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Kling AI integration

Kuaishou's advanced AI video and image generation platform. Generate high-quality videos from text or images, create stunning visuals, perform virtual clothing try-on, and more. Features text-to-video, image-to-video, text-to-image generation, and Kolors virtual try-on capabilities.

7 toolsTokenAPI docs
Connect Kling AIHow integrations work

Common Kling AI use cases

  • Handle task errors and retries
  • Poll image generation status
  • Animate product photos for marketing
  • Enable virtual try-on for e-commerce
  • Poll image-to-video generation status
  • Generate source images for video creation
  • Poll generation status in async workflows
  • Create product demonstration videos from descriptions
  • Retrieve completed image URLs
  • Retrieve completed video URLs

What you can do with Kling AI

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Video, 4 operations

  • GETget_image2video_task

    Check the processing status and retrieve results of an image-to-video generation task.

  • GETget_text2video_task

    Check the processing status and retrieve results of a text-to-video generation task.

  • POSTimage_to_video

    Animate static images into realistic videos with camera movement and scene dynamics.

  • POSTtext_to_video

    Generate photorealistic videos from text descriptions using Kuaishou's advanced AI video model.

Image, 3 operations

  • GETget_image_task

    Check the processing status and retrieve results of an image generation task.

  • POSTtext_to_image

    Create high-quality images from text descriptions using Kling's image generation model.

  • POSTvirtual_try_on

    Apply clothing from one image onto a person in another image using AI virtual try-on technology.

Use Kling AI from Claude Code, Cursor or Codex

Connect Kling AI in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Kling AI operations become tools the client can call, next to every other integration you connected.

Claude Code
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"
Codex (~/.codex/config.toml)
[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"
Cursor, Claude Desktop and other JSON configs
{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Kling AI

  1. Create your workspace

    Sign up free. Nothing to install.

  2. Connect Kling AI once

    Add your Kling AI connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.

  3. Describe the job in chat

    The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Kling AI integration FAQ

What can you do with the Kling AI integration?
LiveContext exposes 7 operations on Kling AI, covering video and image. Common uses include Handle task errors and retries, Poll image generation status and Animate product photos for marketing.

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