How do I find my Afterpay Merchant credentials?

Log in to your Afterpay Merchant Portal, go to **Settings** > **API**. You can generate and retrieve your **Merchant ID** and **Secret Key** there. Make sure to choose the correct region (US, AU, UK).

Can I process a partial refund via the agent?

Yes! Use the `refund_payment` tool and provide the `orderId` and the specific amount. Your agent will submit the partial refund request to Afterpay for processing.

What is the difference between Capture and Auth?

'Capture' finalizes the payment immediately. 'Auth' (Authorization) holds the funds on the customer's account, and you must call the capture tool later (usually when shipping) to finalize the transaction.

Afterpay MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: Afterpay
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Afterpay through 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 Afterpay "
            "(5 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 Afterpay MCP Server

Connect your Afterpay (Clearpay) merchant account to your AI agent to unlock enterprise-grade BNPL (Buy Now, Pay Later) orchestration. From creating secure checkout tokens to monitoring payment statuses and processing partial refunds, your agent handles your financial transactions through natural conversation.

Pydantic AI validates every Afterpay tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through 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

Checkout Orchestration — Create new checkout sessions and retrieve secure redirect tokens for your customers
Payment Monitoring — List and audit historical payments, check capture statuses, and retrieve technical metadata
Refund Management — Initiate full or partial refunds for specific orders directly from your chat interface
Configuration Audit — Retrieve merchant-specific configuration including minimum and maximum order limits
Transaction Insights — Quickly identify successful captures or pending authorizations without manual dashboard exports

The Afterpay MCP Server exposes 5 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 Afterpay to Pydantic AI via MCP

Follow these steps to integrate the Afterpay 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 5 tools from Afterpay with type-safe schemas

Why Use Pydantic AI with the Afterpay MCP Server

Pydantic AI provides unique advantages when paired with Afterpay 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 Afterpay integration code

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

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

Afterpay + Pydantic AI Use Cases

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

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

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

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

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

Afterpay MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect Afterpay to Pydantic AI via MCP:

create_checkout

The amount must fall within the configured limits. Initiate a secure Afterpay BNPL payment session token for a customer transaction

get_afterpay_config

Retrieve the minimum and maximum order transaction limits enforced by your Afterpay merchant account

get_payment_details

Retrieve detailed financial status, settlement info, and logs for a specific Afterpay order ID

list_payments

Retrieve historical BNPL transactions and authorizations securely from your Afterpay account

refund_payment

Always verify the remaining balance before refunding. Initiate a full or partial refund to immediately credit a consumer against a previously captured Afterpay order

Example Prompts for Afterpay in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Afterpay immediately.

"Create an Afterpay checkout session for $100.00."

"Check the status of order ID '12345678'."

"Show me my current Afterpay order limits."

Troubleshooting Afterpay MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Afterpay + Pydantic AI FAQ

Common questions about integrating Afterpay 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 Afterpay MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.