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

Q: How does Windsurf's Cascade handle polling Kling AI (Generative Video & Image) tasks?

Cascade does it automatically. When a tool like texttovideo returns a task ID, Cascade knows it needs to use getvideotask to check the status. You don't have to prompt it—it's part of the autonomous planning.

Let Windsurf's Cascade agent generate entire video campaigns from a single prompt with the Kling AI MCP Server.

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

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

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Automate Video Creation

Give Cascade a goal, not a series of steps. Tell it to "create a product demo video," and it figures out the rest. It uses `text_to_video` to start the job, gets the task ID, and then automatically polls `get_video_task` in the background. You don't have to sit there and wait. This is how you get actual work done. Cascade can even take the finished video URL and pass it to another tool, like posting it to a social media account. You set the objective, and your agent handles the mechanics of video generation from start to finish. This is what an MCP server is for.

Build Virtual Try-On Pipelines

Stop manually creating product mockups. With Windsurf, you can point Cascade at a folder of product images and a model photo. It will build and execute a plan on its own: call `virtual_try_on` for every garment, poll `get_tryon_task` for each one, and then assemble a gallery of the final images. Because Cascade can chain these actions, you can generate hundreds of try-on combinations without writing a single line of code. It just works. Connect this server, give Cascade a high-level goal, and watch it build out your e-commerce assets.

Chain Image and Video Tools in Windsurf

The real power here is combining tools. Cascade can plan a multi-stage creative workflow. For instance, ask it to generate ad concepts. It could use `text_to_image` to create a dozen static images, poll `get_image_task` until they're ready, and then feed the best ones into `image_to_video` to create animations. This isn't just about running one tool. It's about Windsurf's agent using the Kling AI toolset to complete a complex creative task. You get the final assets without having to manage each intermediate step. That's the point.

Setup guide

Set up Kling AI (Generative Video & Image) MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Kling AI (Generative Video & Image) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Kling AI (Generative Video & Image) payment history." If connected, Cascade will call the Kling AI (Generative Video & Image) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "kling-ai-generative-video-image-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Kling AI (Generative Video & Image) MCP in Windsurf

Cascade does it automatically. When a tool like `text_to_video` returns a task ID, Cascade knows it needs to use `get_video_task` to check the status. You don't have to prompt it—it's part of the autonomous planning.

Yes, this is a primary use case. You can instruct Cascade to generate virtual try-on images for your entire clothing catalog using `virtual_try_on` and `get_tryon_task`. It can run this as a background process and deliver the final image URLs.

Just connect the server and start talking to Cascade. Give it a direct command like, "Use Kling AI to create a cinematic video of a futuristic city in the rain." It will find the `text_to_video` tool and execute the job.

The server exposes the models available through the Kling AI API, including `kling-v1`, `kling-v2`, and `kling-v3`. You can specify which one to use in your prompt to Cascade.

The server only handles the data needed for the job, like your text prompts and any source image URLs. Vinkius runs every request in a sandboxed, ephemeral container. Nothing is stored after your request is complete.

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