How to Use the Shopline MCP in OpenAI Agents SDK

Q: How do I handle order data with Shopline using OpenAI Agents SDK?

You use getorderdetails to pull specific transaction records. The agent can then read the status, line items, and customer info for that single order.

Q: Can I get a list of all products in Shopline with OpenAI Agents SDK?

Yes, simply run listproducts. This returns every product available in your shopline store. It's the fastest way to audit inventory counts.

Q: Does the OpenAI Agents SDK support listing multiple collections for Shopline?

It does. You can call listcollections to pull every category your store uses. This helps structure product listings in your agent's memory.

Automate Shopline Backend Operations with OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Shopline MCP to OpenAI Agents SDK

Create your Vinkius account to connect Shopline to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Shopline with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Process Full Order Lifecycles

The agent can fetch full order records using `get_order_details`. This gives your production system all the necessary data points for fulfillment, from purchase date to shipping status. You'll also use `list_orders` to check recent activity across many orders. It tracks when an order was placed and who bought it.

Manage Store Inventory Data

Need product info? Use `get_product_details` for granular data on any item, including descriptions and pricing. The agent pulls this detail into its workflow. It also accesses `list_products`, letting your system see every single SKU in the shopline store at once.

Track Customer Behavior

The toolset lets you list all customers via `list_customers`. Your agent can build out customer profiles for marketing or support tasks. Plus, `get_shop_info` gives context about the store itself. This helps your agent understand who it's working for.

Setup guide

Set up Shopline 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 Shopline tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Shopline 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="Shopline Agent",
            instructions="You have access to Shopline 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 Shopline. 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 Shopline 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 Shopline MCP in OpenAI Agents SDK

You use `get_order_details` to pull specific transaction records. The agent can then read the status, line items, and customer info for that single order.

Yes, simply run `list_products`. This returns every product available in your shopline store. It's the fastest way to audit inventory counts.

The server provides tools to read order details, list products, get customer profiles, and view general shop information. It's a full backend data source.

It does. You can call `list_collections` to pull every category your store uses. This helps structure product listings in your agent's memory.

The primary sensitive data handled here are customer records, accessed through `list_customers`. The system ensures these actions are logged for compliance.

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