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Dada Now / 达达 MCP. Manage local deliveries and shop logistics instantly.

Claude Claude
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Dada Now / 达达 MCP on Cursor AI Code Editor MCP Client Dada Now / 达达 MCP on Claude Desktop App MCP Integration Dada Now / 达达 MCP on OpenAI Agents SDK MCP Compatible Dada Now / 达达 MCP on Visual Studio Code MCP Extension Client Dada Now / 达达 MCP on GitHub Copilot AI Agent MCP Integration Dada Now / 达达 MCP on Google Gemini AI MCP Integration Dada Now / 达达 MCP on Lovable AI Development MCP Client Dada Now / 达达 MCP on Mistral AI Agents MCP Compatible Dada Now / 达达 MCP on Amazon AWS Bedrock MCP Support

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Dada Now / 达达 is an MCP Server for local logistics and on-demand delivery in China. Use your AI client to manage shop stations, calculate real-time delivery fees, create new delivery orders, and track courier progress—all through natural conversation.

It lets you orchestrate complex e-commerce fulfillment and retail shipping operations without ever touching a developer portal.

What your AI agents can do

Add shop

Registers a new shop station and provides its basic metadata.

Cancel order

Cancels an existing delivery order and requires a specific reason for the cancellation.

Create order

Places a new on-demand delivery order between two points.

+ 5 more capabilities included
Manage Shop Stations

Register new shop locations or update metadata for existing shop stations.

Create and Cancel Orders

Place on-demand delivery orders and process cancellations, recording the reason for the cancellation.

Calculate Delivery Fees

Get a real-time estimate of delivery costs based on the trip's distance and the package's value.

Track Couriers

Check the live status and contact details of the courier assigned to an order.

Lookup Locations

Retrieve the full list of cities and their required codes for accurate delivery routing.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

add019d842b

add shop

Registers a new shop station and provides its basic metadata.

cancel019d842b

cancel order

Cancels an existing delivery order and requires a specific reason for the cancellation.

create019d842b

create order

Places a new on-demand delivery order between two points.

get019d842b

get order detail

Retrieves the current status and details for a specific order ID.

get019d842b

get shop detail

Fetches the complete details and operational status for a known shop station.

list019d842b

list supported cities

Lists all cities supported by the platform and their unique city codes.

query019d842b

query delivery fee

Calculates the estimated cost for a delivery trip based on distance and cargo value.

update019d842b

update shop info

Changes or adds metadata (like contact info) to an existing shop station.

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What you can do with this MCP connector

Dada Now is your AI client's connection to local logistics and on-demand delivery in China. You use your agent to manage shop stations, calculate fees, and handle delivery orders without ever touching a developer portal.

Manage Shop Stations

You can use add_shop to register a new shop station and get its basic metadata. If a shop already exists, you use update_shop_info to change or add metadata, like contact info. You can also get a shop's full operational status and details by running get_shop_detail.

Create and Cancel Orders

To start a delivery, you use create_order to place a new on-demand delivery order between two points. If you need to stop a shipment, you use cancel_order and must provide a specific reason for the cancellation. You can check the current status and all details of any existing order with get_order_detail.

Calculate Delivery Fees

Before you book anything, you use query_delivery_fee to get a real-time estimate of the delivery cost. You just need to feed it the trip's distance and the package's value.

Track Couriers and Locations

To find out where things are, you use get_order_detail to check the live status and contact details of the assigned courier. You can also use list_supported_cities to retrieve the full list of cities and their unique codes, making sure your delivery routing is accurate.

How Dada Now / 达达 MCP Works

  1. 1 Subscribe to this server and input your Dada App Key, App Secret, and Source ID (Merchant ID).
  2. 2 Your AI client sends a request to the server (e.g., 'Create an order from Shop X to Address Y').
  3. 3 The server executes the necessary tool and sends the structured data (e.g., order ID, fee estimate, status) back to your AI client for a natural language response.

The bottom line is, your AI client acts as a real-time logistics coordinator, giving you accurate, fast data from a single, authorized source.

Who Is Dada Now / 达达 MCP For?

This is for the Operations Manager who gets tired of jumping between inventory systems, mapping tools, and carrier websites just to track a shipment. It's for the E-commerce Fulfillment Lead who needs to automate local fulfillment and coordinate multiple retail pickups. If you're a developer building an internal logistics platform, this is what you need.

E-commerce Fulfillment Lead

Uses the agent to automate local pickup and delivery, checking order statuses and updating shop station info without leaving the chat window.

Retail Operations Manager

Manages multiple shop locations, using the server to register new stations or coordinate courier pickups for multiple stores simultaneously.

Logistics Developer

Integrates the on-demand delivery APIs directly into an AI-driven workflow to build complex, multi-step fulfillment logic.

What Changes When You Connect

  • Create and track orders without leaving the chat. You can use create_order to place a delivery request and immediately follow up with get_order_detail to check the status—all in one conversation.
  • Stop manual fee calculations. query_delivery_fee instantly tells you the delivery cost using distance and cargo value, so you can decide if the order is profitable before placing it.
  • Quickly map your whole network. Use list_supported_cities to get the official city codes needed for precise routing, avoiding manual lookups and errors.
  • Keep your shop data current. If a contact changes, use update_shop_info to fix the metadata for a station, or add_shop to onboard a brand new one.
  • Handle changes smoothly. When an order falls through, cancel_order lets you process the cancellation and record the required reason, keeping your records clean.
  • Get all shop facts instantly. get_shop_detail pulls up every piece of information about a shop station, letting you confirm its online status or contact person.

Real-World Use Cases

01

A new e-commerce store needs to go live.

The fulfillment lead needs to get the new station online. Instead of filling out web forms, they ask the agent to add_shop with the necessary location data. Next, they use get_shop_detail to verify the new shop's status, confirming it's ready for orders.

02

A client needs an urgent delivery estimate.

A sales rep needs to quote a customer. They first use query_delivery_fee by providing the start/end points and cargo value. The agent returns the cost, letting the rep give the customer a precise, immediate quote.

03

A critical order needs to be stopped.

The ops manager realizes a delivery is going to the wrong address. They tell the agent to get_order_detail first to confirm the order ID, then immediately use cancel_order to halt the shipment and log the reason.

04

Expanding into a new region.

A retail director plans to expand. They first run list_supported_cities to ensure the target city is supported. If it is, they then use add_shop to register the first physical location in that new market.

The Tradeoffs

Checking status manually.

Logging into the Dada portal, searching for order 'ORD123', checking the status, then having to copy that status into an internal spreadsheet for tracking.

Just ask the agent to get_order_detail using the order ID. The agent pulls the status and gives you the information immediately, keeping everything in the chat.

Guessing delivery fees.

Calling a coworker or estimating the fee based on rough knowledge. This leads to incorrect quotes and missed revenue opportunities.

Always run query_delivery_fee first. Give the agent the start and end points and the cargo value; it calculates the accurate, real-time cost.

Updating shop info in multiple places.

Changing a contact number for a shop station in the main database, then remembering to update it in the operational spreadsheet, and maybe the physical signage.

Use update_shop_info. It centralizes the change. Just tell the agent to update the metadata for the shop ID, and the change happens everywhere.

When It Fits, When It Doesn't

Use this if your job involves real-time coordination of local shipments, retail pickups, or e-commerce fulfillment in China. You need to answer questions like: 'What is the cost to move this?' or 'Where exactly is the courier right now?' If your workflow requires knowing the current status of an order, adding a shop, or calculating a fee based on location, this is the right tool. Don't use it if you only need to read static, historical data that doesn't change. For pure data analytics or reporting that doesn't involve transaction actions, look at dedicated database access tools instead.

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 / 达达. 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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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

add_shop cancel_order create_order get_order_detail get_shop_detail list_supported_cities query_delivery_fee update_shop_info

Coordinating local deliveries shouldn't feel like a multi-step web form.

Today, managing a single delivery is a mess of tabs. You log into the shop portal to find the shop ID, then open a separate tracking site to get the order status, and finally, you have to jump to a separate fee calculator to quote the client. It’s copy/pasting everywhere.

With this server, you talk to your agent. You ask, 'What's the status of order X and what's the fee?' The agent runs `get_order_detail` and `query_delivery_fee` and gives you one answer. It handles the whole process.

Dada Now / 达达 MCP Server: Manage Shop and Delivery Ops

You don't need to manually register new locations or update contact info. The agent runs `add_shop` or `update_shop_info` using plain text instructions. It handles the metadata and ensures the shop station is ready for business.

The difference is that the complexity moves out of your hands and into the API. You just state the goal, and the system executes the required logistics steps.

Common Questions About Dada Now / 达达 MCP

How do I check the status of an order using the Dada Now / 达达 MCP Server? +

Use get_order_detail and provide the specific order ID. The server returns the current status, including who the courier is and if they've accepted the job.

What is the best way to calculate a delivery fee using the Dada Now / 达达 MCP Server? +

Run query_delivery_fee and provide the starting shop ID, the destination address, and the cargo value. This gives you the accurate, real-time cost estimate.

Can I add a new shop station with the Dada Now / 达达 MCP Server? +

Yes, use add_shop. You need to provide the required metadata for the station, and the server registers it into the system.

Does the Dada Now / 达达 MCP Server handle cancellations? +

Yes, you use cancel_order. You must include the reason for cancellation, which the tool requires to track the reason accurately.

What information does `get_shop_detail` provide? +

get_shop_detail gives you the full profile of a shop station. It reports the current operational status, contact person, and other key metadata.

How do I list all supported cities using the `list_supported_cities` tool? +

The list_supported_cities tool provides a full list of supported cities and their unique city codes. This data is essential for accurate routing, ensuring your AI client knows the correct geographic parameters before you try to place an order or calculate a fee.

What does `update_shop_info` allow me to change about a shop station? +

The update_shop_info tool lets you modify shop station metadata. You can change details like contact persons or operating hours, keeping your local logistics data current and accurate for your AI agent to use.

How can I handle errors or insufficient data when using the `create_order` tool? +

If an order fails, the server returns a specific error code and a detailed message explaining the failure reason (e.g., invalid shop ID or destination outside range). Your AI client can then process this error and prompt the user for the missing information.

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

Log in to the Dada Developer Portal, 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.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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