How to Use the Cornershop MCP in AutoGen

Debate grocery strategy in AutoGen using multi-agent teams that negotiate Cornershop orders for maximum efficiency.

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Connect Cornershop MCP to AutoGen

Create your Vinkius account to connect Cornershop 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 Cornershop with AutoGen

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Multi-agent negotiation for AutoGen

Deploy a team where one agent finds items with `search_products` while another verifies budget constraints. They argue until they reach the best cart configuration. This system prevents bad orders. The agents challenge each other's selections, ensuring that only valid, cost-effective items make it into the final `create_order` call.

Automated order management in AutoGen

Assign an agent to monitor `track_order` updates while another manages inventory. If the shopper reports an out-of-stock item, the agents immediately negotiate a replacement. This removes the need for human intervention. The agents use the tool outputs to debate and resolve order issues in real-time as the shopper picks.

Secure grocery operations with MCP

Use a specialized security agent to review any `update_order` commands before they execute. It checks the request against your safety policies. The agents act as a system of checks and balances. By separating the execution and verification duties, you build a robust grocery pipeline that follows your rules.

Setup guide

Set up Cornershop 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 Cornershop 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="Cornershop_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Cornershop data")
print(result.messages[-1].content)

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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="Cornershop_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

The McpToolAdapter converts the server tools into functions the agents can call. Once registered, agents can propose, debate, and execute delivery commands.

Yes. You can have one agent search, another create the cart, and a third monitor the delivery. They communicate to ensure the entire process stays on track.

The server provides a standardized schema that the adapter reads automatically. Your agents see these tools as available capabilities for their group discussion.

The connection lasts for the duration of the agent session. You can use standard transports to keep the interaction alive while the agents debate the best delivery options.

Every session runs in an isolated sandbox. We clear all temporary data after your agents finish their task, ensuring no order details or location history persist beyond the runtime.

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