VTEX Orders MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect VTEX Orders through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Orders Assistant",
instructions=(
"You help users interact with VTEX Orders. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from VTEX Orders"
)
print(result.final_output)
asyncio.run(main())
* 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 Orders MCP Server
Connect your VTEX Order Management System (OMS) to any AI agent and take full control of your store's order lifecycle through natural conversation.
The OpenAI Agents SDK auto-discovers all 6 tools from VTEX Orders through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries VTEX Orders, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Order Lookup — Retrieve the full details of any order by ID, including items, client profile, payment method, logistics, and current status.
- Order Search — Search and filter orders by status (e.g., 'ready-for-handling', 'invoiced', 'canceled') with built-in pagination for large result sets.
- Status Updates — Advance orders through the fulfillment pipeline by updating their status (e.g., move from 'ready-for-handling' to 'handling').
- Shipment Tracking — Retrieve tracking information for shipped packages, including carrier, tracking number, and tracking URL.
- Invoice Registration — Attach tax invoices (NF-e) and tracking numbers to orders, automatically moving them to 'Invoiced' status.
- Order Cancellation — Cancel orders with an optional reason, triggering automatic refund processing.
The VTEX Orders 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 Orders to OpenAI Agents SDK via MCP
Follow these steps to integrate the VTEX Orders 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 Orders
Why Use OpenAI Agents SDK with the VTEX Orders MCP Server
OpenAI Agents SDK provides unique advantages when paired with VTEX Orders 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 Orders + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the VTEX Orders MCP Server delivers measurable value.
Automated workflows: build agents that query VTEX Orders, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries VTEX Orders, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through VTEX Orders tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query VTEX Orders to resolve tickets, look up records, and update statuses without human intervention
VTEX Orders MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect VTEX Orders to OpenAI Agents SDK via MCP:
cancel_order
Cancel an order
get_order
Get full details of a specific order
get_tracking_info
Get tracking info for an order package
register_invoice
Register a tax invoice and tracking number
search_orders
g., "ready-for-handling"). Search for orders by status or pagination
update_order_status
Update the status of an order
Example Prompts for VTEX Orders in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with VTEX Orders immediately.
"Show me the details of order v-1234567890"
"List all orders with status 'ready-for-handling'"
"Cancel order v-444 — customer requested wrong size"
Troubleshooting VTEX Orders MCP Server with OpenAI Agents SDK
Common issues when connecting VTEX Orders to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
VTEX Orders + OpenAI Agents SDK FAQ
Common questions about integrating VTEX Orders MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect VTEX Orders with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect VTEX Orders to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
