How to Use the CloudCart MCP in AutoGen

Debate store operations in AutoGen using CloudCart as your data source.

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Connect CloudCart MCP to AutoGen

Create your Vinkius account to connect CloudCart 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 CloudCart with AutoGen

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Use CloudCart tools in AutoGen agents

Give your agents access to `list_store_brands` and `list_store_categories`. One agent can analyze brand performance while another critiques the strategy. The agents talk until they reach a conclusion. They use these tools to verify facts before committing to a plan.

Verify orders with AutoGen

One agent calls `get_order_store_details` to find issues. Another agent checks the customer records to see if the complaint is valid. This creates a system of checks and balances. Your agents debate the findings until they solve the problem.

Debate product strategies in AutoGen

Agents use `list_store_products` to compare inventory against market needs. They argue about which items to promote based on the data. You get a decision backed by evidence. The agents challenge each other's reasoning, ensuring the final output is solid.

Setup guide

Set up CloudCart 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 CloudCart 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="CloudCart_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent CloudCart 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="CloudCart_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent CloudCart 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 CloudCart. 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 CloudCart MCP in AutoGen

You pass the tool list to the AssistantAgent constructor. The adapter handles the schema so agents can call the tools during their conversation.

Yes, the server supports concurrent requests. Every agent in your conversation can query the store simultaneously.

You just need the adapter extension. It maps the server tools to the agent's expected format automatically.

You define which tools each agent can use in your constructor. This keeps sensitive operations isolated to specific agents.

We ensure all data remains within your controlled environment. No customer records are stored or logged by us during your agent debates.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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Pydantic AI sdk-python

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Mastra AI sdk-typescript

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