How do I get my VTEX API credentials?

Log in to your VTEX Admin, go to **Account Settings → Application Keys**, and create a new App Key. You'll receive an App Key and App Token pair. You also need your Account Name (the subdomain you use to access the VTEX Admin, e.g., 'mystore'). No code, no SDK — just connect and go.

Can my agent simulate a full cart with shipping costs?

Yes! Use the 'simulate_order' tool with a list of items and a postal code. Your agent will return the full cart breakdown — totals, per-item pricing, available logistics options, estimated delivery dates, and applicable discounts — all without touching the actual store.

What happens when a customer asks support about their current cart?

Your support agent can use the 'get_orderform' tool to instantly retrieve the customer's active cart — items, quantities, prices, applied coupons, and shipping address. No need to switch tabs or navigate the admin. The agent can then apply a coupon or check shipping costs, all within the same conversation.

Can I validate payment conditions before placing bulk orders?

Absolutely. The 'simulate_payment' tool lets your agent validate payment tokens and check accepted conditions — perfect for operations teams running bulk order validations across multiple sellers and payment methods without processing real transactions.

VTEX Checkout MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Name: VTEX Checkout
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect VTEX Checkout through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

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

        agent = Agent(
            name="VTEX Checkout Assistant",
            instructions=(
                "You help users interact with VTEX Checkout. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from VTEX Checkout"
        )
        print(result.final_output)

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 VTEX Checkout MCP Server

Connect your VTEX e-commerce checkout API to any AI agent and streamline your store's pre-purchase operations through natural conversation.

The OpenAI Agents SDK auto-discovers all 6 tools from VTEX Checkout through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries VTEX Checkout, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Cart Simulation — Run complete order simulations with items, quantities, and sellers to instantly preview totals, discounts, and available shipping options for any postal code.
Shopping Cart Management — Retrieve the full state of any active shopping cart (orderform), including items, client profile, payment conditions, and logistics.
Coupon Management — Apply discount coupons to active carts and immediately see the impact on totals.
Client Profiles — Look up registered client profiles by user ID — retrieve name, CPF/CNPJ, email, and contact details.
Address Management — Register new shipping addresses for clients, streamlining the checkout flow.
Payment Simulation — Validate payment tokens and simulate payment conditions before placing an order.

The VTEX Checkout MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 VTEX Checkout to OpenAI Agents SDK via MCP

Follow these steps to integrate the VTEX Checkout MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 6 tools from VTEX Checkout

Why Use OpenAI Agents SDK with the VTEX Checkout MCP Server

OpenAI Agents SDK provides unique advantages when paired with VTEX Checkout through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

VTEX Checkout + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the VTEX Checkout MCP Server delivers measurable value.

Automated workflows: build agents that query VTEX Checkout, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries VTEX Checkout, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through VTEX Checkout tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query VTEX Checkout to resolve tickets, look up records, and update statuses without human intervention

VTEX Checkout MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect VTEX Checkout to OpenAI Agents SDK via MCP:

add_coupon

Apply a coupon to a shopping cart

create_address

Add a new address to a client profile

get_client_profile

Get client profile details

get_orderform

Get details of a specific shopping cart

simulate_order

Simulate a cart and shipping costs

simulate_payment

Simulate a payment validation

Example Prompts for VTEX Checkout in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with VTEX Checkout immediately.

"Simulate a cart with 2 units of product ID 1234 and shipping to ZIP 01310-100"

"Apply coupon code SUMMER20 to orderform abc123"

"Look up the client profile for user ID 98765"

Troubleshooting VTEX Checkout MCP Server with OpenAI Agents SDK

Common issues when connecting VTEX Checkout to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

VTEX Checkout + OpenAI Agents SDK FAQ

Common questions about integrating VTEX Checkout MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.