How to Use the Zip MCP in AutoGen

Q: Can I audit refund actions for Zip using AutoGen?

Yes. The agents can use refundzippayment and then debate whether that refund is excessive or if it needs to be followed up with a specific message, ensuring thorough review.

Q: What happens when I need to check Zip order status using AutoGen?

The agent calls getziporderstatus, and then the team discusses the implications of that status. For example, 'If it's Captured, we're done; if not, we wait 10 minutes.'

Q: Does AutoGen handle multiple types of Zip transactions?

It does. You can set up a workflow involving voidzippayment and capturezippayment, letting the agents negotiate the exact sequence required for compliance.

For consensus-driven decisions: AutoGen and the Zip MCP Server.

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Create your Vinkius account to connect Zip 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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Debating Payment Flows with AutoGen

The `authorize_zip_order` tool locks funds, but before confirming, you let your agents debate the risk. One agent might flag a low-value order needing less scrutiny, while another insists on full verification. The output is a consensus decision on whether or not to proceed with the payment flow.

Managing Checkout Sessions via MCP Server

`create_zip_checkout` starts the process. Your agents then discuss which redirect URL is safest, deciding collaboratively where to send the user after a successful setup. This makes sure the whole group agrees on the next steps before any funds are moved.

Decision Making with Zip Order Status for AutoGen

`get_zip_order_status` provides objective data (Authorized, Captured, Cancelled). The agents don't just read this; they argue about what the status *means* for the business logic. They might debate if a 'Cancelled' status requires an immediate follow-up email or nothing at all.

Setup guide

Set up Zip 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 Zip 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="Zip_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zip. 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 Zip MCP in AutoGen

After the agents reach consensus on payment execution, you pass the final decision to `confirm_zip_order`. This tool executes the final step of the transaction.

Yes. The agents can use `refund_zip_payment` and then debate whether that refund is excessive or if it needs to be followed up with a specific message, ensuring thorough review.

The agent calls `get_zip_order_status`, and then the team discusses the implications of that status. For example, 'If it's Captured, we're done; if not, we wait 10 minutes.'

It does. You can set up a workflow involving `void_zip_payment` and `capture_zip_payment`, letting the agents negotiate the exact sequence required for compliance.

This server handles payment transaction details, specifically order IDs, authorization states, and refund amounts. These are the key pieces of information managed by AutoGen's agents.

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