How to Use the Youzan / 有赞 MCP in OpenAI Agents SDK

Q: Do I need special setup for Youzan / 有赞 with the OpenAI Agents SDK?

No. The setup is straightforward: install openai-agents and use an async context manager to pass your MCP Server instance. Tools auto-discover, so you don't write any tool calling logic manually.

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Connect Youzan / 有赞 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Youzan / 有赞 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.

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Setup Youzan / 有赞 with OpenAI Agents SDK

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Perplexity

Handle complex customer lookups.

When you need to know details about a shopper, start with `get_customer` and `list_customers`. Your agent can pull specific shopper records by ID or run targeted searches on the full customer list. It’s perfect for building support flows. If a user asks about an account issue, your agent first calls `get_customer` to verify identity before proceeding with any other action.

Process and track sales transactions.

Need visibility into what actually sold? Use `list_orders` to get a list of completed trades. You can then dive deeper by calling `get_order` for specific details, like items purchased or shipping status. Furthermore, if you need high-level metrics, the agent pulls performance numbers using `get_sales_stats`. This lets your production system track sales performance without manual database queries.

Manage product inventory and listings.

Before an order ships, your agent checks stock levels. Running `get_inventory` tells you exactly how many units of a specific SKU are available right now. You can also build out the product catalog by running `list_items` or getting details on a single item via `get_item`. This ensures that any workflow involving sales always cross-references up-to-date stock data.

Setup guide

Set up Youzan / 有赞 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 Youzan / 有赞 tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Youzan / 有赞 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="Youzan / 有赞 Agent",
            instructions="You have access to Youzan / 有赞 tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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

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Common questions about Youzan / 有赞 MCP in OpenAI Agents SDK

The OpenAI Agents SDK discovers all available tools automatically. You just pass the configured MCP Server instance to your Agent constructor, and it handles the rest of the connection.

Absolutely. Your agent can mix calls—for example, first calling `get_shop` for context, then using that shop ID to run `list_categories`, and finally fetching inventory with `get_inventory`. It handles multi-step reasoning.

This server touches customer records, including details accessed via `get_customer` and `list_customers`, as well as order data from `get_order`. All interactions are logged and traceable through the OpenAI dashboard.

No. The setup is straightforward: install `openai-agents` and use an async context manager to pass your MCP Server instance. Tools auto-discover, so you don't write any tool calling logic manually.

Yes. Because you are building a production agent system with built-in guardrails, the SDK validates every action before it hits the server. This prevents malformed or unexpected calls from corrupting your workflow.

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