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 LangChain 8 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Dada Now / 达达 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "dada-now": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Dada Now / 达达, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Dada Now / 达达 through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Dada Now / 达达 via MCP

Why Use LangChain with the Dada Now / 达达 MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Dada Now / 达达 MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Dada Now / 达达 queries for multi-turn workflows

Dada Now / 达达 + LangChain Use Cases

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

RAG with live data: combine Dada Now / 达达 tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Dada Now / 达达, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Dada Now / 达达 tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Dada Now / 达达 tool call, measure latency, and optimize your agent's performance

Dada Now / 达达 MCP Tools for LangChain (8)

These 8 tools become available when you connect Dada Now / 达达 to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Dada Now / 达达 + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.