How to Use the Dada Now Delivery MCP in Google ADK
Connect your Gemini agents to Dada Now's delivery network using Google ADK. Analyze logistics data right from BigQuery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Dada Now Delivery MCP to Google ADK
Create your Vinkius account to connect Dada Now Delivery 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.
Automate Your Enterprise Delivery Pipeline
A Gemini agent can use its long context window to process thousands of order requests from a database. From there, it can loop through them, scheduling each one with Dada Now using the `add_order` tool. This fits right into your existing Google Cloud setup. An agent can pull new jobs from a BigQuery table, create the deliveries, and then use `query_order_status` to write the live tracking status back to your database. It's a closed loop inside your GCP project.
Run Logistics and Cost Analysis
Your agent can do more than just schedule deliveries. It can run scenarios. Use the `get_city_code` and `query_order_fee` tools to compare shipping costs across different regions before you dispatch anything. All the data your agent collects can be piped directly into Vertex AI. Track order statuses, log driver issues with `add_complaint`, and analyze the performance of your delivery network. This turns your agent from a simple task-doer into an analytics engine.
Manage Stores with Your Google ADK Agent
If you manage a network of stores, you can build an agent to handle the administration. It can use `add_shop` to bring new partners online and `update_shop` to push changes to their information in Dada Now's system. The point of this MCP Server is to provide the actions. Your Gemini agent, with its powerful reasoning, decides *when* to use them. You can trigger these actions based on events from other Google Cloud services, like a new entry in a Cloud SQL database.
Set up Dada Now Delivery MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Dada Now Delivery tools in your ADK agent.
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 Delivery_agent",
model="gemini-2.0-flash",
instruction="You have access to Dada Now Delivery 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. 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 Delivery MCP in Google ADK
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