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How to Use the Met Museum MCP in Mastra AI

Build complex, failure-aware art research workflows for Mastra AI using this specialized MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

Met Museum MCP on Cursor AI Code Editor MCP Client Met Museum MCP on Claude Desktop App MCP Integration Met Museum MCP on OpenAI Agents SDK MCP Compatible Met Museum MCP on Visual Studio Code MCP Extension Client Met Museum MCP on GitHub Copilot AI Agent MCP Integration Met Museum MCP on Google Gemini AI MCP Integration Met Museum MCP on Lovable AI Development MCP Client Met Museum MCP on Mistral AI Agents MCP Compatible Met Museum MCP on Amazon AWS Bedrock MCP Support
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Mastra AI

Connect Met Museum MCP to Mastra AI

Create your Vinkius account to connect Met Museum to Mastra AI 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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Automated art research workflows

Chain multiple steps together using `search_objects` and `get_object` within your Mastra agents. If a search fails, the agent retries automatically. You define the logic flow once. The agent handles the back-and-forth with the API, ensuring your workflow stays on track.

Human-in-the-loop art verification

Require manual approval before your agent calls `get_object` for sensitive records. This keeps a human in the driver's seat for critical research. Mastra handles the pause and resume state. You just flag the tool as requiring approval in your agent configuration.

Manage Met Museum data at scale

Use `list_objects` to pull massive batches of data for your analytical agents. It works with your existing TypeScript-native workflows without extra glue code. This MCP Server provides the tool signatures Mastra needs to run complex, multi-step operations. You just wire them up and deploy.

Setup guide

Set up Met Museum MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Met Museum tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "met-museum-mcp-client",
  servers: {
    "met-museum-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Met Museum Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Met Museum tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Met Museum transactions"
);
console.log(result.text);

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

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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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 Mastra AI

Create an agent with the `search_objects` and `get_object` tools. Define a workflow that iterates through results to build a curated list.
Yes. Mastra includes built-in exponential backoff. If the API hits a rate limit, the agent waits and tries again automatically.
Absolutely. You can set `requireToolApproval` on any tool. This forces the agent to wait for your sign-off before pulling object details.
You instantiate the client and spread the tools into your agent definition. It handles the communication protocol behind the scenes.
Your interactions are ephemeral and isolated. We don't keep logs of your specific queries, only the metadata needed for your agent to function.

Start using the Met Museum MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for Met Museum. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 4 tools are live and waiting. You're up and running in seconds.

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