How to Use the CDC WONDER (Epidemiologic Data) MCP in OpenAI Agents SDK

Q: How do I connect CDC WONDER (Epidemiologic Data) to OpenAI Agents SDK?

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance with your Vinkius URL and pass it to the mcpservers list in your Agent constructor. Set cacheToolsList=True to speed up tool discovery.

Build production-grade agents with OpenAI Agents SDK that query public health records directly from the CDC WONDER system.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CDC WONDER (Epidemiologic Data) MCP to OpenAI Agents SDK

Create your Vinkius account to connect CDC WONDER (Epidemiologic Data) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup CDC WONDER (Epidemiologic Data) with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

OpenAI Agents SDK integration for public health data

Your agent needs mortality or vaccine adverse event statistics. Instead of building a custom scraper, you hand it the `query_wonder_database` tool via the MCP standard. The agent constructs the exact JSON parameter object required by the CDC API. You configure the connection using `MCPServerStreamableHttp` and pass it to the Agent constructor via `mcp_servers`. OpenAI's built-in tracing lets you watch the agent build the B_, M_, and V_ prefixed parameters in real time before it executes the request.

Enforce safety boundaries on epidemiologic queries

Public health datasets are massive and complex. OpenAI Agents SDK guardrails ensure your agent doesn't send malformed database IDs like D76 without proper parameter validation. You define the execution constraints before deployment. If the agent tries to pull 50 years of birth records in a single call, the guardrails catch it. The system forces the agent to refine its `query_wonder_database` parameters before hitting the Vinkius MCP endpoint.

Multi-agent handoffs for mortality analysis

Complex epidemiological research usually requires multiple steps. One specialized agent handles data extraction using the CDC WONDER MCP Server, pulling raw numbers. Once the query finishes, that extraction agent hands the raw JSON payload over to an analysis agent. You get a production pipeline where the data fetching logic stays isolated from the statistical modeling code.

Setup guide

Set up CDC WONDER (Epidemiologic Data) MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all CDC WONDER (Epidemiologic Data) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives CDC WONDER (Epidemiologic Data) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CDC WONDER (Epidemiologic Data) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="CDC WONDER (Epidemiologic Data) Agent",
            instructions="You have access to CDC WONDER (Epidemiologic Data) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 CDC WONDER. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect CDC WONDER (Epidemiologic Data) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CDC WONDER (Epidemiologic Data) MCP in OpenAI Agents SDK

Install the `openai-agents` package via pip. Create an `MCPServerStreamableHttp` instance with your Vinkius URL and pass it to the `mcp_servers` list in your Agent constructor. Set `cacheToolsList=True` to speed up tool discovery.

Yes. The server supports any valid CDC WONDER database ID. Your agent just needs to specify the correct code, like D76 for mortality, when calling the query tool.

The agent reads the tool schema and automatically builds the required JSON object. It understands how to apply the specific B_, M_, V_, F_, and O_ prefixes needed for the CDC API.

Writing custom CDC wrappers takes days of parsing obscure XML/JSON formats. This server gives your agent immediate, standardized access to the `query_wonder_database` tool with zero custom code.

No. The MCP server only sends your specific demographic or geographic query parameters to the CDC. Vinkius runs the connection in an ephemeral V8 Isolate, meaning your search history for vaccine adverse events disappears the moment the session ends.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript