How to Use the Artsy MCP in LlamaIndex

Index art database results into your LlamaIndex knowledge base for semantic retrieval.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Artsy MCP to LlamaIndex

Create your Vinkius account to connect Artsy to LlamaIndex 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 Artsy with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Indexing Artsy records in LlamaIndex

Turn `list_artworks` results into searchable nodes. Your RAG application gains access to live art data without manual imports. LlamaIndex wraps these calls into a tool spec. You get a unified index that blends your documents with current market data.

Semantic search for art genes

Run `list_genes` to map out stylistic categories. The agent saves these categories into your vector store for later reference. Your queries now hit your index first. If the answer isn't there, the agent reaches out to the live database to fill the gap.

Querying your MCP Server index

The `search_artsy` tool provides the raw material for your knowledge base. You define the ingestion process to keep your index fresh. This MCP server setup ensures your agent has the latest details on fairs and shows. It eliminates the need to maintain static files.

Setup guide

Set up Artsy MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Artsy MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Artsy tools.",
)
response = await agent.run("List recent Artsy data")

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 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Artsy 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 Artsy MCP in LlamaIndex

You use the tool spec to convert API functions into LlamaIndex tools. Then you pass those to your agent for retrieval.

Yes, the agent uses the tools to get data which then gets indexed. You perform semantic searches over those results.

It persists only if you tell your vector store to save it. The server itself remains stateless.

We utilize a sandbox environment for every request. No logs are kept, and your data is wiped when the session closes.

Your API tokens and query parameters are encrypted at the transport layer. We do not inspect the content of your art database lookups.

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

Mastra AI sdk-typescript

Start using the Artsy MCP today

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

Get started