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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Meituan Waimai as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Meituan Waimai. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
Meituan Waimai
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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.

LlamaIndex agents combine Meituan Waimai tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 10 tools from Meituan Waimai

Why Use LlamaIndex with the Meituan Waimai MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Meituan Waimai tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Meituan Waimai tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Meituan Waimai, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Meituan Waimai tools were called, what data was returned, and how it influenced the final answer

Meituan Waimai + LlamaIndex Use Cases

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

01

Hybrid search: combine Meituan Waimai real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Meituan Waimai to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Meituan Waimai for fresh data

04

Analytical workflows: chain Meituan Waimai queries with LlamaIndex's data connectors to build multi-source analytical reports

Meituan Waimai MCP Tools for LlamaIndex (10)

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

01

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

02

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

03

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

04

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

05

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

06

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

07

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

08

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

09

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)

10

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 LlamaIndex

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

01

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

02

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

03

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

Troubleshooting Meituan Waimai MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Meituan Waimai + LlamaIndex FAQ

Common questions about integrating Meituan Waimai MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Meituan Waimai tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Meituan Waimai to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.