How to Use the Afterpay MCP in OpenAI Agents SDK

Q: Can I trace Afterpay tool calls in my OpenAI dashboard?

Every single execution of createcheckout or getpaymentdetails shows up in your run traces. You can see the exact inputs, outputs, and latency for all financial operations.

Let your OpenAI Agents SDK build, track, and refund Afterpay orders with built-in safety guardrails.

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Connect Afterpay MCP to OpenAI Agents SDK

Create your Vinkius account to connect Afterpay to OpenAI Agents SDK 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 Afterpay with OpenAI Agents SDK

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Secure checkout creation with agent guardrails

Your OpenAI agents can now spin up payment sessions directly using `create_checkout`. The OpenAI Agents SDK applies your preset safety boundaries, ensuring the agent never initiates a checkout that exceeds your merchant limits. Before hitting the API, this MCP Server grabs your active merchant rules via `get_afterpay_config`. The SDK verifies the transaction amount against these bounds, blocking bad requests before they ever leave your environment.

Traceable transaction history in OpenAI dashboards

By calling `list_payments`, your agent pulls historical transaction logs and dumps them right into your application context. You can watch this entire data flow in real-time using the OpenAI tracing dashboard to debug issues fast. If a customer asks about a specific charge, the agent invokes `get_payment_details` to pull the settlement info. The SDK tracks this tool execution, giving you a clear audit trail of every financial query your agent makes.

Safe agent handoffs for processing refunds

Processing refunds requires strict control, which is why your OpenAI Agents SDK routes these tasks to specialized agents. The refund agent uses `refund_payment` to return money to a customer only after confirming the order's remaining balance. This MCP setup ensures that the agent handling customer support hands off to a restricted refund agent. You get a secure, sandboxed workflow where financial write operations are isolated from general chat tools.

Setup guide

Set up Afterpay MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Afterpay tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Afterpay tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Afterpay tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Afterpay Agent",
            instructions="You have access to Afterpay tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 Afterpay. 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 Afterpay MCP in OpenAI Agents SDK

Install the SDK and pass the server URL to your HTTP stream configuration. Your OpenAI agents will automatically discover tools like `create_checkout` and `get_afterpay_config` during runtime initialization.

Yes. You can spin up a dedicated billing agent in the SDK that only has access to `refund_payment` and `get_payment_details`. This keeps refund capabilities separated from your public-facing customer service agents.

Set the tool caching parameter to true when configuring your server stream. This prevents the SDK from querying the server for its tool list on every single turn, making calls to `list_payments` much faster.

Every single execution of `create_checkout` or `get_payment_details` shows up in your run traces. You can see the exact inputs, outputs, and latency for all financial operations.

This server handles sensitive transaction logs, checkout tokens, and refund balances. Vinkius runs the server in a zero-trust sandbox, meaning your raw API keys and customer payment details never touch OpenAI's training datasets.

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