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How to Use the Dada Now / 达达 MCP in Google ADK

Connect Gemini to China's delivery grid. Use Google ADK to dispatch couriers, calculate fees, and manage Dada Now shops directly.

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Google ADK

Connect Dada Now / 达达 MCP to Google ADK

Create your Vinkius account to connect Dada Now / 达达 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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Dispatch Orders with Gemini

The `create_order` tool lets your Gemini agent push delivery requests straight to the local network. You feed customer addresses from BigQuery into your agent context. It formats the data and triggers the courier dispatch automatically. Connecting this MCP Server requires passing `McpToolset` to your `LlmAgent` configuration. Google ADK handles the HTTP transport natively. You get immediate access to real-time logistics without building custom API connectors.

Long-Context Dada Now / 达达 Routing

Evaluating delivery costs across multiple regions relies on `query_delivery_fee` and `list_supported_cities`. Your agent ingests a massive list of potential delivery routes. Gemini's 1M+ token window processes the entire batch, calling the pricing tool for each valid city. You filter exposed tools using the `tool_names` parameter. If a specific agent only needs to calculate costs, you restrict it from calling `create_order`. This keeps your enterprise architecture secure and predictable.

Merchant Fleet Operations

Onboarding new merchants requires `add_shop` and `update_shop_info`. Your Vertex AI pipeline extracts business details from incoming PDFs and feeds them to the agent. The agent then registers the shop on the platform instantly. Tracking those locations is handled by `get_shop_detail`. When a customer asks about a specific store, your agent pulls the live metadata. Vinkius manages the authentication for the MCP Server, so your Google Cloud environment stays focused on reasoning.

Setup guide

Set up Dada Now / 达达 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 Dada Now / 达达 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="Dada Now / 达达_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Dada Now / 达达 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 Dada Now / 达达. 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.

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Common questions about Dada Now / 达达 MCP in Google ADK

Install `google-adk` and configure `StreamableHttpServerParameters` with your Vinkius URL. Wrap it in an `McpToolset` and pass it to your `LlmAgent` tools array.
It can. The agent uses `get_order_detail` to pull live tracking information. You pipe this data back into BigQuery for analytics.
Google ADK lets you filter endpoints. Pass an array of allowed strings to the `tool_names` parameter to block destructive actions like `cancel_order`.
Yes. Your agent reads customer records from your enterprise database and passes them directly into `create_order`. The protocol bridges the gap between your private data and external logistics.
The MCP Server processes physical drop-off points and shop metadata. Vinkius secures this flow using zero-trust, ephemeral containers. No persistent tracking data remains on the integration layer after your agent finishes the transaction.

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