How to Use the HealthData.gov (HHS Open Data) MCP in Google ADK

Q: How do I connect the HealthData.gov (HHS Open Data) server to Google ADK?

Install the SDK using pip install google-adk. Initialize the toolset using McpToolset with your Vinkius HTTP endpoint, and pass it to your LlmAgent in the tools list.

Run deep Socrata queries on federal health data using Google ADK and Gemini's million-token context window.

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Connect HealthData.gov (HHS Open Data) MCP to Google ADK

Create your Vinkius account to connect HealthData.gov (HHS Open Data) 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 HealthData.gov (HHS Open Data) with Google ADK

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Search the federal data catalog within Google ADK

The `get_catalog` tool allows your Gemini-powered agent to search the entire HealthData.gov directory for relevant data sources. Your agent can look up keywords like COVID-19 or Medicare and instantly receive matching dataset IDs and metadata. Because Google ADK supports massive context windows, your agent can ingest extensive catalog metadata from this MCP tool to make highly informed decisions about which dataset to query next. This setup eliminates manual dataset tracking on Google Cloud.

Run complex SoQL queries directly from your agent

The `query_dataset` tool gives your agent the power to execute raw SoQL queries against target HHS datasets. This allows you to filter, group, and aggregate public health records before loading them into your application. This MCP Server handles the connection to the HHS API, so your agent only needs to output the query parameters. You can easily feed these query results directly into BigQuery or Vertex AI for further downstream analysis.

Build enterprise-grade pipelines on Google Cloud

Both `get_catalog` and `query_dataset` integrate with your Google ADK agent to automate complex public health data pipelines. You can deploy agents that monitor hospital capacity metrics weekly and trigger alerts based on specific trends. By combining federal health data with Gemini's reasoning capabilities, you can build reliable enterprise workflows. The agent handles the API mechanics, leaving your developers to focus on core data visualization.

Setup guide

Set up HealthData.gov (HHS Open Data) 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 HealthData.gov (HHS Open Data) 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="HealthData.gov (HHS Open Data)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to HealthData.gov (HHS Open Data) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HealthData.gov. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about HealthData.gov (HHS Open Data) MCP in Google ADK

Install the SDK using `pip install google-adk`. Initialize the toolset using `McpToolset` with your Vinkius HTTP endpoint, and pass it to your `LlmAgent` in the tools list.

Yes. The agent uses the query tool to execute Socrata Query Language commands. It can filter by state, limit the row count, or select specific columns to optimize performance.

Your agent calls the catalog tool to search the HHS database index. It retrieves dataset IDs and descriptions, which the agent uses to select the correct dataset for its next analytical query.

Yes. The server supports both transport methods. For production cloud deployments, using the Streamable HTTP transport with your Vinkius endpoint is highly recommended.

This integration only queries publicly available HHS datasets, meaning no protected health information or private clinical trial records are ever exposed. All queries pass through our secure MCP sandbox, keeping your API keys and cloud environment isolated.

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