Magento (Adobe Commerce) MCP. Query live e-commerce data from your agent.
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…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Magento (Adobe Commerce) MCP Server lets your AI agent talk directly to your e-commerce backend. You can search product catalogs by SKU, audit order histories for specific IDs, check real-time stock counts, and query customer records—all through natural conversation.
It's full operational control over product data, inventory levels, and customer lifecycles.
What your AI agents can do
Mg.get customer
Retrieves full profile data for a specific Magento customer using their internal ID.
Mg.get order
Fetches all details—including line items and shipping addresses—for one specific order by its ID.
Mg.get product
Gets comprehensive metadata (pricing, attributes) for a single product using its Stock Keeping Unit (SKU).
Retrieve detailed profile information, including addresses and group assignments, for a specific user account.
List recent commerce orders using pagination, or fetch full details for a single order ID, including line items and shipping status.
Get current stock quantities for any specific SKU to identify shortages or audit supply chain visibility.
Perform broad searches across all products, returning multiple matches and metadata for quick comparison.
Fetch critical site configurations, including base URLs, supported locales, and currency rules, necessary for cross-border auditing.
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Supported MCP Clients
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Magento (Adobe Commerce) MCP Server: 10 Tools for E-commerce Operations
These ten tools allow your AI client to access the core operational data of a Magento store, covering everything from customer profiles and order history to real-time inventory counts.
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 Magento (Adobe Commerce) on Vinkius019d75cbmg.get customer
Retrieves full profile data for a specific Magento customer using their internal ID.
019d75cbmg.get order
Fetches all details—including line items and shipping addresses—for one specific order by its ID.
019d75cbmg.get product
Gets comprehensive metadata (pricing, attributes) for a single product using its Stock Keeping Unit (SKU).
019d75cbmg.get stock
Checks the current physical inventory count and availability status for a given product SKU.
019d75cbmg.get store config
Retrieves global settings like base URLs, locales, and currency definitions for the entire Magento store.
019d75cbmg.list categories
Maps out the full category hierarchy of your store, showing how products are grouped across all levels.
019d75cbmg.list invoices
Lists paginated invoice records and related transaction details for accounting audits.
019d75cbmg.search customers
Searches the customer database using general criteria, returning a list of matching users with pagination options.
019d75cbmg.search orders
Browses and lists recent sales orders based on time or status filters, supporting paginated results.
019d75cbmg.search products
Searches the entire product catalog using keywords or categories, returning a list of matching products with pagination.
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Magento (Adobe Commerce). 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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Manually compiling reports from multiple admin tabs is a nightmare.
Today, figuring out where things stand requires logging into Magento, clicking 'Orders,' filtering by date range. Then you check the line items in one tab, and switch to 'Customers' to find the name. You copy IDs here, cross-reference them there, and finally run a separate report for invoices. It's slow, error-prone manual labor.
With this MCP server, you just ask: 'Show me all orders over $100 placed last week.' The agent runs `mg.search_orders`, pulls the data, aggregates it, and gives you one clean answer in your chat window. No clicking, no report downloads—just the facts.
Magento (Adobe Commerce) MCP Server: Get full visibility into product and order history.
You don't have to run three separate API calls just to audit a single SKU. You can use `mg.get_product` for metadata, then immediately follow up with `mg.get_stock` for the live count, and check the store configuration using `mg.get_store_config` all in one continuous conversation.
The difference is context. We don't just give you a list of tools; we let your agent chain them together to answer complex questions like: 'Show me the stock level for product X that was ordered by customer Y last month.' It’s seamless data orchestration.
What you can do with this MCP connector
Your AI agent can talk directly to your whole Magento (Adobe Commerce) backend. You don't need complicated API wrappers; you just tell your client what you wanna know, and it handles the rest. This gives your agent full operational control over your product data, customer records, inventory levels, and sales history.
Checking Product Details & Inventory:
If you gotta check specific product metadata—like pricing or attributes—you can use mg.get_product by passing in a Stock Keeping Unit (SKU). To see if you got enough stock right now, run mg.get_stock; it gives the current physical count and availability status for any SKU you provide.
When you're doing broader research across your catalog, mg.search_products lets you query keywords or categories, returning a list of matches with metadata so you can compare them quick. For structural mapping, mg.list_categories shows you the whole category hierarchy, detailing how every product is grouped throughout the store.
Handling Customers:
To audit a specific user account, your agent runs mg.get_customer, using their internal ID to pull up all profile data, including addresses and group assignments. If you're looking for a customer by name or general criteria, use mg.search_customers to get a list of matching users that supports pagination.
Tracking Orders and Transactions:
Your agent can find recent sales orders using mg.search_orders, which lets you filter results by status or time and handles paginated lists. Need the full rundown on one specific sale? mg.get_order fetches every detail for a single order ID, including line items and shipping addresses. For accounting audits, you can list multiple invoice records using mg.list_invoices, which gives you access to transaction details across paginated results.
Mapping the Store:
To understand the technical setup of your site, run mg.get_store_config; it pulls global settings like base URLs, supported locales, and currency rules for the whole store. If you need to search through all recent sales data, you can also use mg.search_orders by filtering based on time or status.
019d75cb-cb8a-7175-841c-e0cfd075fc47 
How Magento (Adobe Commerce) MCP Works
- 1 Subscribe to the server and provide your Magento Store URL and Access Token (Integration Token).
- 2 Your AI client uses the provided tools—for example, calling
mg.search_productsto find SKUs. - 3 The agent executes the call against the live store data and returns structured product information directly to your chat interface.
The bottom line is: you manage your entire e-commerce platform from conversational prompts, without writing boilerplate API calls.
Who Is Magento (Adobe Commerce) MCP For?
E-commerce Managers, Operations Analysts, and Developers. This setup is for the people who spend too much time jumping between admin panels to answer simple questions: 'What's the stock on that?' or 'Which customer placed this order last week?'. It’s for anyone whose job involves querying live sales data.
Monitoring inventory status and order flow across multiple store views by asking natural language questions instead of running manual reports.
Auditing customer and invoice data to reconcile discrepancies between sales channels, using tools like mg.list_invoices.
Verifying API responses and mapping product attributes directly from the workspace for rapid debugging before deployment.
What Changes When You Connect
- Inventory checks happen instantly. Use
mg.get_stockto check real-time stock levels for any SKU, eliminating the need to navigate separate inventory dashboards just to answer a quick question. - Audit entire customer bases quickly. Instead of manually running reports, use
mg.search_customersormg.get_customerto pull up profiles and addresses for specific users by name or ID. - Track down any transaction. You can search for recent sales orders using
mg.search_orders, then drill down into the full details of one order withmg.get_order. It’s a two-step process in natural language. - Map your entire catalog structure. Run
mg.list_categoriesto instantly understand your store's taxonomy, verifying that product lines are distributed correctly across all levels. - Verify site settings for global campaigns. Use
mg.get_store_configto pull base URLs and currency codes before running cross-border commerce audits, guaranteeing accuracy.
Real-World Use Cases
Reconciling a missing customer record
A client calls claiming an order was placed but the account seems incomplete. You use mg.search_orders to find the Order ID, then pass that ID to mg.get_order. Finally, you check the associated customer details using mg.get_customer to confirm the full profile data and address.
Checking stock for a big sale
A marketing team needs to know if they can sell 50 units of 'TSHIRT-BLUE-L' during a flash sale. They ask their agent, which calls mg.search_products first (to confirm the SKU), and then executes mg.get_stock. The result confirms availability instantly.
Auditing regional storefront changes
The team is setting up a new international market. They ask their agent to run mg.list_categories to understand the current structure, followed by mg.get_store_config to pull the necessary locale and currency settings for the new region.
Investigating old invoices
An accountant needs to verify payments from last quarter. They use mg.list_invoices with a date range, then filter the resulting list using the agent to pull detailed information on any suspicious or missing records.
The Tradeoffs
Treating data retrieval like general search
Asking the agent 'Tell me everything about products.' This vague prompt results in a massive, unusable dump of generic catalog metadata and fails to provide actionable detail.
→
Be specific. Instead of asking generally, use mg.search_products with keywords (e.g., 'backpack') or specify the exact product you need using mg.get_product(SKU).
Forgetting to link orders to customers
The agent successfully retrieves Order #100001 details but doesn't provide who placed it, leaving the user unable to follow up with the client.
→
After retrieving an order using mg.get_order, immediately use the customer ID found in the response as a parameter for the mg.get_customer tool call to get full contact details.
Assuming data is always available
Asking 'What are the current stock levels?' without providing the specific SKU, causing the agent to fail because it has no target product for mg.get_stock.
→
Always specify the required key identifier (like an SKU) when calling inventory tools. Always pair a search result from mg.search_products with the specific tool call: mg.get_stock(SKU).
When It Fits, When It Doesn't
Use this server if your job requires querying structured, transactional e-commerce data (orders, inventory, user profiles). You're dealing with Magento/Adobe Commerce and need to know what was bought or how many are left. Don't use it if you just need general web scraping—if the goal is retrieving random text from a product description page, a generic crawler tool works better.
Use mg.search_products when you have keywords but no SKU. Use mg.get_product only when you know the exact SKU. If you're checking stock, always follow up a successful search with mg.get_stock(SKU) to get the live number. Don't confuse searching for customers (mg.search_customers) with getting an existing customer record (mg.get_customer); one lists many, the other gets one.
Common Questions About Magento (Adobe Commerce) MCP
How do I find an order's details using mg.get_order? +
You need the explicit Order ID. Pass that single numerical ID to mg.get_order, and it returns everything: line items, shipping address, and status history.
What's the difference between mg.search_products and mg.get_product? +
mg.search_products runs a broad keyword search across many products. mg.get_product requires you to already know the exact SKU, giving you all metadata for that single item.
Can I check stock levels without knowing the product ID first? +
No, you must use a search tool first. Use mg.search_products or mg.search_orders to find the SKU, then pass that resulting SKU into mg.get_stock.
How do I see all customer records in my database? +
You use mg.search_customers for a paginated list based on criteria (like name or email). If you have the specific internal ID, mg.get_customer is better.
If I use mg.list_invoices, how do I get all historical records? +
It retrieves data in paginated chunks. You must pass page number and limit parameters to pull through the entire history. The API handles chunking for you so your agent gets all necessary invoices.
What specific metadata does mg.get_store_config retrieve? +
This tool pulls global store settings, not just product data. It gives you key information like the base URLs, active locales, and default currency used for accurate cross-border auditing.
When I call mg.get_product, what kind of attributes are available? +
It provides detailed metadata beyond just the name and SKU. You get access to custom product attributes, pricing tiers, and media gallery links for a complete view of the item.
When should I use mg.get_customer instead of searching? +
Use it when you know the exact internal customer ID. This method is faster and more precise than running a general search, guaranteeing your agent pulls data for one specific record.
Can I search for products by SKU through my agent? +
Yes. Use the mg.get_product tool and provide the exact SKU. Your agent will fetch the full record, including pricing, stock status, and custom attributes directly from your Magento catalog.
How do I check the status history of a specific order? +
The mg.get_order tool retrieves the complete order entity by ID. Your agent will expose the status history, payment info, and line items, helping you track the fulfillment lifecycle of any order.
Can my agent list the entire category tree of my store? +
Absolutely. Use the mg.list_categories tool to retrieve the complete category hierarchy. Your agent will report the IDs, names, and product counts for each level, ensuring you have a full view of your store's taxonomy.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.