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

Let your AutoGen agents debate and analyze HHS datasets using this MCP server.

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Connect HealthData.gov (HHS Open Data) MCP to AutoGen

Create your Vinkius account to connect HealthData.gov (HHS Open Data) to AutoGen 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 AutoGen

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Collaborative analysis of HHS data

Enable your AutoGen agents to discuss the implications of public health records retrieved via this MCP server. One agent can call `get_catalog` to find relevant datasets while another evaluates the findings. This debate process helps your system reach a consensus on data interpretation. The agents work together to refine the SoQL parameters passed to `query_dataset` for better accuracy.

Multi-agent data verification

Assign a security agent to check the validity of records pulled from HealthData.gov (HHS Open Data). It can cross-reference the output of `query_dataset` against known benchmarks. If the data seems off, the agent group negotiates to re-run the query with different constraints. This ensures the final output is verified by multiple perspectives before it reaches you.

Automated dataset exploration

Use AutoGen to manage the discovery of HHS datasets. Agents use `get_catalog` to explore available tables and decide which ones are necessary for your analysis. Once they agree on a dataset, the agents coordinate the execution of `query_dataset`. This allows your system to handle complex research tasks that require looking at multiple sources of information.

Setup guide

Set up HealthData.gov (HHS Open Data) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes HealthData.gov (HHS Open Data) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="HealthData.gov (HHS Open Data)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent HealthData.gov (HHS Open Data) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="HealthData.gov (HHS Open Data)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent HealthData.gov (HHS Open Data) data")
    print(result.messages[-1].content)

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 AutoGen

You pass the MCP tools to your assistant agents. They decide who invokes which tool based on the conversation flow and their assigned roles.

Absolutely, that is the strength of the framework. Agents can debate the SoQL queries generated for `query_dataset` to ensure they retrieve the most relevant data.

You can log the interaction history within your agent group. This provides a clear trail of which agent called which tool and what data was returned.

The server returns clear error messages if a SoQL query fails. Your agents can read these errors and attempt to fix the query logic in subsequent turns.

The server operates in an ephemeral sandbox. It only interacts with public HHS APIs, ensuring no internal or sensitive files are exposed during the agent debate.

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