How do I find my Dada App Key, Secret, and Source ID?

Log in to the [Dada Developer Portal](https://newopen.imdada.cn/), register your application to get the App Key and App Secret. Your Source ID (Merchant ID) is visible in your merchant account profile after registration.

What is the 'origin_shop_id'?

The `origin_shop_id` is a custom unique identifier you define for your shop when adding it to Dada. It should match the ID you use in your own system to coordinate operations between platforms.

Can I query delivery prices before placing an order?

Yes! Use the `query_delivery_fee` tool to calculate the cost. If you're happy with the price, you can immediately use the returned `deliveryNo` with the `create_order_after_query` tool to confirm the delivery.

Dada Now / 达达 MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Dada Now / 达达
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Dada Now / 达达 through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Dada Now / 达达 "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Dada Now / 达达?"
    )
    print(result.data)

asyncio.run(main())

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* 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 / 达达 MCP Server

Empower your AI agent to orchestrate your local logistics and on-demand delivery with Dada Now (达达), the premier open delivery platform in China. By connecting Dada to your agent, you transform complex store management, delivery fee estimation, and courier tracking into a natural conversation. Your agent can instantly register new shop stations, calculate real-time delivery costs, place delivery orders, and monitor courier progress without you ever needing to navigate the comprehensive Dada Developer Portal. Whether you are managing e-commerce fulfillment or coordinating local retail shipments, your agent acts as a real-time logistics coordinator, providing accurate and fast results from a single, authorized source.

Pydantic AI validates every Dada Now / 达达 tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Shop Orchestration — Register, update, and retrieve detailed metadata for your shop stations across various cities.
Order Management — Create on-demand delivery orders and manage cancellations with specific reason tracking.
Fee Auditing — Query real-time delivery fee estimates based on route distance and cargo value.
Courier Tracking — Monitor the real-time status and contact information of the assigned transporter for any order.
Geographic Discovery — Access the full list of supported cities and their unique city codes for precise routing.

The Dada Now / 达达 MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI 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 / 达达 to Pydantic AI via MCP

Follow these steps to integrate the Dada Now / 达达 MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Dada Now / 达达 with type-safe schemas

Why Use Pydantic AI with the Dada Now / 达达 MCP Server

Pydantic AI provides unique advantages when paired with Dada Now / 达达 through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Dada Now / 达达 integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Dada Now / 达达 connection logic from agent behavior for testable, maintainable code

Dada Now / 达达 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Dada Now / 达达 MCP Server delivers measurable value.

Type-safe data pipelines: query Dada Now / 达达 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Dada Now / 达达 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Dada Now / 达达 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Dada Now / 达达 responses and write comprehensive agent tests

Dada Now / 达达 MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Dada Now / 达达 to Pydantic AI via MCP:

add_shop

cancel_order

Cancel an order

create_order

Create a delivery order

get_order_detail

Get order status

get_shop_detail

Get shop details

list_supported_cities

List supported cities

query_delivery_fee

Query delivery fee

update_shop_info

Update shop metadata

Example Prompts for Dada Now / 达达 in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Dada Now / 达达 immediately.

"Calculate the delivery fee for a order from shop 'S001' to '123 Park Ave, Shanghai'."

"Check the status of Dada order 'ORD88210934'."

"Show me the details for shop station 'SH_STORE_01'."

Troubleshooting Dada Now / 达达 MCP Server with Pydantic AI

Common issues when connecting Dada Now / 达达 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Dada Now / 达达 + Pydantic AI FAQ

Common questions about integrating Dada Now / 达达 MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Dada Now / 达达 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.