kling-mcp
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 likekling-3.0orkling-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 likekling-ai-avatar-proorkling-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
waitparameter (defaulttrue) to poll until completion, orwait: falseto 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-mcpCreate 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.
Why This Package?
@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 4 endpoints and 11 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
Install
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.
Tools
Tool | Auth | Purpose |
| Yes | Create a Kling ai avatar task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. |
| Yes | Create a Kling image to video task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. |
| Yes | Create a Kling motion control task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. |
| Yes | Create a Kling text to video task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. |
| Yes | Fetch the current status and latest payload for an existing task. |
| No | Look up the current pricing snapshot for a Kling model and endpoint. |
Models
Kling covers 11 model variants across 4 endpoints. Each tool accepts the models listed for it:
Tool | Models |
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|
|
|
|
|
|
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Model availability can change between releases. Use check_pricing or the Kling model page for the current catalog view.
Agent Prompts
Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.
Create a task
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.
Submit without waiting
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 pricing before creating
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.
Configuration
The server resolves auth in this order:
RUNAPI_API_KEYenvironment variable, useful for headless and CI hosts~/.config/runapi/config.json, created by the MCPlogintool orrunapi loginNo 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.
Links
Resource | URL |
Kling model page | |
npm package | |
GitHub repository | |
RunAPI MCP overview | |
RunAPI docs |
License
Licensed under the Apache License, Version 2.0.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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