How to Use the GrazeCart MCP in Cursor

Q: How do I add the GrazeCart server to my Cursor setup?

Create a .cursor/mcp.json file in your project root. Add the server config with your command, arguments, and Vinkius token, then enable Agent mode in chat.

Q: Can I safely run inventory updates on GrazeCart through Cursor?

Yes. The agent uses updateinventory to write changes directly to your live store. We recommend testing on a staging store first if you are running automated scripts.

Build custom local food workflows in Cursor by letting your agent query GrazeCart inventory and process orders as you write code.

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Connect GrazeCart MCP to Cursor

Create your Vinkius account to connect GrazeCart 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 GrazeCart with Cursor

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Your agent pulls live store information using `list_products` and `get_product` to eliminate fake mock data from your environment. When you write code in Cursor, your agent pulls live store information. This lets you write and test inventory scripts against the actual state of your store. By running this server in agent mode, you can ask the editor to generate a script that syncs inventory, then watch it execute the real logic. The agent uses `update_inventory` to commit changes. It saves hours of manual testing.

Automate customer profile updates during development

Your agent searches active accounts using `list_customers` and pulls specific profile details via `get_customer` to keep buyer data clean. Managing local buyers requires clean data across your tools. You can write custom admin tools while the editor inspects real customer records. If you need to register a test user, the agent runs `create_customer` instantly. This makes building custom loyalty programs or CRM integrations incredibly fast. You get real API feedback directly inside your workspace.

Sync logistics and pickup schedules

Your agent reads your active distribution points using `list_pickup_locations` and `list_delivery_zones` to coordinate local food delivery. This lets you build custom routing scripts that match real-world delivery boundaries. If you need to adjust order details during testing, the agent uses `update_order` to update the delivery parameters. You do not have to keep a browser window open to check if your code matches your store settings. The editor handles the data retrieval for you.

Setup guide

Set up GrazeCart 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 GrazeCart 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 GrazeCart transactions." If the MCP tools are loaded correctly, Cursor will call the GrazeCart tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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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 GrazeCart. 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 GrazeCart MCP in Cursor

Create a `.cursor/mcp.json` file in your project root. Add the server config with your command, arguments, and Vinkius token, then enable Agent mode in chat.

Yes. The agent uses `update_inventory` to write changes directly to your live store. We recommend testing on a staging store first if you are running automated scripts.

Yes. You can ask the agent to inspect a specific transaction. It will run `get_order` to pull the exact error details and help you patch your integration code.

No. The server connects directly to your online store API. It pulls live pickup and delivery data on demand without local storage.

Every request runs inside an isolated V8 sandbox container. Your customer profiles, order history, and inventory counts are transmitted directly to your store endpoints over encrypted connections and are never saved.

Use it with your favorite AI tools

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