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

Q: How do I install the CDC WONDER (Epidemiologic Data) MCP server in Claude Code?

Run the claude mcp add command in your terminal, specifying the HTTP transport flag and the server URL before the name. The tool configuration will be saved directly to your local /.claude.json file.

Pipe CDC WONDER public health data straight to your terminal and automate epidemiologic workflows using Claude Code.

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 Claude Code

Create your Vinkius account to connect CDC WONDER (Epidemiologic Data) to Claude Code 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 Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query epidemiologic datasets from your terminal

The terminal-focused `query_wonder_database` tool allows you to pull mortality or vaccine reports directly from your command line. Run fast, headless queries against federal health databases without opening a browser. Our terminal agent processes the raw output, allowing you to pipe the returned JSON into tools like jq or redirect it straight into a local data file. It is the fastest way to get raw public health metrics into your shell environment.

Build CI/CD pipelines with this MCP Server

Your CI/CD pipeline can invoke `query_wonder_database` via Claude Code to run automated checks on public health datasets. By connecting this MCP server to your terminal environment, Claude Code can invoke the query as part of a scheduled cron job or deployment script. You can set up automated alerts that run daily queries for specific health indicators. The agent processes the database response and triggers shell commands based on the trends it detects.

Automate complex database parameter mapping

Claude Code wraps the `query_wonder_database` tool to handle the CDC's legacy parameter formatting without custom shell scripts. Stop struggling with the CDC's legacy parameter formatting in your shell scripts. It manages the query execution, handles transport-level errors, and prints clean, structured data directly to stdout. This removes the need to write custom wrapper scripts for the WONDER API.

Setup guide

Set up CDC WONDER (Epidemiologic Data) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see cdc-wonder-epidemiologic-data-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest CDC WONDER (Epidemiologic Data) transactions." It will automatically discover and invoke the available CDC WONDER (Epidemiologic Data) tools.

Terminal

claude mcp add --transport http cdc-wonder-epidemiologic-data-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the CDC WONDER (Epidemiologic Data) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "cdc-wonder-epidemiologic-data-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Claude Code

Run the `claude mcp add` command in your terminal, specifying the HTTP transport flag and the server URL before the name. The tool configuration will be saved directly to your local `~/.claude.json` file.

Yes, because Claude Code runs entirely in the terminal, you can direct the output of your queries into other CLI utilities. The retrieved epidemiologic data can be piped to jq, grep, or redirected to local files.

Yes, you can specify any valid database ID, such as D76 for mortality, when prompting the terminal agent. It will pass the correct ID to the query tool along with your parameters.

This integration supports HTTP, SSE, and stdio transport protocols. You can configure the connection method using the transport flags during the initial CLI setup command.

Your epidemiologic data queries are proxied securely through Vinkius's single-token MCP authentication layer. Your local terminal commands and the public health statistics you retrieve are never cached on external servers.

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