How to Use the Dada Now Delivery MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK create a Dada Now Delivery order?

Your agent calls the addorder tool with the required details. The SDK handles the mechanics of the function call, passing the parameters to the MCP Server and returning the result to your agent.

Q: Can I use the OpenAI Agents SDK to estimate Dada Now Delivery fees before I book?

Yes. Your agent uses the queryorderfee tool for that. It passes in the pickup and drop-off information and gets a cost estimate back before you commit to the delivery.

Q: How do I add a tip to an existing order?

Your agent needs the original order ID. It then calls the addtip tool, passing that ID along with the tip amount. The server handles the rest.

Build production delivery agents with Dada Now and the OpenAI Agents SDK. Auto-discovery, guardrails, and full tracing are built right in.

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Connect Dada Now Delivery MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dada Now Delivery to OpenAI Agents SDK 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 OpenAI Agents SDK

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Schedule and Track Deliveries

Your agent can schedule a pickup and delivery using the `add_order` tool. The OpenAI SDK lets you build agents that handle the whole process, from creation to monitoring the live status with `query_order_status`. Things go wrong. An agent built with this SDK can handle it. If an order needs to be pulled, it can use `cancel_order`. If a dispatch fails to go through, your agent can intelligently retry with `readd_order`, and you'll see the whole interaction in your OpenAI trace.

Manage Your Storefronts

This is for agents that manage the operational side of your business. Let an agent handle onboarding new pickup locations with the `add_shop` tool or keep existing store details current with `update_shop`. Your agent isn't just executing commands; it's making decisions. It can check the cost of a delivery with `query_order_fee` before committing. If a delivery goes poorly, a specialized agent can be tasked with logging feedback using the `add_complaint` tool.

The Dada Now Delivery MCP Server

This MCP Server gives your agent ten specific tools for the Dada Now API. The OpenAI Agents SDK discovers them automatically, no manual coding required. Your agent sees tools like `get_city_code` and `add_tip` and knows exactly how to use them. When you combine this managed MCP server with the OpenAI SDK, you get a production-ready system. Vinkius handles the server infrastructure and authentication. OpenAI provides the guardrails and tracing. You just build the agent's logic.

Setup guide

Set up Dada Now Delivery MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Dada Now Delivery tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Dada Now Delivery tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Dada Now Delivery tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Dada Now Delivery Agent",
            instructions="You have access to Dada Now Delivery tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Dada Now Delivery MCP in OpenAI Agents SDK

Your agent calls the `add_order` tool with the required details. The SDK handles the mechanics of the function call, passing the parameters to the MCP Server and returning the result to your agent.

Yes. Your agent uses the `query_order_fee` tool for that. It passes in the pickup and drop-off information and gets a cost estimate back before you commit to the delivery.

The SDK's error handling and tracing will show the failure clearly. You can then program your agent to use the `readd_order` tool to try again, maybe with modified parameters.

Your agent needs the original order ID. It then calls the `add_tip` tool, passing that ID along with the tip amount. The server handles the rest.

This MCP server processes order details, which includes addresses, shop information, and driver complaints. All communication between your agent and the Vinkius server is encrypted over HTTPS. Vinkius runs each request in a temporary, sandboxed environment that's destroyed after the task is complete.

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