This MCP server enables AI agents to interact with Kling video generation models via RunAPI, providing tools to create video tasks, monitor results, and query pricing through a standardized interface.
Text-to-Video (text_to_video): Generate videos from text prompts using models like kling-3.0 or kling-v2.5-turbo, with options for duration (3–15s), aspect ratio, output resolution (up to 4K), sound, and multi-shot support.
Image-to-Video (image_to_video): Convert a static image into a video by supplying a prompt and first frame image URL, with optional duration (5 or 10s) and CFG scale settings.
Motion Control (motion_control): Generate videos with motion control by combining a source image and reference video, with options for output resolution (720p/1080p) and background source.
AI Avatar (ai_avatar): Generate avatar videos from a prompt, source audio URL, and source image URL, using models like kling-ai-avatar-pro or kling-ai-avatar-standard.
Get task status (get_task): Retrieve the current status and output URLs for any previously created task by its ID.
Check pricing (check_pricing): Look up current pricing for any Kling model and endpoint — no API key required.
Optional waiting: All creation tools support a wait parameter (default true) to poll until completion, or wait: false to submit and return the task ID immediately.
Only the RUNAPI_API_KEY environment variable is needed for authentication; pricing queries work without a key.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@kling-mcp Create a text-to-video task with kling-3.0"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@runapi.ai/kling-mcp is a focused Model Context Protocol server for the Kling model line on RunAPI.
It gives MCP-compatible assistants direct access to 5 endpoints and 16 model variants without loading the full RunAPI catalog.
Use this per-model server when an agent should stay scoped to Kling. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.
Related MCP server: @runapi.ai/elevenlabs-mcp
Add it to Claude Code:
claude mcp add kling -s user -- npx -y @runapi.ai/kling-mcpUse project scope when the server should be shared with a repository:
claude mcp add kling -s project -- npx -y @runapi.ai/kling-mcpCodex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:
{
"mcpServers": {
"kling": {
"command": "npx",
"args": ["-y", "@runapi.ai/kling-mcp"]
}
}
}check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login.
Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.
Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.
Tool | Auth | Purpose |
| Yes | Create a Kling ai avatar task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| Yes | Create a Kling extend video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| Yes | Create a Kling image to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| Yes | Create a Kling motion control task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| Yes | Create a Kling text to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
| Yes | Fetch the current status and latest payload for an existing task. |
| No | Look up current pricing for a Kling model and endpoint. |
Kling covers 16 model variants across 5 endpoints. Each tool accepts the models listed for it:
Tool | Models |
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Model availability can change between releases. Use check_pricing or the Kling model page for the current catalog view.
Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.
Run a Kling ai avatar task with RunAPI.The assistant can call check_pricing, then ai_avatar, and return the task id, status, and output URLs.
Create the task but don't wait for it to finish.The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.
Check current Kling pricing, then create the task if it matches my request.The assistant calls check_pricing and can link to the Kling model page for the canonical catalog entry.
The server resolves auth in this order:
RUNAPI_API_KEY environment variable, useful for headless and CI hosts
~/.config/runapi/config.json, created by the MCP login tool or runapi login
No key, which still allows check_pricing
The config file is normally managed by login. A pre-provisioned headless config can use:
{
"apiKey": "your_runapi_key"
}Do not commit real API keys.
Resource | URL |
Kling model page | |
npm package | |
GitHub repository | |
RunAPI MCP overview | |
RunAPI docs |
Licensed under the Apache License, Version 2.0.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
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