Saleor MCP for AI Agents. Manage inventory, orders, and customers via chat.
Saleor MCP connects your AI client directly to your headless e-commerce backend. You can manage product details, audit recent customer orders, and retrieve specific account information—all from a natural chat conversation. It gives your agent deep visibility into everything happening in your store.
Give Claude and any AI agent real-world access
List the entire catalog or check specific item details by ID.
Find profiles and view order history for any registered shopper.
Get a list of the latest orders placed on the platform, or dive into one specific receipt.
Retrieve high-level data like default currencies and active selling regions.
Ask an AI about this
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What AI agents can do with Saleor MCP: 10 Tools for E-commerce Ops
These tools give your AI client direct access to all core Saleor functions. You can pull product listings, check orders, manage customers, and view global shop configurations.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Saleor MCPGet Customer
Retrieves a specific customer's profile information and order history.
Get Order
Pulls detailed information for a single, specific order number.
Get Product
Gets deep details about one product using its unique ID.
Get Shop Info
Retrieves general, high-level configuration data for the entire shop.
List Categories
Provides a list of all product categories defined in the store.
List Channels
Shows which sales channels are currently set up and active.
List Collections
Retrieves a list of all product collections available in the store.
List Customers
Lists every customer or user who is registered in your shop's system.
List Orders
Presents a list of the most recent orders that have been placed.
List Products
Retrieves a comprehensive list of all products available in your Saleor store.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Saleor, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Saleor Headless API. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Checking order status feels like a scavenger hunt. Solved with Vinkius AI Gateway
Right now, checking on an order means navigating through your platform’s web dashboard. You copy the order number, paste it into the tracking portal, then maybe you have to check the customer profile page just to confirm their billing zip code. It's a multi-step process that wastes time and makes the support agent sound like they're running errands.
With this MCP, you tell your AI client what order number you need help with. The system runs `get_order` and gives you all the details—the items bought, the billing address, and the status—all in one simple response.
You get full visibility into Saleor's core operations.
The specific manual steps that disappear are cross-referencing data points. You no longer need to switch between the user directory and the order history just to build a complete picture of a shopper. The ability to list all users with `list_customers` means you can query the customer base without clicking through hundreds of records.
What's different now is speed. Instead of spending minutes compiling reports from multiple internal tools, your agent gives you actionable data in seconds.
What your AI can actually do with this
Managing an online store usually means jumping between inventory dashboards, order tracking pages, and customer profile screens. This MCP changes that. Instead of copying data or navigating complex web interfaces, you simply ask your AI client a question about the saleor backend, and it gets the answer instantly. You can check product availability by calling get_product, list all registered users using list_customers, or pull up full details for any order with get_order.
If your current platform uses an alternative method of data access, you'll spend hours compiling reports. Here, everything is exposed through a single chat interface. This makes it easier to manage day-to-day retail operations right where you work, and Vinkius hosts this connection so you can access Saleor alongside thousands of other services.
019d7601-70dd-733a-9ebe-42eee26bb8b8 Here's how it actually works
The bottom line is you get a unified chat interface that lets your agent talk directly to your store's database.
First, you authorize the Saleor mapping tools within your workspace integrations.
Next, you access your main Saleor backend dashboard and generate a dedicated internal App Token with read/manage permissions.
Finally, enter the Saleor Cloud GraphQL API Endpoint and that generated token into the connection. Then, just ask the AI: "Find out order specifics for order number '334'."
Who is this actually for?
This MCP is for the e-commerce operations manager, the customer service lead, and the merchandising director. If your job involves constantly jumping between dashboards—checking inventory, pulling order IDs, then looking up customer names—you'll love this. It cuts down hours of manual clicking into a single conversational query.
Manages daily store functions by listing all products or checking global shop configuration details.
Handles complex inquiries by retrieving customer profiles and using get_order to confirm shipping status instantly.
Organizes the store content by listing all product collections or viewing sub-categories without leaving their primary workflow.
What Changes When You Connect
Instead of viewing product data through multiple tabs, you can use get_product to get specific details—like variant pricing or stock levels—in a single conversation. This saves time when troubleshooting listings.
When a customer calls about their purchase, asking for order specifics and shipping status is simple. Just input the number and let your agent run get_order to give them an immediate answer.
You don't have to manually browse categories; you can ask your AI client to list all product collections using list_collections. It gives you a structured overview of your catalog instantly.
Managing customer accounts is much faster. You can use list_customers to find a user by name, then use get_customer to see their full purchase history and profile details in one step.
Checking the store's global setup used to mean finding specific API documentation. Now, you just ask for the shop info using get_shop_info, and your agent tells you what currencies or regions are active.
See it in action
Customer needs shipping status on a weekend.
A customer contacts support asking about order #512. Instead of typing the number into three separate portals, the agent asks your AI client to run get_order. The client immediately confirms the billing address and reports if it's unfulfilled.
Merchandiser needs a catalog audit.
The merchandiser wants to see how many unique product lines exist across all sections. They ask your AI client to run list_products, which returns the total count, and then use list_collections to map out related groups.
Team needs to identify new clients.
A sales team member wants to know how many unique users have signed up this month. They ask your AI client to run list_customers, which provides a list of all registered profiles for review.
The honest tradeoffs
What to watch out for, and the recommended way to handle each one.
Trying to compare data across systems
Manually checking the inventory system, then switching to the CRM, and finally logging into the order portal just to compile one report.
Use your AI client with this MCP. Ask it to combine information by first listing products using list_products, then asking for details on a specific product ID using get_product.
Over-relying on web dashboards
Spending 20 minutes clicking through category menus just to see if 'Electronics' has subcategories, and then copying the list.
Your agent can run list_collections or list_categories directly. It pulls that structure into your chat window instantly.
Handling multiple tasks sequentially
First finding a customer's name, then manually searching for their order ID, and finally checking the billing address in a third tab.
Use get_customer to pull the profile and history simultaneously. This gets you all the necessary data—from user details to past orders.
When It Fits, When It Doesn't
You should use this MCP if your job requires frequent, cross-system lookups related to e-commerce data: checking stock levels, verifying order statuses, or pulling customer history. It excels at making disparate information sources conversational.
Don't use it if you need to write content (use a dedicated writing tool) or if you need real-time physical inventory counts that aren't reflected in the Saleor database. This MCP reads data; it doesn't change prices or fulfill orders itself. If your task is purely reporting, stick with list_orders and get_products; if you need to update the store structure, this isn't for you.
Questions you might have
How do I check product stock levels with Saleor MCP? +
You use get_product to pull specific item details. This tool retrieves real-time information like available variants and current stock configurations for a given product ID.
Can the Saleor MCP help me find customer order history? +
Yes. You first use list_customers to identify the user, and then use get_customer to pull their entire profile and associated order history in one go.
What is the difference between list_orders and get_order? +
list_orders shows a summary of the most recent purchases on your platform. get_order, however, gives you comprehensive details for just one specific receipt or order ID.
How do I list all product categories using Saleor MCP? +
You run the list_categories tool. This immediately displays a structured list of every category your store uses, letting you audit the catalog structure without touching any web dashboards.
Does the Saleor MCP support multiple sales channels? +
Yes, it does. You can use list_channels to see all configured selling environments and determine which markets your store is currently active in.