Kling AI MCP connector

1. Install the SDK

   Node.js

   npm install @scalekit-sdk/node

   Python

   pip install scalekit

   Full SDK reference: Node.js | Python

2. Set your credentials

   Add your Scalekit credentials to your .env file. Find values in app.scalekit.com > Developers > API Credentials.

   .env

   SCALEKIT_ENVIRONMENT_URL=<your-environment-url>
   SCALEKIT_CLIENT_ID=<your-client-id>
   SCALEKIT_CLIENT_SECRET=<your-client-secret>

3. Authorize and make your first call

   Node.js

   quickstart.ts

   import { ScalekitClient } from '@scalekit-sdk/node'
   import 'dotenv/config'
   
   const scalekit = new ScalekitClient(
     process.env.SCALEKIT_ENV_URL,
     process.env.SCALEKIT_CLIENT_ID,
     process.env.SCALEKIT_CLIENT_SECRET,
   )
   const actions = scalekit.actions
   
   const connector = 'klingmcp'
   const identifier = 'user_123'
   
   // Generate an authorization link for the user
   const { link } = await actions.getAuthorizationLink({ connectionName: connector, identifier })
   console.log('Authorize Kling AI MCP:', link)
   process.stdout.write('Press Enter after authorizing...')
   await new Promise(r => process.stdin.once('data', r))
   
   // Make your first call
   const result = await actions.executeTool({
     connector,
     identifier,
     toolName: 'klingmcp_kling_list_actions',
     toolInput: {},
   })
   console.log(result)

   Python

   quickstart.py

   import os
   from scalekit.client import ScalekitClient
   from dotenv import load_dotenv
   load_dotenv()
   
   scalekit_client = ScalekitClient(
       env_url=os.getenv("SCALEKIT_ENV_URL"),
       client_id=os.getenv("SCALEKIT_CLIENT_ID"),
       client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),
   )
   actions = scalekit_client.actions
   
   connection_name = "klingmcp"
   identifier = "user_123"
   
   # Generate an authorization link for the user
   link_response = actions.get_authorization_link(
       connection_name=connection_name,
       identifier=identifier,
   )
   print("Authorize Kling AI MCP:", link_response.link)
   input("Press Enter after authorizing...")
   
   # Make your first call
   result = actions.execute_tool(
       tool_input={},
       tool_name="klingmcp_kling_list_actions",
       connection_name=connection_name,
       identifier=identifier,
   )
   print(result)

What you can do

Connect this agent connector to let your agent:

• List kling — List all available Kling models for video generation
• Get kling — Query multiple video generation tasks at once
• Image kling generate video from — Generate AI video using reference images as start and/or end frames
• Video kling generate, kling extend — Generate AI video from a text prompt using Kling
• Motion kling generate — Transfer motion from a reference video to a character image

Tool list

Use the exact tool names from the Tool list below when you call execute_tool. If you’re not sure which name to use, list the tools available for the current user first.

klingmcp_kling_extend_video#Extend an existing video with additional content.6 params▾

Extend an existing video with additional content.

NameTypeRequiredDescription

promptstringrequiredDescription of what should happen in the extended portion of the video.

video_idstringrequiredID of the video to extend.

cfg_scalenumberoptionalClassifier-free guidance scale controlling prompt adherence.

modestringoptionalGeneration mode controlling quality and resolution.

modelstringoptionalKling model to use for the extension.

negative_promptstringoptionalThings to avoid in the extended video.

klingmcp_kling_generate_motion#Transfer motion from a reference video to a character image.7 params▾

Transfer motion from a reference video to a character image.

NameTypeRequiredDescription

image_urlstringrequiredURL of the character image to animate.

video_urlstringrequiredURL of the reference video providing the motion to transfer.

callback_urlstringoptionalWebhook URL to receive task completion notifications.

character_orientationstringoptionalOrientation source for the character.

keep_original_soundstringoptionalWhether to keep the original sound from the reference video ('yes' or 'no').

modestringoptionalGeneration mode controlling quality and resolution.

promptstringoptionalOptional text description to guide the motion transfer.

klingmcp_kling_generate_video#Generate AI video from a text prompt using Kling.10 params▾

Generate AI video from a text prompt using Kling.

NameTypeRequiredDescription

promptstringrequiredDescription of the video to generate.

aspect_ratiostringoptionalVideo aspect ratio.

callback_urlstringoptionalWebhook URL to receive task completion notifications.

camera_controlstringoptionalCamera control parameters as a JSON string.

cfg_scalenumberoptionalClassifier-free guidance scale controlling prompt adherence.

durationintegeroptionalVideo duration in seconds.

generate_audiobooleanoptionalWhether to generate audio synchronously alongside the video.

modestringoptionalGeneration mode controlling quality and resolution.

modelstringoptionalKling model to use for video generation.

negative_promptstringoptionalThings to avoid in the generated video.

klingmcp_kling_generate_video_from_image#Generate AI video using reference images as start and/or end frames.11 params▾

Generate AI video using reference images as start and/or end frames.

NameTypeRequiredDescription

promptstringrequiredDescription of the video motion and content.

aspect_ratiostringoptionalVideo aspect ratio.

callback_urlstringoptionalWebhook URL to receive task completion notifications.

cfg_scalenumberoptionalClassifier-free guidance scale controlling prompt adherence.

durationintegeroptionalVideo duration in seconds.

end_image_urlstringoptionalURL of the image to use as the last frame of the video.

generate_audiobooleanoptionalWhether to generate audio synchronously alongside the video.

modestringoptionalGeneration mode controlling quality and resolution.

modelstringoptionalKling model to use for video generation.

negative_promptstringoptionalThings to avoid in the generated video.

start_image_urlstringoptionalURL of the image to use as the first frame of the video.

klingmcp_kling_get_task#Query the status and result of a video generation task.1 param▾

Query the status and result of a video generation task.

NameTypeRequiredDescription

task_idstringrequiredThe task ID returned from a generation request.

klingmcp_kling_get_tasks_batch#Query multiple video generation tasks at once.1 param▾

Query multiple video generation tasks at once.

NameTypeRequiredDescription

task_idsarrayrequiredList of task IDs to query. Maximum recommended batch size is 50 tasks.

klingmcp_kling_list_actions#List all available Kling API actions and corresponding tools.0 params▾

List all available Kling API actions and corresponding tools.

klingmcp_kling_list_models#List all available Kling models for video generation.0 params▾

List all available Kling models for video generation.