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Health statistics for AI agents: life expectancy, causes of death, health spending, WHO data.

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Health Statistics MCP Server

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.

https://monit.ly/api/mcp/health

Tools

Tool What it does
search_catalog Find health datasets by topic, country and source.
inspect_dataset Check country coverage, dimensions and the latest values.
get_dataset Dataset metadata and period range.
get_series Time series for one country.

Example prompts

  • What is life expectancy in Japan compared with the EU average?
  • Show health expenditure as % of GDP in Germany over time.
  • How many hospital beds per 1,000 people does Poland have?

Authentication

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.

Setup

Claude (claude.ai, Desktop): Settings → Connectors → Add custom connector → paste the URL above.

Cursor / VS Code / Windsurf (mcp.json):

{
  "mcpServers": {
    "health-statistics": {
      "url": "https://monit.ly/api/mcp/health"
    }
  }
}

ChatGPT: Settings → Apps → Developer mode → Create → paste the URL.

About

Part of the Monitly MCP family. Full Monitly catalog (100,000+ datasets, all topics): https://monit.ly/api/mcp/public.

Questions: info@monit.ly

Gemini CLI

gemini extensions install https://github.com/ContentWriterco/Health-Statistics-MCP

No account or key needed.

Setup guides

Step-by-step setup guides for Claude, ChatGPT, Gemini, Grok, Le Chat, Perplexity, Cursor, VS Code and Claude Code: https://monit.ly/mcp/connect

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Health statistics for AI agents: life expectancy, causes of death, health spending, WHO data.

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