How to Use the CDC WONDER (Epidemiologic Data) MCP in Vercel AI SDK

Q: How do I connect CDC WONDER (Epidemiologic Data) to the Vercel AI SDK?

Install @ai-sdk/mcp and use createMCPClient. Point the HTTP transport URL to your Vinkius endpoint and pass the resulting tools into streamText.

Stream CDC public health data straight into your React frontend using the Vercel AI SDK.

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Connect CDC WONDER (Epidemiologic Data) MCP to Vercel AI SDK

Create your Vinkius account to connect CDC WONDER (Epidemiologic Data) to Vercel AI SDK 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 Vercel AI SDK

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Stream public health datasets

The `query_wonder_database` tool pushes raw mortality data to your frontend right now, skipping the ten-second loading screen. When you connect this MCP Server to the Vercel AI SDK, you drive CDC statistics directly into your React or Next.js components. Call the endpoint with a specific database ID like D76. The AI client pulls the numbers from the CDC and streams them into your charts as fast as the chunks arrive.

Filter demographics at the edge

Slicing public health records by age or location with `query_wonder_database` happens without locking up your main thread. You run the fetch at the edge, processing the epidemiologic data before it ever hits the user's browser. Pass your B_ and V_ prefix parameters straight into the tool. The SDK handles the HTTP transport natively, keeping your frontend fast and responsive.

Surface live vaccine statistics

Connect the `query_wonder_database` tool to your UI so users can ask questions about birth rates or vaccine adverse events and see the answers appear instantly. Static dashboards are dead. Your agent translates natural language questions into the exact JSON objects the CDC WONDER system requires. It maps the results straight into your Vue or Svelte interface.

Setup guide

Set up CDC WONDER (Epidemiologic Data) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all CDC WONDER (Epidemiologic Data) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent CDC WONDER (Epidemiologic Data) transactions",
});

console.log(text);
await mcpClient.close();

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 Vercel AI SDK

Install `@ai-sdk/mcp` and use `createMCPClient`. Point the HTTP transport URL to your Vinkius endpoint and pass the resulting tools into `streamText`.

Yes. The SDK grabs the chunks from the Vinkius MCP endpoint and pushes them to your UI instantly. Your users watch the mortality tables build in real-time.

You can hit any public CDC WONDER database. Just pass the correct ID, like D76 for mortality, along with your parameter JSON.

It works perfectly. The HTTP transport layer runs at the edge, meaning your frontend fetches epidemiologic data with minimal latency.

Vinkius runs the server inside a V8 Isolate Sandbox. You are pulling public mortality and birth records, but your specific query patterns and API tokens remain completely isolated and ephemeral.

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