | Where most people lose time on public transport compared with driving |
overlay_metrics | 兩樣疊 | Which places are high on two indicators at once (3×3 classes) |
compare_groups | 分組比 | Cells with vs without B, compared within 25 strata of residents × road length |
filter_cells | 篩條件 | 125 m cells that meet up to four conditions, and how many people live there |
show_map | 畫地圖 | Interactive choropleth map inside the conversation (MCP App): drag, zoom, hover for values |
Data · 資料
- Coverage: 18 districts of Greater Hsinchu (Hsinchu County, Hsinchu City and neighbours) on a 125 m grid, aggregated to 里 and 鄉鎮.
- Sources: Taiwan central and local government open data (Open Government Data License, version 1.0), OpenStreetMap (© OpenStreetMap contributors, ODbL), Overture Maps. Each tool result names the agency and dataset.
- Estimated indicators are marked as estimates. Districts without data are reported as “not collected”, never as zero.
- Rankings mean “worth looking at first”, not “most dangerous”. Results describe; they do not establish causes.
Contact · 聯絡
hello@cityatlas.tw · cityatlas.tw · Privacy · 隱私