Integration

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.

Connect Kling AI How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Kling AI.Built from the 7 Kling AI tools below, on the connection you add once.

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

get_image2video_taskGet image2video taskGETCheck the processing status and retrieve results of an image-to-video generation task.
get_text2video_taskGet text2video taskGETCheck the processing status and retrieve results of a text-to-video generation task.
image_to_videoImage to videoPOSTAnimate static images into realistic videos with camera movement and scene dynamics.
text_to_videoText to videoPOSTGenerate photorealistic videos from text descriptions using Kuaishou's advanced AI video model.

Image, 3 operations

get_image_taskGet image taskGETCheck the processing status and retrieve results of an image generation task.
text_to_imageText to imagePOSTCreate high-quality images from text descriptions using Kling's image generation model.
virtual_try_onVirtual try onPOSTApply 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

Create your workspace
Sign up free. Nothing to install.
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.
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.