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How to Use the CDC Public Health / 美国疾控中心 MCP in Google ADK

Feed live CDC Public Health data directly into your Google ADK enterprise agents using this MCP Server.

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Connect CDC Public Health / 美国疾控中心 MCP to Google ADK

Create your Vinkius account to connect CDC Public Health / 美国疾控中心 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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Enterprise Health Intelligence with Google ADK

This MCP Server connects `search_hhs_resources` to your enterprise cloud for large-scale health monitoring. Large-scale health monitoring requires connecting official sources to your internal data warehouses. The Google ADK handles the connection, letting your models process millions of tokens of public health documents without hitting context limits. You get a direct line from the federal government to your enterprise cloud.

Localized Public Health Campaigns

This integration uses `list_supported_languages` and `list_health_topics` to identify which resources match your local demographic needs. Target your outreach programs using real-time government data. By retrieving the official `get_recent_health_media` feed, your system can automatically update digital signage or internal portals. It ensures your communications match the latest federal guidelines.

Auditable Media Integration

This toolset uses `get_media_details` to verify the authenticity of any health asset before serving it. Pulling verified media assets shouldn't require manual API keys for every developer. You can restrict which tools are exposed by passing a custom list to your `McpToolset`. This keeps your enterprise agent focused strictly on authorized actions like fetching `get_syndication_html` for specific campaigns.

Setup guide

Set up CDC Public Health / 美国疾控中心 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. 1

    Install Google ADK

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

  2. 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. 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. 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 CDC Public Health / 美国疾控中心 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="CDC Public Health / 美国疾控中心_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CDC Public Health / 美国疾控中心 tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CDC Public Health / 美国疾控中心. 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 CDC Public Health / 美国疾控中心 MCP in Google ADK

Instantiate `McpToolset` using the `StreamableHttpServerParameters` pointing to your Vinkius URL. Then, pass that toolset object into the `tools` list when creating your `LlmAgent`.
Yes. You can pass a filtered list of tool names to your toolset configuration. This prevents the agent from running tools like `get_syndication_html` if you only want it searching via `search_health_media`.
It allows your agent to pull massive lists of topics using `list_health_topics` and analyze them all at once. The model can synthesize hundreds of media summaries without running out of memory.
Yes, the ADK supports both. For managed cloud environments, we recommend the HTTP transport via Vinkius to keep your agent serverless and scalable.
Your queries for CDC topic metadata are routed through an ephemeral V8 sandbox on Vinkius. No credentials or search terms are persisted, ensuring your cloud-based enterprise agents remain fully isolated and secure.

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