How to Use the Artsy MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK agent run complex queries across Artsy?

Yes, the agent combines searchartsy with getartworkdetails to resolve vague prompts. It finds the artwork first, then pulls the exact details it needs.

Feed real-time art data straight to your OpenAI Agents SDK pipelines without writing custom API wrappers.

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Connect Artsy MCP to OpenAI Agents SDK

Create your Vinkius account to connect Artsy to OpenAI Agents 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 Artsy with OpenAI Agents SDK

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Run secure art searches using the Artsy MCP Server

The Artsy MCP Server lets your OpenAI Agents SDK system query the global art database directly through `search_artsy`. Your agents parse the query, fetch the raw results, and feed them into your custom workflows. It works out of the box because the server exposes these endpoints as clean tools. You do not have to write boilerplate HTTP requests or handle complex authentication. Instead, the agent discovers the tools on startup and queries the API safely.

Map art movements and shows for automated curation

Your agent uses `list_genes` and `list_shows` to track specific gallery exhibitions and artistic categories. This lets your OpenAI Agents SDK application group artworks by style or venue without manual tagging. You get structured lists that your agent can immediately parse and categorize. Because the SDK supports agent handoffs, you can have one agent fetch the shows and another evaluate the styles. This keeps your pipeline fast and avoids token bloat.

Drill down into artist profiles with native tracing

Retrieve deep biographical records using `get_artist_details` to verify creator backgrounds. The OpenAI Agents SDK logs every single tool call in your dashboard, meaning you see exactly when and why the agent queried the Artsy database. You get full visibility into the execution path. If an agent tries to fetch a missing artist, the built-in guardrails catch the error before it breaks your production run. You get clean, verified data without silent failures.

Setup guide

Set up Artsy MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Artsy tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Artsy tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Artsy tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Artsy Agent",
            instructions="You have access to Artsy tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Install the package and pass the Artsy MCP server URL to MCPServerStreamableHttp. Your OpenAI Agents SDK setup auto-discovers the tools on startup. Set cacheToolsList=True to keep execution fast.

Yes, the agent combines search_artsy with get_artwork_details to resolve vague prompts. It finds the artwork first, then pulls the exact details it needs.

The SDK relies on your connection parameters to manage traffic. You can configure retry logic in your Python code to handle API throttling gracefully.

Yes, you can pass the Artsy tools to a specialized research agent. Once it gathers the data, it hands off the clean payload to your writer agent.

Your search queries and art database lookups run through an ephemeral V8 sandbox. Your MCP connection is isolated, and no data is stored or logged on our servers.

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