Bring Food Delivery
to VS Code Copilot
Create your Vinkius account to connect Meituan Waimai to VS Code Copilot and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Meituan Waimai App ID and App Secret
- Start managing your restaurant operations from Claude, Cursor, or any MCP-compatible client
Your AI agent becomes your restaurant operations manager, handling order confirmations, monitoring stock levels, processing refunds, and optimizing your menu — all through conversational commands.
Who is this for?
- Restaurant Owners — Monitor incoming orders, manage menus, and handle refunds without logging into the merchant dashboard
- Multi-Location Operators — Query order volumes and restaurant info across multiple POIs from a single AI interface
- Kitchen Staff — Check order details, confirm new orders, and mark items as sold out when ingredients run low
- Customer Service — Track order status, investigate refund claims, and resolve delivery issues quickly
Built-in capabilities (10)
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
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
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
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
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
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
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
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
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)
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
Why VS Code Copilot?
GitHub Copilot Agent mode brings Meituan Waimai data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
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Project-scoped MCP configs (
.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access - —
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
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GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Meituan Waimai in VS Code Copilot
Why run Meituan Waimai with Vinkius?
The Meituan Waimai connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
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Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Meituan Waimai using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Meituan Waimai and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Meituan Waimai to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Meituan Waimai for VS Code Copilot
Every request between VS Code Copilot and Meituan Waimai is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get my Meituan Waimai App ID and App Secret?
Log in to the Meituan Waimai Developer Console, 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 confirm, mark delivering, or complete the order.
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.
Which VS Code version supports MCP?
MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
How do I switch to Agent mode?
Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
Can I restrict which MCP tools Copilot can access?
Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
Does MCP work in VS Code Remote or Codespaces?
Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.
MCP tools not available
Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.
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