How to Use the New York Times MCP in Vercel AI SDK

Q: Can I filter New York Times content by section in my AI SDK app?

You can. Use the getsections tool first to grab the list of valid sections, then pass the slug to gettopstories to narrow your results.

Stream live New York Times data directly into your React or Next.js UI using the AI SDK MCP client.

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Connect New York Times MCP to Vercel AI SDK

Create your Vinkius account to connect New York Times 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 New York Times with Vercel AI SDK

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Real-time news feeds in your AI SDK interface

Pipe headline data straight into your frontend components. When your agent fetches `get_top_stories`, the results hit your state management instantly without waiting for a backend round trip. Your users won't see loading spinners while the AI fetches content. The `get_top_stories` tool provides the raw JSON payload your UI needs to render cards or lists immediately.

Query the archives for your AI SDK dashboard

Pull historical context into your application with `search_articles` or `get_archive`. You get the exact date ranges and sorting you need to populate deep-dive research widgets. This setup keeps your logic inside Edge Functions. By calling `search_articles` directly from your server-side code, you avoid exposing your API keys to the browser.

Display curated lists via AI SDK tools

Show readers what's trending by piping `get_most_emailed` and `get_most_viewed` into your app. These tools return structured lists that you can map to any UI element. Adding `get_book_lists` to your build lets you display current best-sellers alongside your editorial content. It's a clean way to keep your site updated with external data.

Setup guide

Set up New York Times 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 New York Times 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 New York Times 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 New York Times. 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 New York Times MCP in Vercel AI SDK

Yes. The AI SDK handles the stream as it arrives from the MCP server. You get the data as soon as the API returns it.

You can. Use the `get_sections` tool first to grab the list of valid sections, then pass the slug to `get_top_stories` to narrow your results.

Keep it in your environment variables. The MCP server handles the handshake, so your client-side code never touches the raw credentials.

The limit is set by your API quota. Monitor your usage logs to ensure you aren't hitting the rate ceiling during high-traffic periods.

Your agent only touches the specific articles you request. No personal user data is sent back to the server, and the connection remains scoped to your session.

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