How to Use the Meituan Waimai Open API / 美团外卖 MCP in Google ADK

Q: Can I load Meituan Waimai Open API / 美团外卖 delivery logs into BigQuery using Google ADK?

Yes, your agent can call trackdelivery to fetch real-time dispatch data and write it directly into BigQuery. This lets you run SQL queries on your delivery performance.

Q: How does Google ADK manage store status via Meituan Waimai Open API / 美团外卖?

The agent uses setstoreoffline or setstoreonline depending on your business rules. You can trigger these actions based on database values or scheduled cloud functions.

Sync your Meituan Waimai Open API operations with BigQuery and Google ADK to run automated delivery pipelines.

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Connect Meituan Waimai Open API / 美团外卖 MCP to Google ADK

Create your Vinkius account to connect Meituan Waimai Open API / 美团外卖 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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Setup Meituan Waimai Open API / 美团外卖 with Google ADK

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Toggle Store Availability via Google ADK

The Gemini agent runs `set_store_online` and `set_store_offline` to change your restaurant's open status on Meituan. This integrates your physical kitchen hours directly with your cloud-based schedule. By calling `get_store_info`, the agent confirms the status change succeeded before committing the state to your BigQuery logs. Running this MCP Server keeps your digital storefront in sync with your actual kitchen doors.

Process Meituan Orders with Google ADK

Your agent calls `list_recent_orders` to pull active orders and uses `confirm_order` to accept them. This replaces manual dispatch dashboards with an automated pipeline. The agent verifies payload details using `get_order_detail` to ensure kitchen staff receive correct preparation steps. This minimizes fulfillment errors on high-volume days.

Analyze Delivery Times and Reviews in BigQuery

The agent uses `track_delivery` to feed real-time rider dispatch logs directly into your Google Cloud database. You can analyze delivery latency trends without exporting CSV files. It calls `get_store_comments` to pull raw customer feedback for sentiment analysis. This MCP connection lets your enterprise agent correlate bad reviews with specific delivery delays automatically.

Setup guide

Set up Meituan Waimai Open API / 美团外卖 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

Install Google ADK

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

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

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 Open API / 美团外卖 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 Open API / 美团外卖_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Meituan Waimai Open API / 美团外卖 tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Meituan Waimai Open API / 美团外卖 MCP in Google ADK

Initialize the McpToolset using your Vinkius HTTP transport URL. Pass this toolset to your LlmAgent constructor so your Gemini models can access the Meituan operations tools.

Yes, your agent can call `track_delivery` to fetch real-time dispatch data and write it directly into BigQuery. This lets you run SQL queries on your delivery performance.

The agent uses `set_store_offline` or `set_store_online` depending on your business rules. You can trigger these actions based on database values or scheduled cloud functions.

No, Vinkius hosts and manages the MCP infrastructure for you. You only need to plug the provided connection URL into your Google ADK setup.

All customer comments and order history details are handled through a zero-trust architecture. Your credentials are encrypted at rest, and data is only held in volatile memory during active API calls.

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