Can I process a refund for a payment ID through the agent?

Yes! Use the `refund_checkout_payment` tool with the payment ID. You can also specify an optional amount in minor units for a partial refund. The agent will trigger the refund process in Checkout.com immediately.

How do I see the full history of actions for a payment?

Use the `list_payment_actions` tool with the unique payment ID. Your agent will fetch all lifecycle events, such as Authorization, Capture, and Refund, along with their timestamps.

Where do I find my API Prefix?

The API Prefix is the first 8 characters of your client_id (excluding the cli_ prefix). You can also find it in your Checkout.com Hub under Developers -> API Keys.

Checkout.com MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Checkout.com
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Checkout.com through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Checkout.com "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Checkout.com?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Checkout.com tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Checkout.com MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Checkout.com with type-safe schemas

Why Use Pydantic AI with the Checkout.com MCP Server

Pydantic AI provides unique advantages when paired with Checkout.com through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Checkout.com integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Checkout.com connection logic from agent behavior for testable, maintainable code

Checkout.com + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Checkout.com MCP Server delivers measurable value.

Type-safe data pipelines: query Checkout.com with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Checkout.com tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Checkout.com and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Checkout.com responses and write comprehensive agent tests

Checkout.com MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Checkout.com to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Checkout.com to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Checkout.com + Pydantic AI FAQ

Common questions about integrating Checkout.com MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Checkout.com MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.