- DISCOVERY
- EXTRACTION
- ANALYSIS
- HUMAN
Short answer
How can I browse and structure health data with my AI?
Your AI uses the WHO Athena API to identify available health indicators and then pulls specific datasets based on the dimensions you choose, like country or year. You get structured data ready for comparison or reporting.
Data outcomes
Where your data lands
The AI processes the WHO API response into these specific results.
DISCOVERY
Available indicators
The AI identifies which health metrics are available for study. You get a clear list of what can be measured.
EXTRACTION
Structured datasets
Your agent pulls specific numbers for the countries and years you care about. The data arrives ready for analysis.
ANALYSIS
Trend identification
The AI compares different dimensions to find patterns. You get insights instead of just raw numbers.
HUMAN
Expert validation
The AI provides the data, but you decide if the findings make sense for your specific research. You remain the final judge of the data's context.
The workflow
What your AI does when the data arrives.
The AI handles the API calls so you can focus on the questions.
Map the data
The agent first looks at the available health dimensions to see what metrics are actually available to query.
list_health_dimensionsFilter by dimension
Once the metrics are known, the AI narrows the scope to specific countries, timeframes, or observation types.
list_health_dimensionsFetch the values
The agent pulls the actual numerical data for the selected indicators and dimensions.
get_health_indicator_dataSynthesize results
The AI organizes the retrieved data into a format that answers your specific question or comparison.
get_health_indicator_data
Try it
Copy these to start.
Use these prompts to kick off your research.
Starting points
Swap out the bracketed text for the specific countries or years you want to study.
WHO Athena Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_2G1uNXuOO1jgILFYwSkj025I7pnKPsN3rHeHzKJA/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — WHO Athena capabilities are ready to use.
{
"mcpServers": {
"who-athena-api-mcp": {
"url": "https://edge.vinkius.com/vk_preview_2G1uNXuOO1jgILFYwSkj025I7pnKPsN3rHeHzKJA/mcp"
}
}
}List all the available health dimensions I can query.
Get the data for life expectancy in [Country] for the years [Year Range].
Compare the [Indicator Name] between [Country A] and [Country B] over the last decade.
Show me the trend for [Indicator Name] in [Region] from 2010 to 2020.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect WHO Athena API once, then ask.
One click connects the API to your client. Your credentials stay encrypted and secure, and you can find the full technical details on the Connector page.
Connect WHO Athena API to your AIFAQ
How this task behaves
- 01
Can the AI change the data in the WHO database?
No. The tools only allow the AI to read and retrieve data. It cannot modify or delete any records.
- 02
Can the AI create new health indicators?
No. The AI can only access the indicators and dimensions that already exist within the WHO database.
- 03
Does the AI handle the data formatting?
Yes. The AI takes the raw data from the API and structures it into tables, lists, or summaries based on your request.
- 04
Can I use this with any AI client?
Yes, as long as your client is MCP-compatible, like Claude, Cursor, or Windsurf.
- 05
Will the AI tell me if a specific country isn't covered?
Yes. If the tool cannot find data for a requested country or year, the AI will report that the data is unavailable.
More questions about WHO Athena API? The Connector page answers them. See everything the WHO Athena API Connector can do
Connect WHO Athena to Claude, Cursor, ChatGPT & more
