How to Use the Checkout.com MCP in OpenAI Agents SDK

Q: How do I connect the Checkout.com MCP Server to OpenAI Agents SDK?

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance with your endpoint URL and pass it to the mcpservers list in your Agent constructor.

Q: How do I handle Checkout.com pagination with OpenAI Agents SDK?

The agent handles it natively. When it calls listcheckoutpayments, it reads the response metadata and loops through subsequent pages if you prompt it to fetch a specific date range.

Build production payment agents with OpenAI Agents SDK. Auto-discover tools and execute refunds with built-in safety guardrails.

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Connect Checkout.com MCP to OpenAI Agents SDK

Create your Vinkius account to connect Checkout.com 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 Checkout.com with OpenAI Agents SDK

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Build safe money-moves with OpenAI Agents SDK

Your agent needs to handle real money. That means you need hard constraints. When you connect this MCP Server, your OpenAI agent auto-discovers tools like `capture_checkout_payment` and `refund_checkout_payment`. You define the guardrails in Python before the agent executes a refund or capture. If a user asks for a refund, the agent checks the transaction state first. You see the exact sequence of API calls in your OpenAI dashboard tracing.

Connect specialized billing agents

Break your payment logic into distinct roles. Pass the MCP connection to a specialized support agent that only handles disputes. It reads transaction history using `list_checkout_payments` and hands off to an escalation agent if the amount exceeds your threshold. The handoff mechanism keeps your architecture modular. One agent pulls webhook configs via `list_checkout_webhooks` to verify delivery, while another handles the actual voiding via `void_checkout_payment`.

Track the complete payment lifecycle

Stop logging into the dashboard to figure out why a charge failed. Your agent runs `list_payment_actions` to pull the exact sequence of auths, captures, and declines directly into your terminal. You get the full timeline instantly. If a customer asks about a specific charge, the agent hits `get_payment_details` and formats the response. Set `cacheToolsList=True` in your setup so the agent skips tool discovery on every run.

Setup guide

Set up Checkout.com 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 Checkout.com tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Checkout.com 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="Checkout.com Agent",
            instructions="You have access to Checkout.com tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Checkout.com. 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 Checkout.com MCP in OpenAI Agents SDK

Install the `openai-agents` package via pip. Create an `MCPServerStreamableHttp` instance with your endpoint URL and pass it to the `mcp_servers` list in your Agent constructor.

Yes. The SDK reads the server manifest on initialization. Your agent instantly knows how to format inputs for `get_checkout_account_info` without manual schema mapping.

It does. You write Python validation functions that run before the agent executes a refund or capture. If the logic fails, the agent aborts the call.

The agent handles it natively. When it calls `list_checkout_payments`, it reads the response metadata and loops through subsequent pages if you prompt it to fetch a specific date range.

Vinkius runs the connection in a V8 Isolate Sandbox that dies immediately after execution. Your agent pulls transaction IDs and settlement amounts, but the endpoint token handles auth securely without exposing raw credentials to the model.

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