How to Use the Dada Now Delivery MCP in AutoGen

Deploy debating AutoGen agents to negotiate delivery fees, verify shop details, and dispatch Dada Now Delivery couriers.

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Connect Dada Now Delivery MCP to AutoGen

Create your Vinkius account to connect Dada Now Delivery to AutoGen 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 Dada Now Delivery with AutoGen

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Consensus-driven logistics dispatch

This MCP Server exposes `query_order_fee` and `add_order` to your AutoGen agents so they can coordinate booking budgets. A budget agent can check pricing while a logistics agent checks driver availability, debating whether the cost justifies the speed before booking. This prevents costly shipping mistakes. The agents must agree on the parameters, ensuring that details like tips added via `add_tip` are approved by the financial agent before the dispatch goes live.

Collaborative error recovery

Resolving delivery issues is managed by the `query_order_status` and `readd_order` tools during agent debates. When a delivery fails, your AutoGen agents work together to solve the issue. A customer service agent can detect a problem and hand the task to a manager agent to decide if they should retry. If the driver was at fault, the manager agent can submit a formal report using `add_complaint`. The entire conversation is handled autonomously, with agents confirming each other's actions before writing to the API.

Multi-agent shop coordination via MCP Server

Managing retail locations is handled by the `add_shop` and `update_shop` tools inside your multi-agent conversation. One agent can monitor physical store changes and update details, while another registers new locations. The agents communicate to ensure store profiles are always accurate before booking a pickup. If a store closes early, they coordinate to cancel pending dispatches using `cancel_order` to avoid driver wait fees.

Setup guide

Set up Dada Now Delivery MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Dada Now Delivery tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Dada Now Delivery_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Dada Now Delivery data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Dada Now Delivery_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Dada Now Delivery data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

Use the AutoGen MCP extension to fetch the tool definitions from your Vinkius URL. You then pass this tool list directly into your `AssistantAgent` constructor to give them access to the delivery API.

Yes, a financial agent can analyze the order urgency and use `add_tip` to bump the driver's payout. They debate the tip size based on the live tracking data fetched from `query_order_status`.

If an order expires, one agent flags the failure and another uses `readd_order` to submit it again. They verify the new status together to ensure the package is successfully assigned to a courier.

The tools are converted into standard schemas that agents can discuss during group chats. An agent can propose calling `get_city_code` and wait for another agent to approve the input parameters.

Merchant credentials and store API keys are isolated within the Vinkius secure runtime. This MCP Server runs in a sandboxed isolate, keeping your keys away from the LLM.

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