About Health Statistics
Health Statistics is a read-only remote MCP server hosted by Monitly for agents and clients seeking official health data. It supports dataset discovery, metadata inspection, and country-level time series from sources including WHO, Eurostat, OECD, and the World Bank.
Key features
- 01Search datasets by topic and country
- 02Inspect coverage and latest values
- 03Retrieve dataset metadata and date range
- 04Get country-level time series
Use cases
- 01Compare life expectancy across regions
- 02Track health spending over time
- 03Check hospital-bed availability by country
MCP support
The remote MCP server uses Streamable HTTP and exposes tools for searching, inspecting, and retrieving health datasets and time series.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://monit.ly/api/mcp/healthclaude mcp add --transport http contentwriterco-health-statistics https://monit.ly/api/mcp/health{"mcpServers":{"contentwriterco-health-statistics":{"type":"http","url":"https://monit.ly/api/mcp/health"}}}Open in Cursor{"servers":{"contentwriterco-health-statistics":{"type":"http","url":"https://monit.ly/api/mcp/health"}}}Open in VS Code{"mcpServers":{"contentwriterco-health-statistics":{"type":"http","url":"https://monit.ly/api/mcp/health"}}}{"mcpServers":{"contentwriterco-health-statistics":{"serverUrl":"https://monit.ly/api/mcp/health"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
4| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | integer | No | Max results (default 8). |
| query | string | Yes | What to find, e.g. 'unemployment rate' or 'GDP per capita'. |
| country | string | No | Optional country name to prefer datasets covering it, e.g. 'Germany'. |
| source_name | string | No | Optional source, e.g. 'Eurostat', 'OECD', 'World Bank', 'IMF'. |
Details
From the project READMEHealth 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: [email protected]
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
Comments
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