How to Use the Checkout.com MCP in Pydantic AI

Q: How do I attach Checkout.com to Pydantic AI?

Install the framework with pip install pydantic-ai-slimmcp. Initialize the MCP server connection using MCPToolset with your Vinkius HTTP URL and add it to your agent's toolsets list.

Bring strict type safety to your Checkout.com payments using Pydantic AI.

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Connect Checkout.com MCP to Pydantic AI

Create your Vinkius account to connect Checkout.com to Pydantic AI 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 Pydantic AI

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Perplexity

Type-safe Checkout.com transactions

Financial operations demand exact payloads. When your agent triggers `request_payment`, Pydantic AI validates the entire JSON structure at runtime before sending it to the MCP Server. Bad data causes the agent to fail loudly with a validation error. You never have to worry about silent corruption or hallucinated currency fields when running a `capture_payment` operation.

Validate refunds and voids instantly

Moving money backward requires just as much precision. A support agent can execute `void_payment` to drop authorization limits, cutting out heavy gateway fees before settlement. Settled transactions require `refund_payment` instead. The framework catches any missing transaction IDs instantly, ensuring the cash goes back exactly to the originating network.

Manage vaults with strict MCP schemas

Customer payment instruments must match your internal database schemas perfectly. Invoking `create_instrument` provisions a highly-available JSON payload that generates hard bindings. Reading those bindings is just as strict. The agent calls `get_instrument` to identify active arrays, and the framework parses the response directly into your predefined Python classes.

Setup guide

Set up Checkout.com MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "checkoutcom-1-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Checkout.com tools.",
)

result = await agent.run("List recent Checkout.com transactions")
print(result.output)

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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 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

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Common questions about Checkout.com MCP in Pydantic AI

Install the framework with pip install pydantic-ai-slim[mcp]. Initialize the MCP server connection using MCPToolset with your Vinkius HTTP URL and add it to your agent's toolsets list.

Every parameter required by the payment gateway gets checked against the internal schema. The agent throws a hard error if anything is missing.

Local models work perfectly. Because the framework is model-agnostic, you can route payment requests through local LLMs, OpenAI, or Anthropic without changing your code.

The older HTTP class is deprecated. Using the unified toolset ensures your agent parses gateway state and transaction rules correctly every time.

Vinkius isolates the execution environment completely. The server extracts structural properties driving active billing logic, but the ephemeral architecture guarantees persistent data never leaks into your application logs.

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