io.github.ContentWriterco由 GitHub 帳號 ContentWriterco 發布v1.0.0更新於 Oct 24, 2026
Health statistics for AI agents: life expectancy, causes of death, health spending, WHO data.
遠端唯讀 MCP 伺服器，讓助理查找官方健康資料集並取得各國時間序列，例如平均餘命或醫療支出。
Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.ContentWriterco%2Fhealth-statistics/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"health-statistics": {
"type": "http",
"url": "https://monit.ly/api/mcp/health"
}
}
}Life expectancy, causes of death, health spending, healthcare resources and population health from WHO, Eurostat, OECD and the World Bank.
Remote MCP server (Streamable HTTP), read-only, hosted by Monitly.
No account or key is needed. A fair-use daily limit applies; for higher volumes use the keyed Monitly MCP at https://monit.ly/mcp-docs.
Claude (claude.ai, Desktop): Settings → Connectors → Add custom connector → paste the URL above.
Cursor / VS Code / Windsurf (mcp.json):
ChatGPT: Settings → Apps → Developer mode → Create → paste the URL.
Part of the Monitly MCP family. Full Monitly catalog (100,000+ datasets, all topics): https://monit.ly/api/mcp/public.
Questions: [email protected]
No account or key needed.
Step-by-step setup guides for Claude, ChatGPT, Gemini, Grok, Le Chat, Perplexity, Cursor, VS Code and Claude Code: https://monit.ly/mcp/connect
來源：README.md，提交 64ab618
Search health statistics
Find official health datasets (Eurostat, OECD, World Bank, IMF, WHO, national statistics offices). Use first to get dataset ids. Optional country and source filters. Returns dataset cards, not values.
limitquery必填countrysource_nameInspect dataset
Show one dataset's dimensions, default series and the latest few values for a country. Use after search_catalog to check the dataset fits before pulling the full series.
id必填countryGet dataset metadata
Full metadata for one dataset: description, source, period range, dimension labels, default view and covered countries.
id必填Get time series
Time series values for one country from a dataset (oldest first). Optionally pick a series by exact dimension values (from inspect_dataset) and a start period such as 2015, Q1/2015 or 01/2015.
id必填dim1dim2dim3dim4countrymax_pointsperiod_from已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
https://monit.ly/api/mcp/health{ "mcpServers": { "health-statistics": { "url": "https://monit.ly/api/mcp/health" } }}gemini extensions install https://github.com/ContentWriterco/Health-Statistics-MCP