How to Use the Cooper Hewitt MCP in Vercel AI SDK

Q: Can the Vercel AI SDK display Cooper Hewitt image galleries?

Yes, just call getobjectimages and map the returned URLs to your image components. The SDK handles the stream so the pictures pop up as they load.

Stream Cooper Hewitt museum data directly into your Vercel AI SDK frontends for live, interactive design history experiences.

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Connect Cooper Hewitt MCP to Vercel AI SDK

Create your Vinkius account to connect Cooper Hewitt 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 Cooper Hewitt with Vercel AI SDK

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Live museum data in Vercel AI SDK

Pipe museum collection details straight into your React or Next.js UI components. When your AI agent calls `get_object_info` or `get_object_images`, the results stream into your app without waiting for a full turn. This keeps your interface responsive. Users see design artifacts and metadata appear the second the model fetches them, making your interface feel faster than standard REST calls.

Search museum archives with Vercel AI SDK

Give your users a way to dig through the Smithsonian archives using natural language. Your agent uses `search_objects` to find specific design items based on user prompts. Everything happens on the edge. You don't need a heavy backend to handle these requests since the MCP server manages the connection, keeping your serverless functions lean.

Explore exhibition details in Vercel AI SDK

Pull current exhibition schedules and room layouts into your application. By triggering `list_exhibitions` and `get_exhibition_objects`, you can build dynamic maps of what the museum currently has on display. These tools return structured data that your frontend renders instantly. It turns your app into a window for design history, updated in real-time.

Setup guide

Set up Cooper Hewitt 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 Cooper Hewitt 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 Cooper Hewitt 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 Cooper Hewitt. 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 Cooper Hewitt MCP in Vercel AI SDK

You initialize the client with our endpoint and pass the tools into your `streamText` function. Your model then picks the right tool like `search_collection` to find what you need.

Yes, just call `get_object_images` and map the returned URLs to your image components. The SDK handles the stream so the pictures pop up as they load.

The data is lightweight JSON. Since you only fetch what you need with specific tools, your payload stays small and your app stays fast.

Vinkius manages the connection for you. Your app just talks to our endpoint, keeping your keys out of your client-side code.

We don't log your queries. Your data stays between your agent and the museum API, isolated within our ephemeral sandbox environment.

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