How to Use the Cleveland Museum of Art MCP in CrewAI

Q: What kind of information does the getcreator tool return?

The getcreator tool returns structured data about a specific artist, including their name, biography, birth and death dates, and nationality, based on the ID you provide.

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Connect Cleveland Museum of Art MCP to CrewAI

Create your Vinkius account to connect Cleveland Museum of Art 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.

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Setup Cleveland Museum of Art with CrewAI

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Perplexity

Assemble an Art Research Crew

CrewAI is about specialized agents working together. Assign one agent the role of 'Researcher' to use `search_artworks` and `search_exhibitions` to gather raw data from the Cleveland Museum of Art collection. This agent's only job is to find relevant artwork and exhibition IDs. A second 'Analyst' agent can then take that list of IDs, use the `get_artwork` and `get_exhibition` tools to fetch the details, and synthesize a report. The agents pass tasks and context to each other, creating an autonomous research pipeline.

Simulate a Curation Process

You can create a 'Curator' agent that uses `search_similar_artworks` to find pieces that fit a visual theme. It then passes its findings to a 'Critic' agent. The Critic's job is to use `get_creator` to investigate the artist's background and `get_artwork` to check the piece's provenance. This division of labor is CrewAI's strength. Each agent has a clear role and its own set of allowed tools from this MCP Server. They collaborate to produce a result that's more nuanced than what a single agent could do alone.

A CrewAI Bot for Historical Research

Focus a crew on a specific historical topic, like the Cleveland 'May Shows'. One agent uses `search_may_show_creators` to build a list of all participating artists. A second agent takes that list and cross-references it with `search_artworks` to find every piece in the main collection by those artists. A final 'Writer' agent can then assemble the findings into a coherent narrative about the May Shows' impact. This is a powerful MCP setup for deep dives into the collection, all running autonomously.

Setup guide

Set up Cleveland Museum of Art 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 Cleveland Museum of Art tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Cleveland Museum of Art 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="Cleveland Museum of Art Analyst",
        goal="Access and analyze Cleveland Museum of Art data via MCP.",
        backstory="Expert analyst with direct Cleveland Museum of Art access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Cleveland Museum of Art 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 Cleveland Museum of Art. 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 Cleveland Museum of Art MCP in CrewAI

Yes, that's exactly how CrewAI is designed to be used. You can create a 'Researcher' agent with access to the `search_artworks` tool and an 'Analyst' agent with access to `get_artwork`. The first agent finds IDs, the second fetches the details.

Define a sequential task. The first agent in the crew can use the `search_exhibitions` tool to find relevant events. It then passes the output—a list of exhibition IDs—to the next agent, who can use `get_exhibition` to pull details for each one.

Yes. When you define your agents in CrewAI, you can specify exactly which tools from the MCP server each agent is allowed to use. This lets you enforce role specialization within your crew.

The `get_creator` tool returns structured data about a specific artist, including their name, biography, birth and death dates, and nationality, based on the ID you provide.

Your agent's inputs, like search strings or artwork accession numbers, are processed in memory and are never persisted. The Vinkius platform isolates each MCP request, so the context shared between your CrewAI agents remains confidential to your session.

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