io.github.ContentWriterco由 GitHub 账号 ContentWriterco 发布v1.0.0更新于 Oct 24, 2026
Health statistics for AI agents: life expectancy, causes of death, health spending, WHO data.
远程只读 MCP 服务器，让助手查找官方健康数据集并获取各国时间序列，如预期寿命或卫生支出。
Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.ContentWriterco%2Fhealth-statistics/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"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
来源：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已满足适用检查项的 100%
该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。
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