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How to Use the Meituan Waimai MCP in Google ADK

Connect your Google ADK agent to Meituan Waimai for automated restaurant management.

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Google ADK

Connect Meituan Waimai MCP to Google ADK

Create your Vinkius account to connect Meituan Waimai to Google ADK 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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Real-time delivery tracking

Monitor your active orders by using `get_order_list` to fetch the current queue and `get_order_detail` to inspect individual delivery progress. This keeps your agent informed of all pending tasks. Use `mark_delivering` to update statuses as orders leave the kitchen. Your agent manages the logistics, freeing you from manual monitoring.

Direct restaurant data access

Retrieve essential business details by calling `get_restaurant_info` with your specific POI ID. Your agent uses this data to confirm business hours and operational status before attempting any actions. Sync your menu data using `list_menus` to ensure your agent always knows what is available. This keeps your operational decisions grounded in current reality.

Automated refund processing

Manage customer disputes by using `handle_refund` to process requests based on order data. Your agent evaluates the claim using `get_order_detail` before executing the decision. Keep your refund process consistent by allowing the agent to handle common cases. This reduces the time spent on manual order corrections.

Setup guide

Set up Meituan Waimai MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Meituan Waimai tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Meituan Waimai_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Meituan Waimai tools via MCP.",
    tools=mcp_tools,
)

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Meituan Waimai MCP in Google ADK

Install the package and use `McpToolset` to wrap the server parameters. Add this toolset to your `LlmAgent` configuration to expose the order and menu tools to your Gemini models.
Yes, you can use the `tool_names` filter within the `McpToolset` configuration. This restricts the agent to only the specific functions you want it to perform, like `confirm_order` or `cancel_order`.
Absolutely. Since Google ADK handles the data flow, your agent can process order information and pipe it into BigQuery or other infrastructure as part of your custom agent workflow.
The server supports both Stdio and HTTP transports. You choose the one that fits your deployment architecture when configuring the `StreamableHttpServerParameters`.
Your data remains restricted to the authorized transport layer. The MCP Server acts as a secure bridge, ensuring your restaurant's order history is never exposed beyond the agent's current task.

Start using the Meituan Waimai MCP today

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Built & Managed by Vinkius 30s setup 10 tools

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