How to Use the Claid AI MCP in Cursor

Q: Can Cursor generate code using Claid AI schemas?

Yes, Cursor queries listavailableaioperations to understand the exact parameters Claid AI expects. This allows the editor to write accurate, ready-to-run code for image upscaling or background removal.

Q: How does Claid AI handle async tasks in Cursor?

When you build async pipelines, Cursor uses getprocessingtaskdetails to write polling logic. Test this logic directly inside the editor to ensure your application handles long-running image operations correctly.

Generate code that processes and upscales product photos with Claid AI in Cursor.

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Connect Claid AI MCP to Cursor

Create your Vinkius account to connect Claid AI 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 Claid AI with Cursor

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Generate live image processing code in Cursor

`list_available_ai_operations` lets your Cursor agent retrieve the exact image processing parameters supported by the API. Instead of writing code with placeholder API calls, your editor pulls active operation schemas to generate working code on the spot. Cursor uses this real-time API schema to write flawless integration code. You get immediately executable node or python scripts that match Claid's actual capabilities without checking external documentation.

Test image background removal directly in your editor

`remove_image_background` runs background isolation directly from your Cursor chat window. You pass a product image URL to the editor and watch the agent strip the background using the active MCP Server connection. This inline execution lets you verify the API's output quality before committing your code. You write the UI for your e-commerce storefront while seeing exactly how the processed images will look.

Build automated upscale workflows in Cursor

`upscale_image_resolution` increases image size and clarity directly through your editor's terminal or chat interface. Your Cursor agent can write a script to batch-upscale assets and test it immediately using your live credentials. This MCP workflow cuts out the manual testing loop entirely. You write, execute, and debug your image processing pipelines in one unified development environment.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "claid-ai-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 Claid AI. 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 Claid AI MCP in Cursor

Create a .cursor/mcp.json file in your project root and add the Claid AI MCP Server configuration. Once added, Cursor's Agent mode can immediately access all image processing tools during your coding sessions.

Yes, Cursor queries `list_available_ai_operations` to understand the exact parameters Claid AI expects. This allows the editor to write accurate, ready-to-run code for image upscaling or background removal.

When you build async pipelines, Cursor uses `get_processing_task_details` to write polling logic. Test this logic directly inside the editor to ensure your application handles long-running image operations correctly.

No, the server runs in a secure cloud environment hosted by Vinkius. Cursor communicates with the API via the secure MCP endpoint, meaning you only need your API token to start coding.

Your API credentials are encrypted and stored in your local Cursor configuration files. They are only sent to the Vinkius MCP Server over HTTPS, ensuring your private e-commerce keys never leak into public code repositories.

Use it with your favorite AI tools

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

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