How to Use the WHO Athena API MCP in Google ADK

Q: What if I need to check connectivity?

Running checkapistatus is the first step. It confirms that the WHO GHO Athena service is active, ensuring your agent doesn't waste time trying to connect to a downed endpoint.

Q: Can I list all possible dimensions?

Yes, use listhealthdimensions. This provides a structured list of observation dimensions (like year or country) that you can then map and filter within your Google Cloud pipeline.

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Connect WHO Athena API MCP to Google ADK

Create your Vinkius account to connect WHO Athena API to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup WHO Athena API with Google ADK

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Catalog all WHO indicators for BigQuery.

The `list_health_indicators` tool lets your agent pull the full catalog of available health data points. This is crucial when you're feeding structured knowledge into a long-context Gemini model. It provides an initial list so that your subsequent processing steps—which might involve BigQuery joins—know exactly what variables they need to look for.

Identify required data dimensions.

To properly analyze a dataset, you first need to know the axes. `list_health_dimensions` shows every possible dimension, like country or year. This helps your agent build complex, multi-faceted queries. The Gemini model uses this structured input to maintain context over millions of tokens while planning its next action.

Run data pulls using long context.

You use `get_health_indicator_data` when you need the actual numbers. The tool requires specific indicator codes and dimensions, which your agent gathers first. The resulting data is then fed into Gemini's massive context window for deep reasoning that goes way beyond simple lookups.

Setup guide

Set up WHO Athena API MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with WHO Athena API tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="WHO Athena API_agent",
    model="gemini-2.0-flash",
    instruction="You have access to WHO Athena API tools via MCP.",
    tools=mcp_tools,
)

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Common questions about WHO Athena API MCP in Google ADK

The Google ADK allows your agent to treat the MCP Server as a native toolset within its environment. This means it can seamlessly pass data retrieved from `get_health_indicator_data` directly into BigQuery for analysis.

Running `check_api_status` is the first step. It confirms that the WHO GHO Athena service is active, ensuring your agent doesn't waste time trying to connect to a downed endpoint.

Yes, use `list_health_dimensions`. This provides a structured list of observation dimensions (like year or country) that you can then map and filter within your Google Cloud pipeline.

Since the framework is designed for enterprise agents, data flow is managed through Google infrastructure. This keeps your complex analytical processes structured and auditable.

The server touches global health indicator data. When building agents with the Google ADK, you control exactly which time series or single data points are passed into your long-context reasoning.

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