Health Statistics
Health statistics for AI agents: life expectancy, causes of death, health spending, WHO data.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"health-statistics": {
"url": "https://monit.ly/api/mcp/health"
}
}
}Remote endpoints
https://monit.ly/api/mcp/healthstreamable-httpWhat it can do
Tool inventory
Tools (4)
🟢search_catalog(query, country, source_name, limit)
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.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "What to find, e.g. 'unemployment rate' or 'GDP per capita'."
},
"country": {
"type": "string",
"description": "Optional country name to prefer datasets covering it, e.g. 'Germany'."
},
"source_name": {
"type": "string",
"description": "Optional source, e.g. 'Eurostat', 'OECD', 'World Bank', 'IMF'."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 16,
"description": "Max results (default 8)."
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢inspect_dataset(id, country)
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.
Input Schema
{
"type": "object",
"properties": {
"id": {
"type": "integer",
"description": "Dataset id from search_catalog."
},
"country": {
"type": "string",
"description": "Optional country, e.g. 'France'."
}
},
"required": [
"id"
],
"additionalProperties": false
}🟢get_dataset(id)
Full metadata for one dataset: description, source, period range, dimension labels, default view and covered countries.
Input Schema
{
"type": "object",
"properties": {
"id": {
"type": "integer",
"description": "Dataset id from search_catalog."
}
},
"required": [
"id"
],
"additionalProperties": false
}🟢get_series(id, country, dim1, dim2, dim3, ...)
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.
Input Schema
{
"type": "object",
"properties": {
"id": {
"type": "integer",
"description": "Dataset id from search_catalog."
},
"country": {
"type": "string",
"description": "Country, e.g. 'Poland'. Defaults to the dataset's default country."
},
"dim1": {
"type": "string",
"description": "Optional exact value of dimension 1."
},
"dim2": {
"type": "string",
"description": "Optional exact value of dimension 2."
},
"dim3": {
"type": "string",
"description": "Optional exact value of dimension 3."
},
"dim4": {
"type": "string",
"description": "Optional exact value of dimension 4."
},
"period_from": {
"type": "string",
"description": "Optional first period to include, e.g. '2015'."
},
"max_points": {
"type": "integer",
"minimum": 1,
"maximum": 500,
"description": "Max points, most recent kept (default 200)."
}
},
"required": [
"id"
],
"additionalProperties": false
}Community
Evidence