Shopline Connector for AI agents.
7 live capabilities
Manage your e-commerce store inventory and orders through natural conversation
Waiting for input…
Why people use Shopline
Shopline for Handling Shopline Order Queries
This Connector puts that data in one place for your AI. You can ask your agent to find the last ten orders, summarize the total spend, and flag any issues with pending orders. You get a clear summary of your store's health without ever leaving your chat window.
What Vinkius changes
That your AI can now perform actual store management tasks instead of just talking about them.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Resolving specific shipping issues
A customer calls about a missing package.
- Real-world use case 02
Preventing overselling during sales
You want to run a sale.
- Real-world use case 03
Identifying high-value customers
You need to send a discount to loyal fans.
Complete set · 7capabilities
The complete Shopline capability set.
These are the exact actions your AI can choose when you ask it to work with Shopline.
01—04
4 capabilities in this set.
Part of 7 available through Shopline.
- 01 Capability
List products
Get a full list of every product currently in your Shopline store. Use this to see your entire catalog at a glance.
- 02 Capability
Get product details
Pull specific details for a single product to check variants or descriptions. This helps you verify pricing and stock for specific items.
- 03 Capability
List orders
View all store orders to see what's been sold and what's pending. Use this to keep track of your daily sales volume.
- 04 Capability
Get order details
See the full breakdown of a specific order, including items and customer info. This is useful for resolving specific shipping issues.
05—07
3 capabilities in this set.
Part of 7 available through Shopline.
- 05 Capability
List customers
Browse your customer base to find specific accounts or analyze demographics. Use this to identify your most loyal buyers.
- 06 Capability
List collections
View all product collections to see how your inventory is organized. This helps you manage how your products are grouped for customers.
- 07 Capability
Get shop info
Retrieve high-level information about your overall Shopline store status. Use this to get a quick summary of your store's general info.
Set up in minutes
One URL. Then ask Shopline to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Shopline from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_qmqZbGpBKVCmiCLZ95jE90Jwbo4wYYoEJZO6lh8Y/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Shopline, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Shopline for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_qmqZbGpBKVCmiCLZ95jE90Jwbo4wYYoEJZO6lh8Y/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Shopline URL.
- Step 03
Save and start
Save the connection and enable Shopline in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"shopline": {
"url": "https://edge.vinkius.com/vk_preview_qmqZbGpBKVCmiCLZ95jE90Jwbo4wYYoEJZO6lh8Y/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Shopline
Open Agent mode in chat and ask: "Using Shopline, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"shopline": {
"url": "https://edge.vinkius.com/vk_preview_qmqZbGpBKVCmiCLZ95jE90Jwbo4wYYoEJZO6lh8Y/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Shopline
Ask Copilot: "Using Shopline, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"shopline": {
"url": "https://edge.vinkius.com/vk_preview_qmqZbGpBKVCmiCLZ95jE90Jwbo4wYYoEJZO6lh8Y/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Shopline
Open Cascade and ask: "Using Shopline, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"shopline": {
"url": "https://edge.vinkius.com/vk_preview_qmqZbGpBKVCmiCLZ95jE90Jwbo4wYYoEJZO6lh8Y/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Shopline
Ask Cline: "Using Shopline, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add shopline --transport http "https://edge.vinkius.com/vk_preview_qmqZbGpBKVCmiCLZ95jE90Jwbo4wYYoEJZO6lh8Y/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Shopline
Ask Claude: "Using Shopline, show me...". 7 tools are ready
Where the request belongs
Work Shopline can move forward.
E-commerce store owners and warehouse managers who are tired of manual data entry and constant tab-switching between order statuses and product pages.
E-commerce Store Owner
Checks daily sales and customer trends without logging into the dashboard.
Inventory Manager
Monitors stock levels across multiple collections to prevent overselling.
Customer Support Lead
Quickly pulls up customer profiles to resolve issues or identify VIPs.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsCart.com (AmeriCommerce)
E-commerce store orchestration via Cart.com. manage products, orders, and customers via AI.
Elastic Path
Manage headless commerce workflows via Elastic Path. inspect carts, track purchases, and retrieve store navigation directly from any AI agent.
Linnworks (E-commerce Ops)
Manage e-commerce operations via Linnworks. audit open orders, track inventory SKUs, and monitor multi-location stock levels.
Lemon Squeezy (Merchant of Record & Payments)
Manage your Lemon Squeezy store, products, and customers directly through AI. handle payments and subscriptions via natural conversation.
CloudCart
Manage e-commerce and store operations via CloudCart. track products, monitor orders, and manage customers directly from any AI agent.
Commerce.js
Manage your e-commerce store via Commerce.js. list products, manage carts, and handle orders directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Shopline connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Shopline.
The practical details behind the request, access and result.
Can the Shopline MCP help me manage my store's orders?
Yes, it lets your AI agent see all your orders and pull specific details for any transaction, making it easy to track fulfillment status.
How does the Shopline MCP find my customers?
It connects to your store to list all customer profiles, allowing you to find specific accounts or identify high-value buyers quickly.
Can I use the Shopline MCP to check my stock levels?
You can have your agent list all products and then look at specific details to see how many items are left in your inventory.
Does the Shopline MCP work with my current store?
It works with any Shopline store that has an active Admin API connection, giving your AI agent direct access to your data.
How does the Shopline MCP handle my product collections?
It can list all your organized collections so you can see how your products are grouped and organized for your customers.
Will the Shopline MCP help me find VIP customers?
Your agent can scan your customer list to identify high-value accounts, which is perfect for creating loyalty rewards or targeted promotions.
Can the AI forcefully transition or edit an order status directly?
Currently, the integration specifically implements reading mechanisms (list_orders, get_order_details) as a query matrix tailored explicitly around monitoring and auditing. It does not actively expose a write mutation structurally to alter or destroy existing operational orders.
Why do I need a Custom Admin API integration token and not a public one?
Because the Admin API is the unadulterated backend context designed primarily for secure backend logic rather than client storefront interfaces. This token permits your integration to run system-level monitoring, extraction over raw orders, and sensitive customer profiles natively.
Is this capability accessing the Shopline GraphQL portal or REST architecture limitlessly?
By structural intent, we implement targeted endpoints using Shopline's scalable endpoints to parse specifically filtered responses like single pagination segments to avoid massive latency. You interact efficiently bypassing raw structural limits naturally via these curated list_x and get_x procedures.
One connection away
Give your agent a direct line to Shopline.
Connect Shopline once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available