io.github.ContentWriterco/health-statistics — Model Context Protocol (MCP) Server

The MCP server io.github.ContentWriterco/health-statistics provides health statistics for AI agents, covering life expectancy, causes of death, and health spending, along with WHO data. It is intended to supply structured health-related information for downstream agent use cases where these categories are relevant.

🛠️ Key Features

Health statistics for AI agents
Life expectancy data
Causes of death data
Health spending data
WHO data coverage

🚀 Use Cases

Agent workflows requiring demographic health metrics
Analysis pipelines that compare causes of death
Retrieval of health spending figures for health-related reasoning
Agent responses grounded in WHO-sourced health information

⚡ Developer Benefits

Clear topical scope: life expectancy, causes of death, health spending, WHO data
Compatible with MCP-based integrations for agent context retrieval

⚠️ Limitations

Available details do not specify supported tools, query methods, or data schemas

{ "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 }

{ "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 }

{ "type": "object", "properties": { "id": { "type": "integer", "description": "Dataset id from search_catalog." } }, "required": [ "id" ], "additionalProperties": false }

{ "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 }

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.

Setup

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

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

json

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

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

Install

Tools (4)

search_cataloginspect_datasetget_datasetget_series

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

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

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "health-statistics": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://monit.ly/api/mcp/health"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

Health Statistics

io.github.ContentWriterco/health-statistics — Model Context Protocol (MCP) Server

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

search_catalog

inspect_dataset

get_dataset

get_series

Health Statistics MCP Server

Tools

Example prompts

Authentication

Setup

About

Gemini CLI

Setup guides

Install

Remote endpoint

Related servers

query	string	required	What to find, e.g. 'unemployment rate' or 'GDP per capita'.
country	string	optional	Optional country name to prefer datasets covering it, e.g. 'Germany'.
source_name	string	optional	Optional source, e.g. 'Eurostat', 'OECD', 'World Bank', 'IMF'.
limit	integer	optional	Max results (default 8).

id	integer	required	Dataset id from search_catalog.
country	string	optional	Optional country, e.g. 'France'.