What is the difference between Authorize and Confirm in Zip?

Authorize initiates the transaction and checks for customer funds. Confirm (used in some regions) finalizes the checkout intent before capture.

Can I process partial captures via the agent?

Yes, the `capture_zip_payment` tool accepts an optional JSON body where you can specify a partial amount to capture if only part of the order is shipping.

How do I handle different regions like US and AU?

Specify your account region ('US' or 'AU') in the configuration settings. The MCP server automatically routes requests to the correct Zip gateway URL.

Zip MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Zip
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 Zip 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 Zip "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Zip?"
    )
    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 Zip MCP Server

Connect your Zip (formerly Quadpay) merchant account to any AI agent to automate your Buy Now, Pay Later (BNPL) workflows. This MCP server enables your agent to initiate checkouts, manage order authorizations, and process captures or refunds directly from natural language interfaces.

Pydantic AI validates every Zip tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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 Initiation — Create new checkout sessions and retrieve redirect URLs for customers
Order Management — Authorize and confirm orders across US and Global gateway environments
Payment Ingestion — Capture authorized funds once goods are shipped to finalize transactions
Financial Resolution — Process full or partial refunds and void authorized but uncaptured payments
Status Monitoring — Retrieve real-time status and lifecycle updates for any Zip order
Account Insight — Access merchant configuration, currency limits, and account-level settings

The Zip 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 Zip to Pydantic AI via MCP

Follow these steps to integrate the Zip 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 Zip with type-safe schemas

Why Use Pydantic AI with the Zip MCP Server

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

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

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

Zip + Pydantic AI Use Cases

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

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

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

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

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

Zip MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Zip to Pydantic AI via MCP:

authorize_zip_order

Typically used in US gateway integrations. Authorize a payment order

capture_zip_payment

Capture funds for an authorized order

confirm_zip_order

Finalize an authorized order

create_zip_checkout

Requires amount, currency, and redirect URLs. Initialize a new Zip checkout session

get_zip_merchant_config

Retrieve merchant account configuration

get_zip_order_status

g., Authorized, Captured, Cancelled) for a target order. Check the status of a Zip order

refund_zip_payment

Process a refund for an order

void_zip_payment

Void an authorized but uncaptured payment

Example Prompts for Zip in Pydantic AI

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

"Create a Zip checkout for $100.00 USD."

"Check the status of Zip order ID '98765'."

"Capture payment for authorized order '98765'."

Troubleshooting Zip MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Zip + Pydantic AI FAQ

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