Can I check the progress of my video generation task?

Yes. Use the `get_video_task` tool with your Task ID. Your agent will poll the Kling API and report the current status (Submitted, Processing, or Succeed). Once finished, it will provide the direct MP4 download URLs.

How does the AI Virtual Try-On work through my agent?

Use the `virtual_try_on` tool and provide a public URL of a target person and a garment image. Your agent will submit the job to Kolors AI, which naturally blends the clothing onto the person. You can then retrieve the final image using the Task ID.

Can I synchronize audio to a video portrait using my agent?

Absolutely. The `lip_sync_video` tool allows you to submit a portrait video and a driving audio file. Your agent will trigger the AI lip-sync process to align the mouth movements to the speech, perfect for creating professional avatars.

Kling AI (Generative Video & Image) MCP Server for Cursor 10 tools — connect in under 2 minutes

Name: Kling AI (Generative Video & Image)
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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Classic Setup·json

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

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Kling AI (Generative Video & Image) MCP Server

Connect your Kling AI account to any AI agent and take full control of state-of-the-art generative video and creative media production through natural conversation.

Cursor's Agent mode turns Kling AI (Generative Video & Image) into an in-editor superpower. Ask Cursor to generate code using live data from Kling AI (Generative Video & Image) and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Text-to-Video — Generate cinematic, high-fidelity AI videos from scenic descriptions using the Kling V3 engine directly from your agent
Image Animation — Transform static frames into dynamic videos (image-to-video) with precise control over motion trajectories and dynamics
AI Virtual Try-On — Map digital garments naturally onto human models using Kolors AI to visualize fashion assets in real-world contexts
Lip-Sync Video — Synchronize speech and mouth movements to video portraits using audio files for professional AI-driven avatars
High-Quality Text-to-Image — Generate up to 4 high-fidelity images simultaneously using the Kolors architecture for rapid visual iteration
Task Orchestration — Manage asynchronous generation jobs, poll for status updates, and retrieve final MP4 and image URLs securely

The Kling AI (Generative Video & Image) MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

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

Follow these steps to integrate the Kling AI (Generative Video & Image) MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Kling AI (Generative Video & Image)

Open Agent mode in chat and ask: "Using Kling AI (Generative Video & Image), help me..." — 10 tools available

Why Use Cursor with the Kling AI (Generative Video & Image) MCP Server

Cursor AI Code Editor provides unique advantages when paired with Kling AI (Generative Video & Image) through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Kling AI (Generative Video & Image) + Cursor Use Cases

Practical scenarios where Cursor combined with the Kling AI (Generative Video & Image) MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Kling AI (Generative Video & Image) MCP Tools for Cursor (10)

These 10 tools become available when you connect Kling AI (Generative Video & Image) to Cursor via MCP:

get_image_task

When status is succeed, returns the generated image URLs. Check the processing status of a Kling image task

get_lipsync_task

Retrieve the final MP4 when succeed. Check the status of an AI Lip-Sync task

get_tryon_task

Once succeeded, retrieves the final composited image URL. Check the status of an AI Virtual Try-On task

get_video_task

If succeeded, returns the final MP4 URLs. Check the processing status and retrieve results of a Kling video task

image_to_video

Returns a Task ID for polling. Animate a static image into a video using Kling AI

lip_sync_video

Returns a Task ID. Drive mouth movements and synchronize speech to a video portrait

list_video_tasks

List recent Kling AI video generation tasks

text_to_image

Generates up to 4 images. Returns a Task ID for polling. Generate images from text using Kolors AI model via Kling

text_to_video

Returns a Task ID that must be polled until completion (status: succeed). Models: kling-v1, kling-v2, kling-v3. Generate a cinematic AI video from a text prompt using Kling V3

virtual_try_on

Blends a source garment image naturally onto a target person's photo. Returns a Task ID. Map digital garments onto human models using AI Virtual Try-On

Example Prompts for Kling AI (Generative Video & Image) in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Kling AI (Generative Video & Image) immediately.

"Generate a 5-second cinematic video of a futuristic city in the rain using Kling V3"

"Animate this static image into a video with gentle camera pan: [url]"

"What is the status of my virtual try-on task ID 'try-456'?"

Troubleshooting Kling AI (Generative Video & Image) MCP Server with Cursor

Common issues when connecting Kling AI (Generative Video & Image) to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Kling AI (Generative Video & Image) + Cursor FAQ

Common questions about integrating Kling AI (Generative Video & Image) MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design — tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.