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How to Use the Artsy MCP in Mastra AI

Build resilient, auto-retrying art market workflows using Mastra AI and the Artsy MCP server.

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Works with every AI agent you already use

…and any MCP-compatible client

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

Connect Artsy MCP to Mastra AI

Create your Vinkius account to connect Artsy 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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Automate Art Market Workflows with Mastra AI

The `list_fairs` tool allows your Mastra agent to scan global art events and trigger automated reporting workflows. You register the tool by calling `mcpClient.listTools()` and spreading them directly into your agent's configuration. If the network drops during a scan, Mastra's workflow engine kicks in. It uses exponential backoff to retry the query, ensuring your background syncs don't fail because of temporary API blips.

Curate Exhibitions with Human Approval

The `list_shows` tool pulls current gallery exhibitions, which your agent can organize into a draft catalog. By using Mastra's conditional branching, you can route this draft to a human supervisor before publishing. You configure this by setting `requireToolApproval` on the agent. The agent pauses execution when it finds a show, waits for your green light, and then calls `get_artwork_details` to finalize the catalog.

Deep Semantic Art Classification

The `get_gene_details` tool provides stylistic and movement metadata for specific art movements. Your agent uses this data to classify incoming artworks and tag them with correct historical contexts. You initialize the connection using `new MCPClient` with your Vinkius MCP URL. Mastra auto-detects the SSE transport, letting your agent seamlessly query `list_genes` to build complex taxonomy maps.

Setup guide

Set up Artsy 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 Artsy 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: "artsy-mcp-client",
  servers: {
    "artsy-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Artsy 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 Artsy. 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 Artsy MCP in Mastra AI

You initialize the MCP client with your Vinkius server URL and then pass the result of `mcpClient.listTools()` to the agent's tool array. The agent immediately gains access to all artsy endpoints.
Yes. You can design a workflow step that calls `list_shows` and branches based on the results. If a show matches your criteria, the workflow automatically triggers a nested step to fetch artwork metadata.
Mastra uses its built-in workflow engine to queue requests and handle rate limits. If `get_artwork_details` hits a temporary limit, the execution pauses and retries automatically based on your backoff policy.
No. The client auto-detects the correct transport protocol, whether it is standard SSE or Streamable HTTP. You only need to provide the Vinkius URL.
All communications are encrypted in transit via TLS and execute inside zero-trust sandboxes. The Artsy MCP server operates on a zero-retention model, meaning your query parameters are wiped from memory immediately after execution.

Start using the Artsy MCP today

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

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