The Met Museum MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect The Met Museum through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using The Met Museum, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About The Met Museum MCP Server
Connect to The Met Museum and explore one of the world's largest art collections through natural conversation — no API key needed.
The Vercel AI SDK gives every The Met Museum tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Artwork Search — Search 470,000+ artworks by artist name, title, culture, medium or any term
- Artwork Details — Get full metadata including title, artist, date, medium, dimensions, credit line and images
- Department Browse — Explore artworks by department (European Paintings, Egyptian Art, Asian Art, etc.)
- Highlights — Discover curator-selected highlights from the collection
- On-View Objects — Find artworks currently displayed in the museum galleries
- Date Range Search — Filter artworks by century or specific date ranges
- Image Discovery — Find artworks with Open Access CC0 images
The The Met Museum MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect The Met Museum to Vercel AI SDK via MCP
Follow these steps to integrate the The Met Museum MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from The Met Museum and passes them to the LLM
Why Use Vercel AI SDK with the The Met Museum MCP Server
Vercel AI SDK provides unique advantages when paired with The Met Museum through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same The Met Museum integration everywhere
Built-in streaming UI primitives let you display The Met Museum tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
The Met Museum + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the The Met Museum MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query The Met Museum in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate The Met Museum tools and return structured JSON responses to any frontend
Chatbots with tool use: embed The Met Museum capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with The Met Museum through natural language queries
The Met Museum MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect The Met Museum to Vercel AI SDK via MCP:
get_departments
Useful for filtering searches by department (e.g. European Paintings, Egyptian Art, Asian Art, Arms and Armor). Get all museum departments
get_object
Returns title, artist, culture, date, medium, dimensions, credit line, repository URL, image URLs and more. All Open Access images are CC0 public domain. Get detailed info for a specific artwork by object ID
get_objects_by_department
Use get_departments first to find the department ID. Returns list of object IDs which can be used with get_object for full details. Get all object IDs for a specific department
search_by_century
Returns object IDs which can be used with get_object for full artwork details including images. Search for objects created in a specific century
search_highlights
These represent some of the most significant and popular works in the collection. Search for highlighted (curator-selected) objects
search_objects
Supports filtering by department, date range, medium, images, highlights and on-view status. Returns object IDs which can be used with get_object for full details. Search The Met collection for artworks
search_on_view
Useful for planning museum visits. Search for objects currently on view in the museum
search_with_images
Useful for finding visual artworks. Supports all standard search filters plus has_images=true. Search for objects that have images
Example Prompts for The Met Museum in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with The Met Museum immediately.
"Search for paintings by Monet."
"Show me the highlights from Egyptian Art."
"Find sculptures from the 1800s."
Troubleshooting The Met Museum MCP Server with Vercel AI SDK
Common issues when connecting The Met Museum to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpThe Met Museum + Vercel AI SDK FAQ
Common questions about integrating The Met Museum MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect The Met Museum with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect The Met Museum to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.