How to Use the Kiwify MCP in Cursor

Q: How does this MCP Server speed up building Kiwify apps in Cursor?

It feeds real payload structures from getsaledetails directly to the editor. This means your agent writes accurate TypeScript interfaces without you having to manually copy JSON schemas.

Build custom checkout tools and affiliate integrations in Cursor's editor using live Kiwify product and sales data.

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Connect Kiwify MCP to Cursor

Create your Vinkius account to connect Kiwify 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 Kiwify with Cursor

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Claude

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Generate functional integration code with live API data

Stop writing code against stale mock data or outdated API specs. When you write code in Cursor, this MCP Server queries your live account using `get_product_details` to inject actual pricing and SKU data directly into your workspace. The editor uses this real-world context to write precise parsing logic for your digital school or membership site. You get working code on the first try because your agent tests its generated files against actual responses from `list_products`.

Debug webhook handlers inside Cursor

Testing checkout callbacks usually requires tedious manual testing. This MCP Server allows your editor to inspect your active endpoints directly using `list_configured_webhooks` to verify where your transaction events are firing. You can register test endpoints on the fly with `create_notification_webhook` and remove them using `delete_notification_webhook` once your local server tests pass. This eliminates the guesswork when setting up post-purchase delivery systems.

Track financial metrics while you build dashboard UI

Building a custom admin panel requires knowing exactly how the data is structured. Your agent calls `get_account_summary` to understand your current balance layout and design matching UI components. You can also pull transaction lists with `list_sales_history` to design tables that match your actual sales payloads. This ensures your custom frontend displays accurate customer records from day one.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "kiwify-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 Kiwify. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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lower AI costs

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Single dashboard

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place for every integration

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Common questions about Kiwify MCP in Cursor

Add the server settings to your local mcp.json file in your project directory. Once saved, your agent can immediately fetch catalog details using `list_products`.

Yes, you can write your callback route and let your agent run `create_notification_webhook` to point traffic to your tunnel. This lets you test the entire purchase flow in your local environment.

It feeds real payload structures from `get_sale_details` directly to the editor. This means your agent writes accurate TypeScript interfaces without you having to manually copy JSON schemas.

Yes, you can instruct your agent to apply filters when calling `list_sales_history`. This helps you isolate specific customer payments during debugging sessions.

Your product specifications and sales histories are accessed via direct API calls executed within a zero-trust sandbox. The MCP Server runs in a zero-trust environment, ensuring your active subscriptions and product details remain completely isolated.

Use it with your favorite AI tools

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

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