How to Use the Cooper Hewitt MCP in Google ADK

Q: Can I restrict which Cooper Hewitt tools are visible to my Google ADK agent?

Yes, you can use the toolnames filter in the ADK toolset configuration. This prevents the agent from seeing tools you don't need, like the testing endpoints.

Feed Cooper Hewitt design metadata to Google ADK agents using our secure MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cooper Hewitt MCP to Google ADK

Create your Vinkius account to connect Cooper Hewitt 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.

GDPR Free for Subscribers

Setup Cooper Hewitt with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Search design archives inside enterprise workflows

Finding historical objects requires `search_objects_faceted` to drill down into specific design eras. Your Google ADK agent runs these queries directly, feeding structured museum data into your existing enterprise pipelines. Gemini's million-token context window can ingest massive lists of design artifacts at once. This means you can process entire museum categories without worrying about hitting token ceilings.

Analyze exhibition lists via Google ADK

Mapping out historical displays is done by calling `list_exhibitions` and `get_exhibition_objects` to gather context. Google ADK lets you cross-reference this Smithsonian data with your own database tables in BigQuery. Your agent can write SQL queries on your internal data while pulling museum context from the MCP Server. It merges both sources to give you a complete picture of design trends.

Extract visual metadata for cloud pipelines

Getting image assets and creator profiles uses `get_object_images` and `get_person_info` to build rich datasets. Google ADK passes these assets directly to Vertex AI vision models or storage buckets for further processing. You get structured data straight from the MCP Server into your Google Cloud. Automating the indexing of design history becomes trivial with this pipeline.

Setup guide

Set up Cooper Hewitt 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 Cooper Hewitt 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="Cooper Hewitt_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cooper Hewitt tools via MCP.",
    tools=mcp_tools,
)

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 Cooper Hewitt. 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 Cooper Hewitt 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 Cooper Hewitt MCP in Google ADK

Yes, you can use the tool_names filter in the ADK toolset configuration. This prevents the agent from seeing tools you don't need, like the testing endpoints.

Gemini models handle over a million tokens, so you can dump massive payloads from search_collection directly into the prompt. The MCP Server serves raw JSON, which the model parses easily.

Absolutely. Your agent can fetch museum object records via the MCP Server and write those structured fields directly into a BigQuery table using standard ADK tools.

No, Vinkius handles the authentication layer for you. Your agent only needs the single HTTP endpoint token provided in your dashboard to connect.

Yes, Vinkius processes all museum metadata requests in secure, isolated containers. Your search queries and retrieved object colors are never logged or stored on our servers.

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