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

Q: How do I handle polling Kling AI (Generative Video & Image) tasks in a bash script using Claude Code?

You can use a while loop in your script. Call the generation tool to get a task ID, then loop and call the corresponding gettask tool, checking the 'status' field in the JSON output. Exit the loop when the status is 'succeed' or 'failed'.

Q: Is there a way to list all my video tasks?

Yes, the server includes a listvideotasks tool. You can call this with Claude Code to get a list of your recent video generation jobs and their current statuses. It's useful for monitoring batch processes.

Automate video and image generation in your CI/CD pipelines and cron jobs with Kling AI and Claude Code.

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Connect Kling AI (Generative Video & Image) MCP to Claude Code

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

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Headless Video Generation for CI/CD

This is for your backend automation. Trigger a GitHub Action when a new blog post is merged. The action can use Claude Code to call `text_to_video` with the post's title, get the task ID, and then enter a polling loop on `get_video_task`. Once the video is ready, the script can upload the final MP4 to your CDN and update the post. The entire process is headless and fully automated. This is what an MCP server is for.

Batch Process Images and Videos

You've got a thousand product images you need to animate. Don't do it by hand. Write a simple shell script that reads a list of image URLs and pipes each one to a Claude Code command that calls `image_to_video`. Your script collects the task IDs and can then use `get_video_task` to check on progress or `list_video_tasks` to get an overview. This MCP connection makes it simple to run large-scale, asynchronous jobs right from your terminal.

Build Backend Integrations with this MCP Server

Connect Kling AI to the rest of your infrastructure. You can have a service that listens to a message queue. When a new message arrives, a script uses Claude Code to generate a lip-synced video with `lip_sync_video`, polls with `get_lipsync_task`, and pushes the final MP4 URL to another system. This turns the Kling AI toolset into a composable, event-driven part of your backend. It's just another command-line tool, but for generating cinematic video.

Setup guide

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

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see kling-ai-generative-video-image-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Kling AI (Generative Video & Image) transactions." It will automatically discover and invoke the available Kling AI (Generative Video & Image) tools.

Terminal

claude mcp add --transport http kling-ai-generative-video-image-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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

You can use a `while` loop in your script. Call the generation tool to get a task ID, then loop and call the corresponding `get_*_task` tool, checking the 'status' field in the JSON output. Exit the loop when the status is 'succeed' or 'failed'.

Absolutely. You install Claude Code in your Dockerfile, add your Vinkius config, and then you can run commands from within the container. This is perfect for creating portable, reproducible video generation jobs.

Automating social media video creation from article headlines, generating personalized video messages from a CRM trigger, or batch-creating product animations for an e-commerce site are all common uses. Anything you can script, you can automate.

Yes, the server includes a `list_video_tasks` tool. You can call this with Claude Code to get a list of your recent video generation jobs and their current statuses. It's useful for monitoring batch processes.

The server processes your text prompts, audio files for lip-sync, and any source image or video URLs you provide. All requests are handled in a zero-trust, ephemeral Vinkius environment. No data from your request is stored after the job is done.

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