How to Use the Checkout.com MCP in AutoGen

Q: How do I configure Checkout.com for AutoGen agents?

Install the autogen-ext package with MCP support. Point mcpservertools to your Vinkius HTTP endpoint. Pass the resulting tool list into your AssistantAgent constructor.

Let AutoGen agents debate and execute your Checkout.com transactions through this MCP Server. Build consensus-driven payment workflows.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Checkout.com MCP to AutoGen

Create your Vinkius account to connect Checkout.com 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.

GDPR Free for Subscribers

Setup Checkout.com with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Consensus-Driven Payment Capture

The `capture_payment` tool converts authorized transactions into settled funds. In AutoGen, you do not just run this blindly. A security agent reviews the fraud flags while a finance agent checks the capture limits. They argue about the risk level before doing anything. If the security agent flags an anomaly, the system halts. When they agree the transaction is clean, they execute the tool call through the MCP server.

Multi-Agent Instrument Management

Provisioning customer bindings happens via the `create_instrument` tool. Your AutoGen setup might have a customer service agent proposing a new payment method. A compliance agent verifies the JSON payload structure before allowing the creation. Deletion requires the same rigorous debate. The `delete_instrument` tool irreversibly vaporizes explicit validations. By forcing two agents to agree on the churn flags, you prevent accidental wipes of active billing profiles.

Negotiated Voids and Refunds via MCP Server

Dropping limits before capture saves gateway fees using the `void_payment` tool. Your agents discuss the timeline. The performance agent pushes for a quick void to save costs, while the support agent checks if the customer might still want the order. If the charge already settled, the discussion shifts. They decide to use `refund_payment` instead. The MCP Server executes the agreed-upon action, moving cash exactly to the Visa or Mastercard network based on the agents' final consensus.

Setup guide

Set up Checkout.com 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 Checkout.com 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="Checkout.com_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Checkout.com 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 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Checkout.com now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Checkout.com MCP in AutoGen

Install the autogen-ext package with MCP support. Point mcp_server_tools to your Vinkius HTTP endpoint. Pass the resulting tool list into your AssistantAgent constructor.

Yes, if you allow it. Multiple agents can review a refund request, debate the policy, and call the refund_payment tool once they reach an agreement.

The McpToolAdapter automatically handles schema conversion and returns the exact error from the API. The agents read the error, discuss why it failed, and try a different approach.

Single agents make mistakes. Forcing a security persona to negotiate with an execution persona prevents accidental charges and ensures strict adherence to your business logic.

Execution happens in a remote MCP server V8 isolate. Your agents process CRM records and transaction IDs, but raw payment data stays out of the prompt window. Vinkius destroys the container memory the moment the task completes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript