How to Use the CDC Public Health / 美国疾控中心 MCP in Vercel AI SDK

Q: Can I filter the tools my Vercel AI SDK app can use?

Yes. The mcpClient.tools() method returns a full list of available tools. You can filter this array in your code before passing it to your AI model, giving you precise control over which CDC operations your agent can perform.

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Connect CDC Public Health / 美国疾控中心 MCP to Vercel AI SDK

Create your Vinkius account to connect CDC Public Health / 美国疾控中心 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 Public Health / 美国疾控中心 with Vercel AI SDK

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Build a Live Health Media Search

The `search_health_media` and `get_media_details` tools let you build a real-time search interface for CDC content. As your user types, the Vercel AI SDK streams results directly into your UI components. There's no loading spinner, just a list of articles and videos that populates as the data arrives. This feels incredibly fast to the end-user. You're not waiting for a full API response to complete. You design a component, connect it to the tool stream, and the information just flows in. It's a better experience for building data-rich health applications.

Create an Instant Topic Browser

Use `list_health_topics` to pull a complete directory of public health subjects from the CDC. When a user clicks a topic, you can instantly fetch its details using `get_topic_metadata`. The information appears on screen almost before the click registers. Because the AI SDK streams tool output, your application feels more responsive. You can build UIs that explore the deep information structure of the CDC's resources without the usual latency of nested API calls. This MCP Server gives you direct access to the source.

Embed Official Content with One Call

The `get_syndication_html` tool is simple but effective. Give it a media ID, and it returns the exact HTML embed code for that piece of CDC content. Your app can inject this code directly into the page. You don't have to worry about formatting or fetching assets. It's the official, trusted representation of the content, ready to be displayed in your application. This is perfect for adding verified health information to any user-facing product.

Setup guide

Set up CDC Public Health / 美国疾控中心 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 Public Health / 美国疾控中心 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 Public Health / 美国疾控中心 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 Public Health / 美国疾控中心. 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 Public Health / 美国疾控中心 MCP in Vercel AI SDK

First, install the Vercel AI SDK and the MCP package. Then, use `createMCPClient` with the unique Vinkius URL for this server. You can pass the tools from `mcpClient.tools()` directly into the `generateText` or `streamText` functions.

Yes. The `mcpClient.tools()` method returns a full list of available tools. You can filter this array in your code before passing it to your AI model, giving you precise control over which CDC operations your agent can perform.

No, it's designed for speed. The Vercel AI SDK streams tool results as they're generated, so your UI can start rendering data immediately instead of waiting for the full response. This makes your app feel much faster and more interactive.

You get access to official CDC media items like articles, videos, and podcasts, along with a structured list of public health topics. You can search this content, get detailed metadata, and even pull embeddable HTML for syndication.

Your app only queries public data. The server handles requests for CDC media items and health topics. All requests are processed in ephemeral, zero-trust sandboxes on Vinkius, and no personal or session data is ever stored.

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