Checkout.com MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Checkout.com through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Checkout.com Assistant",
instructions=(
"You help users interact with Checkout.com. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Checkout.com"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Checkout.com MCP Server
Connect your Checkout.com account to any AI agent and take full control of your global payment operations through natural conversation. Streamline how you manage transactions across 150+ currencies.
The OpenAI Agents SDK auto-discovers all 8 tools from Checkout.com through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Checkout.com, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Unified Payment Oversight — List and retrieve details for all payments processed through the Unified API natively
- Mutable Operations — Refund, capture, or void payments directly through secure conversational commands flawlessly
- Action Auditing — List all lifecycle actions for any specific payment to track its history securely
- Connectivity Monitoring — List and review configured webhooks to ensure your integration is running flawlessly
- System Metadata — Retrieve core account information and user settings directly within your workspace flawlessly
- minor unit Handling — Work with precise financial amounts in minor units for high-accuracy transaction management
The Checkout.com MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Checkout.com to OpenAI Agents SDK via MCP
Follow these steps to integrate the Checkout.com MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Checkout.com
Why Use OpenAI Agents SDK with the Checkout.com MCP Server
OpenAI Agents SDK provides unique advantages when paired with Checkout.com through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Checkout.com + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Checkout.com MCP Server delivers measurable value.
Automated workflows: build agents that query Checkout.com, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Checkout.com, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Checkout.com tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Checkout.com to resolve tickets, look up records, and update statuses without human intervention
Checkout.com MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Checkout.com to OpenAI Agents SDK via MCP:
capture_checkout_payment
Capture an authorized payment
get_checkout_account_info
Retrieve core account and user information
get_payment_details
Get detailed information for a specific payment
list_checkout_payments
List recent payments
list_checkout_webhooks
List configured webhooks
list_payment_actions
List all lifecycle actions for a specific payment
refund_checkout_payment
Refund a captured payment
void_checkout_payment
Void an authorized payment
Example Prompts for Checkout.com in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Checkout.com immediately.
"Show me my last 5 payments in Checkout.com."
"What happened to payment ID 'pay_123456'?"
"Refund payment pay_789 for $10.50."
Troubleshooting Checkout.com MCP Server with OpenAI Agents SDK
Common issues when connecting Checkout.com to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Checkout.com + OpenAI Agents SDK FAQ
Common questions about integrating Checkout.com MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Checkout.com with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Checkout.com to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
