How to Use the Meituan Waimai Open API / 美团外卖 MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK handle store closures on Meituan Waimai Open API / 美团外卖?

The agent can trigger setstoreoffline based on custom triggers, like a high volume of active orders or a specific time. This prevents kitchen overload by stopping new incoming orders instantly.

Run your Meituan Waimai Open API storefront with guardrails and automated order processing using the OpenAI Agents SDK.

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Connect Meituan Waimai Open API / 美团外卖 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Meituan Waimai Open API / 美团外卖 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 Meituan Waimai Open API / 美团外卖 with OpenAI Agents SDK

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Control Store Status with OpenAI Agents SDK

Your OpenAI agent uses `set_store_online` and `set_store_offline` to control your storefront state directly from your scripts. You do not need to manually toggle status in the merchant portal when kitchen demand spikes or shifts end. The agent checks current operations via `get_store_info` before changing states. Running this MCP Server ensures your shop never accepts orders when the kitchen is backed up or closed.

Automate Order Confirmation and Cancellation

The agent runs `confirm_order` to accept incoming requests and uses `get_order_detail` to verify item availability against your active inventory. This stops order cancellation penalties before they happen. If an item is out of stock, the agent executes `cancel_order` immediately. Using this MCP tool keeps your merchant rating high by reducing customer wait times for unavailable food.

Track Deliveries and Monitor Customer Reviews

Your agent uses `track_delivery` to monitor rider progress and update your local database in real time. You get exact delivery coordinates without polling the Meituan merchant app manually. The agent processes feedback by calling `get_store_comments` to flag negative reviews. This lets you respond to operational issues in your kitchen immediately.

Setup guide

Set up Meituan Waimai Open API / 美团外卖 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 Meituan Waimai Open API / 美团外卖 tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Meituan Waimai Open API / 美团外卖 tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Meituan Waimai Open API / 美团外卖 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="Meituan Waimai Open API / 美团外卖 Agent",
            instructions="You have access to Meituan Waimai Open API / 美团外卖 tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Meituan Waimai Open API / 美团外卖 MCP in OpenAI Agents SDK

Install the SDK using pip, then initialize the MCPServerStreamableHttp class with your Vinkius endpoint. Pass the server instance directly to your Agent constructor to let the agent auto-discover all ten tools.

Yes, you can write an agent that polls for orders and calls `confirm_order` automatically. We recommend adding a validation step with `get_order_detail` to check kitchen capacity before confirming.

The agent can trigger `set_store_offline` based on custom triggers, like a high volume of active orders or a specific time. This prevents kitchen overload by stopping new incoming orders instantly.

The MCP integration catches the exception and returns the error payload to your OpenAI agent. The agent can then retry the `track_delivery` call or alert your staff via a handoff tool.

This server processes sensitive order details and customer addresses inside secure V8 isolates on Vinkius. No order information or customer addresses are stored or cached on our infrastructure after the API call completes.

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