How to Use the CDC WONDER (Epidemiologic Data) MCP in CrewAI

Q: How do I add CDC WONDER (Epidemiologic Data) to my CrewAI setup?

Install crewaitools and pass your Vinkius URL directly into the mcps array on your Agent definition.

Q: How do I restrict which databases an agent can query?

Use MCPServerHTTP from crewai.mcp and apply a toolfilter. This ensures your agent only touches specific endpoints rather than the whole CDC system.

Deploy specialized researcher agents to analyze CDC WONDER (Epidemiologic Data) autonomously with CrewAI.

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Connect CDC WONDER (Epidemiologic Data) MCP to CrewAI

Create your Vinkius account to connect CDC WONDER (Epidemiologic Data) to CrewAI 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 CDC WONDER (Epidemiologic Data) with CrewAI

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Claude

Perplexity

Assign agents to analyze health

Give your dedicated researcher agent the `query_wonder_database` tool so it can query government health databases autonomously. Stop writing single-threaded scripts to pull mortality numbers. The agent figures out the correct database IDs and JSON parameter prefixes, like M_ or F_. It pulls the numbers and hands them off to a separate analyst agent for processing.

Cross-check birth and mortality

Complex public health research requires verification, and `query_wonder_database` lets your agents cross-reference datasets without human input. You cannot trust a single query to tell the whole story. Set up a hierarchical crew. The manager agent delegates tasks, instructing one worker to pull birth data and another to pull mortality data. A third agent compares the results.

Monitor statistics autonomously

Connect this MCP Server and the `query_wonder_database` tool to a background crew that checks for new adverse event records. Manual checking wastes hours of developer time. The agents hit the CDC endpoint on a schedule. They parse the raw JSON and trigger an escalation agent if they spot anomalies in the data.

Setup guide

Set up CDC WONDER (Epidemiologic Data) MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke CDC WONDER (Epidemiologic Data) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="CDC WONDER (Epidemiologic Data) Analyst",
    goal="Access and analyze CDC WONDER (Epidemiologic Data) data via MCP.",
    backstory="Expert analyst with direct CDC WONDER (Epidemiologic Data) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent CDC WONDER (Epidemiologic Data) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="CDC WONDER (Epidemiologic Data) Analyst",
        goal="Access and analyze CDC WONDER (Epidemiologic Data) data via MCP.",
        backstory="Expert analyst with direct CDC WONDER (Epidemiologic Data) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent CDC WONDER (Epidemiologic Data) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

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Common questions about CDC WONDER (Epidemiologic Data) MCP in CrewAI

Install `crewai[tools]` and pass your Vinkius URL directly into the `mcps` array on your Agent definition.

Yes. You can assign the MCP endpoint to specific specialized agents or expose it to the entire crew depending on your workflow.

Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. This ensures your agent only touches specific endpoints rather than the whole CDC system.

The agents read the tool schema and automatically generate the required B_ and O_ prefix JSON objects. You just tell them what public health data you want.

Vinkius executes everything inside an ephemeral sandbox. Your queries for mortality or birth records exist only during the transaction, and auth tokens are never logged.

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