01 / INVENTORY
Know what’s on the shelf.
Turn stock lookups across stores, warehouses, and channels into a simple conversation.
MCP SERVERS FOR RETAIL
Your retail stack.
Ready for AI
Give your AI assistants access to the retail context they need. Connect inventory, orders, and products through the Model Context Protocol.
Your systems. Your business rules. One open standard.
YOU
Which stores have the Everyday Tote in stock?
MCP TOOL CALL
check_inventoryREADHere’s the stock across your stores.
Everyday Tote · SKU TOTE-001 · Available to sell
| Location | Available | Status |
|---|---|---|
| Downtown | 24 units | In stock |
| Westside | 8 units | Low stock |
| Online warehouse | 156 units | In stock |
Source: your inventory systemSample data
Natural language in. Retail context out.
ONE CONNECTION LAYER.
EVERY PART OF RETAIL.
eCommerce Point of sale ERP Inventory CRM
BUILT AROUND RETAIL
The right tools.
The right retail context.
Start with the workflow that matters most. Define the tools your assistant can use, and connect them to your source systems.
02 / ORDERS
Follow every order.
Retrieve fulfillment details, shipping status, and order history from the systems that own them.
03 / CATALOG
Find the product details.
Bring SKUs, variants, product attributes, and channel-specific prices into your AI workflow.
04 / CUSTOMERS
Give service more context.
Scope access to purchase history, loyalty details, and return eligibility for better-informed support.
Explore the connection modelTool names illustrate possible server scopes. Available tools depend on your systems, APIs, and agreed implementation.
THE CONNECTION, SIMPLIFIED
Let AI speak retail.
MCP gives an AI application a standard way to discover and use tools.
Your integration supplies the retail data and business logic behind them.
Your AI application
An MCP-compatible assistant
or agent
Retail MCP server
Purpose-built tools.
Scoped retail context.
eCommerceProducts & orders
POSStores & sales
ERPStock & operations
USEFUL AI STARTS WITH CONTROL
Start with visibility.
Add actions deliberately.
A stock lookup and a refund are different decisions. Design the connection around the permissions, approval steps, and data boundaries your business needs.
Explore retail server scopesDefine what AI can see
Select the data, fields, locations, and accounts each tool can access.
Decide what AI can do
Begin with read access. Agree on approval rules before enabling tools that change data.
Keep operations accountable
Specify authentication, audit records, and error handling as part of the implementation.
A FEW GOOD QUESTIONS
Before you
connect.
Clear answers for your retail
and technical teams.
What is an MCP server?
An MCP server exposes data and tools through the Model Context Protocol, an open standard that lets compatible AI applications connect to external systems. For retail, those tools can help an assistant look up stock, retrieve an order, or search a product catalog.
Does this replace our existing retail systems?
No. Your commerce platform, POS, ERP, and other systems continue to run your business. An MCP server provides a way for AI applications to use selected capabilities from those systems. The underlying API connections still need to be configured or built.
Which retail platforms can we connect?
Connection options depend on your systems and their available APIs. Commerce, POS, ERP, inventory, and CRM systems are potential integration sources. Confirm platform compatibility, tool scope, and any custom work before implementation.
Can an AI assistant change data?
MCP tools can support both lookups and actions. Start with the access you need, then choose which actions to enable. Permissions, human approval, and write controls must be implemented for the specific server and AI application; MCP alone does not supply them.
Where should we start?
Choose one question your team asks repeatedly, such as “Where is this order?” or “Which stores have this SKU?” Identify the source system, define a small read-only tool scope, and validate the results before expanding.
YOUR NEXT RETAIL CONNECTION
Start with one workflow.
See the connection.
Explore inventory, orders, and products to see how MCP can bring useful retail context to an AI assistant.
Try the retail examplesStart with one workflow. Build from there.