How to Use the Cleveland Museum of Art MCP in Google ADK

Q: How do I connect the Cleveland Museum of Art to my Google ADK agent?

You initialize the McpToolset with the museum's server URL. The ADK then registers the tools for use within your Gemini-based agent.

Q: Can Google ADK agents summarize Cleveland Museum of Art exhibitions?

They can. By using the getexhibition tool, your agent pulls the details and the Gemini model summarizes the content for your users.

Integrate Cleveland Museum of Art archives into Google ADK for large-scale data analysis and Gemini-powered research.

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Connect Cleveland Museum of Art MCP to Google ADK

Create your Vinkius account to connect Cleveland Museum of Art 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 Cleveland Museum of Art with Google ADK

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Deep search with Google ADK

Your agent uses `search_artworks` to sift through thousands of catalog entries. It connects to your existing Google Cloud infrastructure for seamless data flow. This MCP Server allows Gemini models to reason over the entire museum database. You'll find specific artists using `search_creators` as part of your larger pipeline.

Visual similarity in Google ADK

Run `search_similar_artworks` to identify visual matches within the collection. Your agent performs these lookups while remaining within the Google ADK environment. It treats every result as a data point for your BigQuery tables. This lets you build complex relationships between art objects programmatically.

Manage exhibitions via Google ADK

Query the museum schedule with `search_exhibitions` to trigger downstream tasks. Your agent monitors these records to keep your internal logs in sync. Everything happens through the standard `McpToolset` interface. You'll have the Cleveland Museum of Art data ready for any Gemini-powered logic.

Setup guide

Set up Cleveland Museum of Art 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 Cleveland Museum of Art 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="Cleveland Museum of Art_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cleveland Museum of Art tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Cleveland Museum of Art MCP in Google ADK

You initialize the `McpToolset` with the museum's server URL. The ADK then registers the tools for use within your Gemini-based agent.

It will. The tools integrate as native functions, allowing your agent to call them whenever it needs information about an artwork.

All traffic is encrypted over HTTPS. This server only provides access to non-sensitive, public-facing museum metadata.

They can. By using the `get_exhibition` tool, your agent pulls the details and the Gemini model summarizes the content for your users.

Yes. You can switch between HTTP and stdio transports based on your deployment needs in Google Cloud.

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