How to Use the Met Museum MCP in Vercel AI SDK

Q: Can I search for specific art movements in the Met Museum using the AI SDK?

Yes. Pass your movement query to searchobjects and the server returns relevant object IDs. Your AI SDK client then processes these IDs to build your search results page.

Q: Does the AI SDK handle image URLs from the Met Museum?

The getobject tool returns high-resolution image links. You can drop these directly into your image components to display artwork.

Q: How do I filter Met Museum results by department in the AI SDK?

Use listdepartments to grab the valid IDs first. Then, include the specific department ID in your searchobjects call.

Stream Met Museum collection data directly into your front-end using the AI SDK for reactive, real-time UI updates.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Met Museum MCP to Vercel AI SDK

Create your Vinkius account to connect Met Museum 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.

GDPR Free for Subscribers

Setup Met Museum with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live art discovery in your UI

Feed your interface with live data from the Met Museum collection. Use `search_objects` to find specific pieces and let your AI client stream results directly into your components. Your users won't stare at loading bars. The data hits the browser as soon as the agent finds it, making for a snappy experience.

Drill down into metadata

Get granular with your object research by calling `get_object`. It pulls the title, medium, and artist info straight into your application state. You'll handle the metadata as standard JSON objects. This keeps your React or Next.js code clean and focused on the display logic.

Catalog navigation with MCP Server

Map out the museum's departments with the `list_departments` tool. It provides the necessary IDs to filter your search queries effectively. Combine this with `list_objects` to browse the full catalog index. Your MCP Server handles the request structure so you can focus on building your app.

Setup guide

Set up Met Museum 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 Met Museum 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 Met Museum 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 Met Museum. 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 Met Museum 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 Met Museum MCP in Vercel AI SDK

Yes. Pass your movement query to `search_objects` and the server returns relevant object IDs. Your AI SDK client then processes these IDs to build your search results page.

The `get_object` tool returns high-resolution image links. You can drop these directly into your image components to display artwork.

Use `list_departments` to grab the valid IDs first. Then, include the specific department ID in your `search_objects` call.

Yes. Your AI client communicates over a private, authenticated tunnel. Only your defined tools can touch the public API endpoints.

We don't store your query history or browsing patterns. The MCP Server only passes raw object metadata from the museum, ensuring no sensitive user data is processed.

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