Is the MD5 signature abstracted?

Yes! The parameters like `timestamp`, `app_key`, `v`, and `format` are automatically concatenated. The backend performs the `MD5` check and injects the `signature` transparently to the LLM context, yielding flawless delivery logs.

Dada Now Delivery MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Dada Now Delivery
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dada Now Delivery through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Dada Now Delivery Assistant",
            instructions=(
                "You help users interact with Dada Now Delivery. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Dada Now Delivery"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Dada Now Delivery MCP Server

Integrate Dada Now (达达快送), one of the leading on-demand delivery platforms, tightly into your AI. With 10 full-scale fleet administration and logistics tools embedded, your AI model can function as an autonomous fleet coordinator for P2P deliveries.

The OpenAI Agents SDK auto-discovers all 10 tools from Dada Now Delivery through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Dada Now Delivery, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Create Deliveries on the Fly — Simply tell the AI where to send the goods and it will evaluate the query_order_fee alongside add_order instantly
Interactive Routing — Add rider 'tips' during peak rush-hour dynamically, or complain against delays on the dashboard automatically
Store Management — Create new delivery pickup hubs (Shop registration) directly via conversational prompts

The Dada Now Delivery MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Dada Now Delivery to OpenAI Agents SDK via MCP

Follow these steps to integrate the Dada Now Delivery MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Dada Now Delivery

Why Use OpenAI Agents SDK with the Dada Now Delivery MCP Server

OpenAI Agents SDK provides unique advantages when paired with Dada Now Delivery through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Dada Now Delivery + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Dada Now Delivery MCP Server delivers measurable value.

Automated workflows: build agents that query Dada Now Delivery, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Dada Now Delivery, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Dada Now Delivery tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Dada Now Delivery to resolve tickets, look up records, and update statuses without human intervention

Dada Now Delivery MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Dada Now Delivery to OpenAI Agents SDK via MCP:

add_complaint

Submit a complaint about a driver

add_order

Create a new Dada delivery order

add_shop

add_tip

Add a monetary tip to a specific delivery order

cancel_order

Cancel a delivery dispatch

get_city_code

Retrieve Dada City Codes

query_order_fee

Estimate the delivery fee before ordering

query_order_status

Get live tracking status of an order

readd_order

Re-add an expired or failed delivery order

update_shop

Update existing Station details

Example Prompts for Dada Now Delivery in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Dada Now Delivery immediately.

"Estimate the cost to deliver order JSON object `...` using Dada."

"Add a new store pickup point named 'Central Hub' at origin 'Shop1'."

Troubleshooting Dada Now Delivery MCP Server with OpenAI Agents SDK

Common issues when connecting Dada Now Delivery to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Dada Now Delivery + OpenAI Agents SDK FAQ

Common questions about integrating Dada Now Delivery MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.