How to Use the Cleveland Museum of Art MCP in AutoGen

Let AutoGen agents debate Cleveland Museum of Art data to reach consensus on complex art attribution and exhibition history.

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Connect Cleveland Museum of Art MCP to AutoGen

Create your Vinkius account to connect Cleveland Museum of Art to AutoGen 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 AutoGen

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Claude

Perplexity

Debate museum data in AutoGen

Assign one agent to `search_artworks` and another to `search_creators`. They compare findings to ensure the attribution matches the museum records. This MCP Server acts as the source of truth during the debate. Agents challenge each other until they agree on the correct metadata.

Negotiate with museum tools

Set up a security agent to vet `search_similar_artworks` results while a performance agent optimizes the query speed. They balance accuracy and efficiency. You create systems where agents negotiate before finalizing an answer. The tools provide the data they need to justify their positions.

Automate museum research workflows

Use the MCP adapter to give your AutoGen conversation direct access to the entire collection. Agents execute calls independently based on your instructions. This MCP Server removes the need for human intervention. Your agents handle the search-and-verify loop entirely on their own.

Setup guide

Set up Cleveland Museum of Art MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Cleveland Museum of Art tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Cleveland Museum of Art_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Cleveland Museum of Art data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Cleveland Museum of Art_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Cleveland Museum of Art data")
    print(result.messages[-1].content)

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 AutoGen

The MCP adapter translates tool schemas into agent-readable functions. Your agents then call them as part of their standard conversation loop.

Absolutely. You configure one agent to propose a search and another to verify the results against other museum data points.

It runs on a high-availability infrastructure. Your agents can perform concurrent lookups without hitting rate limits or connection drops.

The framework manages the conversation state. You just focus on the instructions you give the agents regarding the museum data.

We enforce strict per-session authentication. Only your specific agent instance can access the museum records, ensuring your research remains private.

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