How to Use the Art Institute of Chicago MCP in Google ADK

Q: How do I configure the Art Institute of Chicago MCP Server in Google ADK?

Install the google-adk package. Initialize an McpToolset with StreamableHttpServerParameters pointing to your Vinkius URL, then pass it to your LlmAgent constructor.

Q: Can Google ADK filter the Art Institute of Chicago tools?

You restrict access using the optional toolnames parameter. This prevents your agent from calling listproducts if you only want it analyzing artworks and exhibitions.

Q: How does Google ADK handle Art Institute of Chicago manifests?

Your agent calls getartworkmanifest to retrieve the IIIF JSON structure. Gemini parses that data to locate the high-resolution image URLs for further processing.

Feed Art Institute of Chicago MCP Server data into Google ADK to analyze massive exhibition histories using Gemini reasoning.

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Connect Art Institute of Chicago MCP to Google ADK

Create your Vinkius account to connect Art Institute of Chicago to Google ADK 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 Art Institute of Chicago with Google ADK

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Search Art Institute of Chicago MCP Server

The `search_artworks` tool queries the museum catalog to find specific pieces, while `list_galleries` maps their physical locations. You get raw JSON back from the institution. Gemini can swallow thousands of these records at once thanks to its massive context window. Your agent pulls the data, cross-references it with your existing BigQuery datasets, and builds a complete spatial map of the collection.

Build spatial tours with Vertex AI

Calling `list_tours` gives your application the official museum routing guides. Pairing that with `get_place` pulls the exact coordinates and architectural details for each stop. Enterprise deployments need accurate spatial data. Feed these tool outputs directly into your Google Cloud pipeline to generate custom audio guides or interactive maps based on real museum floor plans.

Process scholarly articles at scale

The `search_articles` tool fetches academic texts and curatorial notes published by the staff. You can grab specific entries using `get_article` when you need deep dives on a single subject. Analyzing decades of art history requires serious token limits. Google ADK lets you dump the entire text output into Gemini to extract trends, summarize movements, or link concepts across different eras.

Setup guide

Set up Art Institute of Chicago MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Art Institute of Chicago tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Art Institute of Chicago_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Art Institute of Chicago tools via MCP.",
    tools=mcp_tools,
)

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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 Art Institute of Chicago. 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 Art Institute of Chicago MCP in Google ADK

Install the `google-adk` package. Initialize an `McpToolset` with `StreamableHttpServerParameters` pointing to your Vinkius URL, then pass it to your `LlmAgent` constructor.

You restrict access using the optional `tool_names` parameter. This prevents your agent from calling `list_products` if you only want it analyzing artworks and exhibitions.

Your agent calls `get_artwork_manifest` to retrieve the IIIF JSON structure. Gemini parses that data to locate the high-resolution image URLs for further processing.

The MCP architecture separates the tool execution from your data storage. Your agent fetches the museum data, and you write standard Python logic to push those results into your Google Cloud databases.

The Vinkius zero-trust environment isolates your connection entirely. When your agent sends an artist name or gallery ID, the ephemeral sandbox routes the request and immediately terminates.

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