How do I get my Meituan Waimai App ID and App Secret?

Log in to the [Meituan Waimai Developer Console](https://developer.waimai.meituan.com/), navigate to **API Documentation** > **Access Guide**, and register your application. You'll receive an App ID and App Secret. Make sure your application has the required API permissions for order management, menu access, and refund handling. The signature algorithm uses MD5 hashing of sorted parameters combined with your App Secret.

What's the order lifecycle in Meituan Waimai?

The typical order flow is: **1) Pending (待确认, status=1)** — Customer placed order, awaiting merchant confirmation. **2) Confirmed (已确认, status=3)** — Merchant accepted the order, kitchen starts preparation. **3) Delivering (配送中, status=5)** — Food is out for delivery with rider. **4) Completed (已完成, status=7)** — Customer received the order, payment settled. **5) Cancelled (已取消, status=8)** — Order was cancelled by merchant or customer. At each stage, you can query details, and merchants can con

How do I handle stock management and sold-out items?

Use the `update_stock` tool to set stock quantities for menu items. Set `stock=0` to mark an item as sold out (it will immediately disappear from the customer menu). Set a positive number to replenish stock. Get the food ID from the `list_menus` tool first. This is critical during peak hours when ingredients run out — quickly updating stock prevents customers from ordering unavailable items and reduces refund requests.

Meituan Waimai MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Meituan Waimai
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Meituan Waimai through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Meituan Waimai "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Meituan Waimai?"
    )
    print(result.data)

asyncio.run(main())

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About Meituan Waimai MCP Server

Connect your Meituan Waimai (美团外卖) restaurant operations to any AI agent and transform your delivery management through natural conversation. Meituan Waimai is China's largest food delivery platform, handling millions of daily orders across hundreds of thousands of restaurants.

Pydantic AI validates every Meituan Waimai tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Order Management — Retrieve detailed order information, list orders by status (pending, confirmed, delivering, completed, cancelled)
Order Lifecycle Control — Confirm new orders, mark orders as delivering, complete deliveries, or cancel with explanations
Refund Processing — Approve or reject customer refund requests with detailed reasoning and order verification
Restaurant Information — Query restaurant details including ratings, addresses, business hours, and delivery coverage
Menu Management — List full restaurant catalogs, filter by category, view prices, descriptions, and stock levels
Stock Control — Update item availability in real-time, mark items as sold out, or replenish inventory
Delivery Tracking — Mark orders as out for delivery with rider information for customer transparency

The Meituan Waimai MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Meituan Waimai to Pydantic AI via MCP

Follow these steps to integrate the Meituan Waimai MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Meituan Waimai with type-safe schemas

Why Use Pydantic AI with the Meituan Waimai MCP Server

Pydantic AI provides unique advantages when paired with Meituan Waimai through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Meituan Waimai integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Meituan Waimai connection logic from agent behavior for testable, maintainable code

Meituan Waimai + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Meituan Waimai MCP Server delivers measurable value.

Type-safe data pipelines: query Meituan Waimai with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Meituan Waimai tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Meituan Waimai and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Meituan Waimai responses and write comprehensive agent tests

Meituan Waimai MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Meituan Waimai to Pydantic AI via MCP:

cancel_order

Requires a cancellation reason explaining why the order is being cancelled (e.g., "restaurant closed", "item out of stock", "unable to prepare"). The order must be in a cancellable state (not already completed or delivered). Use carefully as cancellations impact merchant ratings and customer experience. Cancel a Meituan delivery order with a reason

complete_order

This is the final state in the order lifecycle and indicates the customer has received their food. Should only be called after the delivery rider has confirmed drop-off or the customer has picked up the order. Triggers payment settlement to the merchant. Mark a Meituan delivery order as completed

confirm_order

This transitions the order to confirmed status and begins the preparation workflow. Required step before marking the order as delivering. Use the order ID from the order list and the restaurant POI ID. Essential for acknowledging new orders and starting the fulfillment process. Confirm a pending Meituan delivery order

get_order_detail

Use the order ID obtained from the order list to track specific orders, verify order contents, check delivery addresses, or investigate customer complaints. Essential for order management and customer service operations. Get detailed information about a specific Meituan delivery order

get_order_list

Filter by order status: 1=待确认 (pending confirmation), 3=已确认 (confirmed), 5=配送中 (delivering), 7=已完成 (completed), 8=已取消 (cancelled). Pagination uses page number and limit parameters. Critical for monitoring incoming orders, tracking order volume, and managing the order pipeline. List orders for a Meituan restaurant with optional status filter

get_restaurant_info

Use the POI ID (Point of Interest identifier) to get restaurant details before managing orders, verifying delivery coverage, or checking business hours. Essential for multi-restaurant operators managing multiple POIs. Get detailed information about a Meituan restaurant/POI

handle_refund

When rejecting, provide a reason explaining the refusal. Refund requests typically come with customer explanations and evidence. Use order details to verify the claim before making a decision. Approved refunds are processed back to the customer's original payment method. Approve or reject a refund request for a Meituan order

list_menus

Optionally filter by category ID to get items from a specific menu section (e.g., appetizers, mains, drinks). Critical for inventory management, price updates, and menu optimization. Returns stock quantities to help identify low-stock items. List menu items for a Meituan restaurant

mark_delivering

Optionally includes delivery rider name and phone number for customer tracking. Use this for self-delivery orders where the restaurant manages their own riders. For Meituan-managed delivery, the platform handles this automatically. Mark a Meituan order as being delivered (out for delivery)

update_stock

Use this to mark items as sold out (stock=0) when ingredients run out, or replenish stock when new inventory arrives. Stock changes immediately reflect on the customer-facing menu. Essential for preventing orders for unavailable items and maintaining accurate inventory. Food ID is obtained from the list_menus tool. Update stock quantity for a menu item in Meituan

Example Prompts for Meituan Waimai in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Meituan Waimai immediately.

"Show me all pending orders for my restaurant POI123."

"Mark food ID 4567 as sold out for POI123 — we ran out of chicken."

"Handle refund request for order ORD-789 — customer says food never arrived. Approve it."

Troubleshooting Meituan Waimai MCP Server with Pydantic AI

Common issues when connecting Meituan Waimai to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Meituan Waimai + Pydantic AI FAQ

Common questions about integrating Meituan Waimai MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Meituan Waimai MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.