How to Use the Cooper Hewitt MCP in CrewAI

Q: How do I filter Cooper Hewitt tools in CrewAI?

Use the toolfilter parameter in your agent config. It prevents agents from using tools they don't need, making the workflow cleaner.

Deploy autonomous design research crews using CrewAI and the Cooper Hewitt 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 CrewAI

Create your Vinkius account to connect Cooper Hewitt to CrewAI 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 CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous design crews in CrewAI

Assign research tasks to a specialized agent crew. One agent focuses on `search_objects` while another handles `get_object_info` to build comprehensive dossiers on design history. They share memory, so your agents don't repeat work. This saves time and keeps your operations efficient as the crew digs deeper into the collection.

Museum monitoring with CrewAI

Set up a monitor agent to watch for new exhibition updates. It can periodically run `list_exhibitions` and alert you when the museum adds a new showcase. This creates a hands-off system for tracking design trends. Your agents run in the background, keeping you informed without constant manual checks.

Collaborative design analysis in CrewAI

Use hierarchical execution to have a lead agent direct a researcher. The researcher pulls data with `get_object_colors`, and the lead synthesizes this into a report for your team. This structure mimics a real design studio. You get better output because your agents specialize in their specific museum data tasks.

Setup guide

Set up Cooper Hewitt MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Cooper Hewitt tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Cooper Hewitt Analyst",
    goal="Access and analyze Cooper Hewitt data via MCP.",
    backstory="Expert analyst with direct Cooper Hewitt access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Cooper Hewitt transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Cooper Hewitt Analyst",
        goal="Access and analyze Cooper Hewitt data via MCP.",
        backstory="Expert analyst with direct Cooper Hewitt access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Cooper Hewitt transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Yes, just pass the server URL to your agents. You can filter which tools each agent gets, like giving the visual agent access to `get_object_colors` only.

Yes, the shared memory feature lets your agents pass findings back and forth. If one agent finds an object, the next one already knows the ID.

Use the tool_filter parameter in your agent config. It prevents agents from using tools they don't need, making the workflow cleaner.

The server handles high-frequency requests easily. Your agents won't be slowed down by the museum API response times.

Every request uses a unique endpoint token. Your museum data is firewalled and isolated from other users in our sandbox, preventing any cross-contamination.

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