How to Use the Veeqo MCP in OpenAI Agents SDK

Q: Can Veeqo inventory be managed with OpenAPI Agents SDK?

Absolutely. You can use listinventoryproducts to pull product data, and then your agent uses that information to perform other actions like creating manual orders using createmanualorder.

Q: What kind of operations does Veeqo support with OpenAI Agents SDK?

This MCP Server supports reading customer lists (listcustomers), retrieving order details, and managing shipments. It covers the core needs of multi-channel e-commerce.

Build production e-commerce agents with OpenAI Agents SDK: Manage Veeqo inventory, orders, and customers.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Veeqo MCP to OpenAI Agents SDK

Create your Vinkius account to connect Veeqo to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Veeqo with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage product data via the MCP Server

This tool uses `get_product_details` to pull specific item information. You can check if a product has been listed or what its current specifications are. It also includes `list_inventory_products`, which lets your agent see every product available in Veeqo's catalog. This is key for building reliable, automated inventory checks.

Create and track customer orders

Need to make an order manually? Use `create_manual_order` to generate a new record right from your agent. The system also lets you get specifics on existing jobs using `get_order_details`. For seeing what's coming up, the `list_orders` tool pulls all Veeqo orders into your workflow. You can pair this with `list_customers` to ensure every order is tied back to a known user.

Handle shipping and customer lists

The MCP Server exposes `list_shipments`, giving your agent visibility into all current outgoing packages. This helps track where inventory is right now. Plus, the ability to run `list_customers` lets you maintain a clean list of users. It keeps your whole system grounded in verified Veeqo customer data.

Setup guide

Set up Veeqo MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Veeqo tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Veeqo tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Veeqo tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Veeqo Agent",
            instructions="You have access to Veeqo tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Veeqo. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Veeqo now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Veeqo MCP in OpenAI Agents SDK

Your agent auto-discovers all the tools on this MCP Server, so you don't need to write any custom connectors. You just tell it what job needs doing—like listing orders—and your guardrails handle the rest.

Yes. Because you are building a production system, all actions run through built-in guardrails that validate every API call before it executes. The whole process is fully traceable via the OpenAI dashboard.

Absolutely. You can use `list_inventory_products` to pull product data, and then your agent uses that information to perform other actions like creating manual orders using `create_manual_order`.

This MCP Server supports reading customer lists (`list_customers`), retrieving order details, and managing shipments. It covers the core needs of multi-channel e-commerce.

The server touches customer records and order fulfillment data. You're dealing with structured information like customer names, addresses, and purchase histories.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript