How to Use the Kling AI (Generative Video & Image) MCP in Cursor

Q: How do I configure the Kling AI (Generative Video & Image) MCP Server for a single project in Cursor?

Add the server configuration to .cursor/mcp.json in your project root. Once saved, the Cursor agent immediately gains access to all ten Kling generation and polling tools.

Q: What tool should I use to check ongoing render jobs?

Use the listvideotasks tool to retrieve a list of recent video generations. This gives you the status and task IDs for all active renders in your queue.

Generate video assets and test virtual try-on pipelines directly in Cursor using this MCP Server.

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Connect Kling AI (Generative Video & Image) MCP to Cursor

Create your Vinkius account to connect Kling AI (Generative Video & Image) 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 Kling AI (Generative Video & Image) with Cursor

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Claude

Perplexity

Build video workflows with this custom MCP Server

The `text_to_video` tool lets you generate cinematic video clips using Kling V3 directly from the Cursor agent chat. You write prompts in the editor, and the agent executes the generation to return a real task ID. Instead of coding mock endpoints, your agent runs `get_video_task` to poll the production API. You get real MP4 links injected straight into your codebase to verify your frontend player layout.

Test virtual try-on features inside Cursor

The `virtual_try_on` tool maps digital apparel images onto human models to generate realistic e-commerce photos. This allows you to test your retail app's visual logic directly from your workspace. The agent uses `get_tryon_task` to poll the compositing status and retrieve the final image URL. You see exactly how the API handles garment blending without leaving your code editor.

Generate assets using Cursor and Kolors AI

The `text_to_image` tool generates up to four high-resolution images using the Kolors model via the Kling API. Your agent takes your prompt, starts the task, and returns a unique ID for tracking. To retrieve the final image URLs, the agent calls `get_image_task` once the status transitions to succeed. This gives you instant access to visual assets right inside your development directory.

Setup guide

Set up Kling AI (Generative Video & Image) 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 Kling AI (Generative Video & Image) 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 Kling AI (Generative Video & Image) transactions." If the MCP tools are loaded correctly, Cursor will call the Kling AI (Generative Video & Image) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "kling-ai-generative-video-image-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 Kling 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 Kling AI (Generative Video & Image) MCP in Cursor

The agent calls the tools directly when you ask for video or image generation. It uses `text_to_video` to start the process and writes code that handles the resulting task ID.

Yes, you can instruct the Cursor agent to write and test scripts using the `image_to_video` tool. The agent verifies the pipeline by polling `get_video_task` with real API responses.

Add the server configuration to `.cursor/mcp.json` in your project root. Once saved, the Cursor agent immediately gains access to all ten Kling generation and polling tools.

Use the `list_video_tasks` tool to retrieve a list of recent video generations. This gives you the status and task IDs for all active renders in your queue.

Your prompt text, image files, and video outputs bypass local storage and go directly to Kling's API. Vinkius processes these transactions through ephemeral, zero-trust isolates to ensure your visual assets are never stored or inspected.

Use it with your favorite AI tools

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

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