How to Use the Veeqo MCP in Cursor

Q: How can I use Veeqo with Cursor?

You configure the server in your project root via .cursor/mcp.json. Once set, the AI agent mode lets you write code that calls tools like listshipments and uses the live results immediately.

Q: Can I get product details using Veeqo and Cursor?

Yes. The getproductdetails tool allows your agent mode to fetch specific product data, letting you write functions that validate or display item characteristics in real-time code snippets.

Q: Does the MCP Server support Veeqo order listing with Cursor?

It does. Using listorders and getorderdetails, your AI agent can construct logic that fetches, filters, and processes multiple orders into working code blocks.

Q: Is this good for Veeqo inventory management in Cursor?

It's excellent. By pairing listinventoryproducts with your coding efforts, you build robust systems that manage stock levels and product details using live data flows.

Write code that talks to Veeqo’s e-commerce tools right inside Cursor.

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Connect Veeqo MCP to Cursor

Create your Vinkius account to connect Veeqo to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Veeqo with Cursor

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Claude

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Draft order fulfillment logic

`get_order_details` lets the AI inject real, live data into your code. You can write a function that accepts an Order ID and then uses the tool to pull all relevant details. The generated code won't use mock stubs; it will execute against Veeqo’s API response structure. This means you get working functions immediately.

Build inventory reporting scripts

`list_inventory_products` provides the raw data needed for stock checks. You can write a script that iterates over this list, checking product status or calculating total available units. It’s perfect for building internal tools that need to read current stock levels across multiple channels without manual API calls.

Query customer and order lists

`list_customers` generates a list of users, which you can then pass into code that uses `list_orders`. This lets your application build complex logic around user activity. The result is functional Python or TypeScript code that accurately reflects current Veeqo data—you don't have to worry about the API format.

Setup guide

Set up Veeqo MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Veeqo MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Veeqo transactions." If the MCP tools are loaded correctly, Cursor will call the Veeqo tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "veeqo-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Veeqo. 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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Common questions about Veeqo MCP in Cursor

You configure the server in your project root via `.cursor/mcp.json`. Once set, the AI agent mode lets you write code that calls tools like `list_shipments` and uses the live results immediately.

Yes. The `get_product_details` tool allows your agent mode to fetch specific product data, letting you write functions that validate or display item characteristics in real-time code snippets.

It does. Using `list_orders` and `get_order_details`, your AI agent can construct logic that fetches, filters, and processes multiple orders into working code blocks.

It's excellent. By pairing `list_inventory_products` with your coding efforts, you build robust systems that manage stock levels and product details using live data flows.

This server handles all core e-commerce functions: customer records, inventory data (SKUs), order history, shipment tracking information, and product specifications.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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