How to Use the Worldpay MCP in AutoGen

Q: How does AutoGen manage payment orders with Worldpay?

You use createpaymentorder to initiate a charge, but multiple agents discuss the required parameters—like the amount and currency. They debate the best order description before it's submitted.

Q: What information does Worldpay touch when AutoGen handles payments?

The system interacts with payment tokens (createreusabletoken), order details (getorderdetails), and sometimes needs to refundpaymentorder based on agent consensus.

Q: If I need to verify webhook endpoints using AutoGen, what data type does Worldpay touch?

The listwebhookendpoints tool exposes string-based URLs. These endpoint strings are the specific configuration details your agents read and validate during their multi-agent discussion.

Drive consensus payments using AutoGen and Worldpay's tools.

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Connect Worldpay MCP to AutoGen

Create your Vinkius account to connect Worldpay 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 Worldpay with AutoGen

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Debating Payment Decisions with MCP Server

You set up multiple agents to discuss a payment scenario. Agent A might call `create_payment_order` to propose a charge, while Agent B runs `get_settlement_details` to check available funds. The system doesn't just run the tools; it uses the conflicting or complementary outputs to debate and reach a final, agreed-upon action.

Coordinating Worldpay Refunds with AutoGen

If an order needs reversing, you can deploy agents. One agent calls `get_order_details` to confirm the original amount; a second agent uses `refund_payment_order` based on that confirmed data. They negotiate whether the refund is valid and what the correct amount should be before executing the call.

Automated Payment Token Management via AutoGen

AutoGen agents can manage token generation. One agent might check `get_api_health` first, while another handles calling `create_reusable_token`. The flow only proceeds when both agents confirm the connection is active and the token data is valid. This simulates a multi-stage approval process using the Worldpay MCP Server.

Setup guide

Set up Worldpay 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 Worldpay 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="Worldpay_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You use `create_payment_order` to initiate a charge, but multiple agents discuss the required parameters—like the amount and currency. They debate the best order description before it's submitted.

Yes. Agents can collaborate: one agent lists all available settlements using `list_payment_settlements`, and a second agent summarizes that data to provide an auditable report.

The system interacts with payment tokens (`create_reusable_token`), order details (`get_order_details`), and sometimes needs to `refund_payment_order` based on agent consensus.

A common scenario involves three agents: one checking health, a second getting order details, and a third deciding if a refund is necessary after deliberation.

The `list_webhook_endpoints` tool exposes string-based URLs. These endpoint strings are the specific configuration details your agents read and validate during their multi-agent discussion.

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