Supercharge your AI with CloudCart. Manage Orders, Products, and Customers from Chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Connect to your AI in seconds.
CloudCart lets you manage your entire e-commerce backend directly through natural conversation. Track products, monitor order fulfillment status, audit abandoned carts, and view customer history without ever opening the CloudCart dashboard.
You get a complete operational picture of your store from any AI agent.
What your AI can do
Get abandoned carts
Pulls a list of shopping carts that were started but never completed by a customer.
Get order store details
Retrieves full, specific details for one particular order ID.
Get product store details
Gets the detailed information for any single product in your catalog.
Retrieves complete details for any specific order ID, including items and fulfillment status.
Pulls a list of shopping carts that were started but never completed by the customer.
Lists all items in your entire catalog, giving you SKUs and pricing details.
Accesses registered customer profiles along with a history of their interactions with the store.
Lists all available product categories and brands used throughout your catalog.
Ask an AI about this
Compatible AI Apps
OAuth 2.0 Compatible Gemini Waiting for input…
CloudCart MCP: 8 Tools for Store Operations
Use these eight specific tools to programmatically query every aspect of your store's data—from listing all customers to retrieving detailed order information.
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 CloudCart on VinkiusGet Abandoned Carts
Pulls a list of shopping carts that were started but never completed by a customer.
Get Order Store Details
Retrieves full, specific details for one particular order ID.
Get Product Store Details
Gets the detailed information for any single product in your catalog.
List Store Brands
Lists every product brand that is currently configured and used in your store.
List Store Categories
Lists all the organizational categories you use to sort products on your site.
List Store Customers
Retrieves a list of every registered customer profile in your store database.
List Store Orders
Lists all customer orders placed in the store, giving you an overview of recent activity.
List Store Products
Lists every product currently available in your entire store catalog.
Connect to your AI in seconds. 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.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token from
cloud.vinkius.com. For OAuth-protected servers, expand Advanced
settings to add credentials.
Start a conversation
Open a new chat. The CloudCart integration is available immediately — no restart needed.
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 every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with CloudCart, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CloudCart. 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 every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 connection provides 8 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Checking inventory and order status used to be a mess of dashboards and spreadsheets.
Right now, checking product stock levels means logging into the admin panel, navigating to 'Catalog Management,' finding the SKU, and then cross-referencing that data with a separate spreadsheet for pricing changes. To check order status, you jump to 'Orders,' filter by date range, find the ID, and click through three different subpages just to get one shipping update.
With this MCP, that manual clicking stops. You ask your agent, 'What's the stock level on product XYZ?' or 'Where is Order #9001?' The system uses its built-in tools to pull the exact answer directly into our chat interface. It takes five clicks and three tabs of context switching down to one question.
Getting a full picture of customer intent with `get_abandoned_carts`
Before, identifying missed sales was reactive. You had to run a weekly report and manually scan the list for high-value carts. This meant critical follow-up opportunities often got buried or missed entirely by the team.
Now, you just ask your agent to audit abandoned shopping baskets using `get_abandoned_carts`. The system immediately surfaces those exact recovery targets. It shifts your focus from 'How many did we lose?' to 'Who should we contact right now?'.
What your AI can actually do with this
Managing an online store means jumping between inventory dashboards, order tracking pages, and customer databases. This MCP connects all that data to your natural language workflow. Instead of clicking through multiple tabs to see what products are selling or if those abandoned carts need a follow-up email, you just ask.
You can list every product in stock, check the status of large batches of orders, and look up specific customer details instantly. It gives you full command over everything from listing store brands to checking out old shopping baskets. If your AI workflow runs through Vinkius, this MCP ensures you have deep visibility into all your e-commerce operations, letting you focus on strategy instead of data retrieval.
019d7573-e757-7395-9abf-40ab3239d935 
Here's how it actually works
The bottom line is that you tell your AI client what you need in plain English, and it handles the complex API calls to get the exact data back.
Subscribe to this MCP, then provide your CloudCart Client ID, Client Secret, and Store Domain.
Your AI client connects using those credentials, granting it read access to your store's core data.
You prompt your agent with natural language requests, like 'List all products priced over $50.' The MCP executes the query and returns structured results.
Who is this actually for?
E-commerce managers who spend too much time manually checking dashboards. Store owners needing immediate visibility into customer intent and inventory health without logging in. Support agents who need instant order history access for every chat.
Needs to list all store products or check the status of multiple recent orders quickly, bypassing the main dashboard views.
Quickly checks customer profiles and order details when a client calls in, pulling data straight into their chat window.
Audits abandoned carts and product brands to identify gaps in the marketing funnel or missing inventory items.
What Changes When You Connect
Instantly audit abandoned carts. Instead of manually sifting through backend reports, you can use get_abandoned_carts to see exactly which customers left items behind, letting your team follow up immediately.
Deep dive into any specific sale. If a customer asks about Order #12345, the agent uses get_order_store_details to provide instant status updates without you leaving the chat window.
Keep track of who's buying what. By using list_store_products and then get_product_store_details, you can verify product metadata (like pricing or SKU) against your current marketing plan in seconds.
Maintain catalog structure visibility. You can quickly run list_store_categories or list_store_brands to ensure all new products are slotted into the right place before launch, preventing organizational debt.
Support agents gain instant knowledge. They use list_store_customers to pull up a client's full history and associated orders (list_store_orders) in one smooth interaction.
See it in action
Investigating low sales volume
A marketing analyst notices a sudden dip in revenue for 'Electronics'. They ask their agent to use list_store_products and filter by category, then cross-reference the results with get_abandoned_carts to see if product visibility or pricing is the issue.
Handling a high-value support call
A customer calls demanding status on their recent order. Instead of asking for an ID, the agent asks the system to list_store_orders by last name, finds the correct order ID, and then uses get_order_store_details to confirm shipping status instantly.
Pre-launch catalog check
An inventory manager needs to ensure a new line of 'Outdoor Gear' is properly categorized. They run list_store_categories, verify the structure, and then use list_store_brands to confirm all necessary brands are present before adding stock.
Identifying customer trends
A store owner wants to know who bought similar items recently. They first run list_store_customers, and then use that data in conjunction with the order history (list_store_orders) to build a segmentation list for email marketing.
The honest tradeoffs
Asking for 'all store info'
Prompting the agent: 'Give me everything about my store.' The agent fails because it doesn't know if you mean products, customers, or orders. It gives a useless wall of text.
Be specific and structure your request. Ask to list_store_products first, then follow up with 'Now show me the brands for those items using list_store_brands.' Always focus on one tool at a time.
Ignoring cart history
Only checking current orders (list_store_orders) and missing out on revenue opportunities. You don't know which customers were ready to buy but left before checkout.
Always run get_abandoned_carts first. This identifies the immediate recovery targets for your sales team, regardless of how many current orders you have.
Assuming product data is centralized
Trying to find a specific product's price and SKU by just looking at the customer profile (list_store_customers). The customer record won't contain inventory details.
You must use get_product_store_details with a known product ID or SKU. This tool provides the authoritative source for all product metadata.
When It Fits, When It Doesn't
Use this MCP if your primary need is querying historical or current transactional data: what was sold, who bought it, and what's missing from carts. It handles structured e-commerce facts like pricing, SKU details, and order statuses. Don't use it if you need real-time behavioral analysis (e.g., 'What pages did users look at for 5 minutes?'). For that, you need a separate clickstream logging tool. If your goal is to build a predictive model based on unstructured data like customer reviews or social media sentiment, this MCP won't help; focus instead on connecting it to an NLP-capable knowledge base.
Questions you might have
Can I use list_store_products to check if a product is in the correct category? +
No, list_store_products only lists the items. To see what categories they belong to, you should run list_store_categories first and then manually verify the relationship. The tool doesn't cross-reference them.
How do I get details for a specific order using get_order_store_details? +
You provide the unique, identifying order ID in your prompt. The agent then uses get_order_store_details to pull back everything related to that transaction—items purchased, final price, and status.
Is list_store_customers enough for marketing segmentation? +
No. While list_store_customers gives you the profile name, it doesn't give purchase history. For that, you must combine this tool with list_store_orders to build a complete customer view.
Can I check product details using get_product_store_details if I only have an SKU? +
Yes. The tool accepts the specific product identifier, like an SKU or unique ID. It then returns all associated metadata, including price and brand information.
How do I use `get_abandoned_carts` to find specific customers who haven't purchased in 7 days? +
The tool returns a list of all abandoned carts. You process this data outside the chat environment, filtering for cart age and associated customer IDs to generate your follow-up list.
When I run `list_store_brands`, does it include brands that are no longer active in the catalog? +
It lists all configured product brands. The tool shows you every brand associated with your store, so you can verify which ones need to be marked inactive manually.
Does `list_store_categories` help me map out my entire product taxonomy structure? +
Yes, it retrieves all defined categories. The output helps visualize the hierarchy of your store's organization, letting you see parent and sub-categories at a glance.
If I use `list_store_orders` to check bulk order data, are there rate limits or pagination options? +
The MCP handles large datasets by paginating results. If you query an excessive volume of orders in one request, the system will prompt you to continue fetching data in batches.
Can I see a list of abandoned carts through the agent? +
Yes! Use the get_abandoned_carts tool. The agent will return all recent shopping sessions that were not completed, allowing you to plan recovery campaigns.
How do I check the stock status or SKU for a product? +
Use the list_store_products tool to see a summary, or get_product_store_details with the product ID for detailed inventory information.
Where do I find my CloudCart API credentials? +
Log in to your CloudCart admin panel, navigate to Settings, and select API Keys. You can generate a new Client ID and Client Secret there.
We've already built the connector for CloudCart. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting.
You're up and running in seconds.
Gemini Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.
Built, hosted, and secured by Vinkius. You just connect and go.