MCP Kling
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_videoC | Generate a video from text prompt using Kling AI |
| generate_image_to_videoC | Generate a video from an image using Kling AI |
| check_video_statusB | Check the status of a video generation task |
| extend_videoA | Extend a video by 4-5 seconds using Kling AI. This feature allows you to continue a video beyond its original ending, generating new content that seamlessly follows from the last frame. Perfect for creating longer sequences or adding additional scenes to existing videos. |
| create_lipsyncA | Create a lip-sync video by synchronizing mouth movements with audio. Supports both text-to-speech (TTS) with various voice options or custom audio upload. The original video must contain a clear, steady human face with visible mouth. Works with real, 3D, or 2D human characters (not animals). Video length limited to 10 seconds. |
| apply_video_effectA | Apply pre-defined animation effects to static images using Kling AI. Create emotionally expressive videos from portraits with effects like hugging, kissing, or playful animations. Dual-character effects (hug, kiss, heart_gesture) require exactly 2 images. Single-image effects (squish, expansion, fuzzyfuzzy, bloombloom, dizzydizzy) require 1 image. Perfect for social media content and creative storytelling. |
| generate_imageB | Generate images from text prompts using Kling AI. Create high-quality images with multiple aspect ratios and optional character reference support. Supports models v1, v1.5, and v2 with customizable parameters for creative control. |
| check_image_statusC | Check the status of an image generation task |
| virtual_try_onA | Apply virtual clothing try-on to a person image using AI. Upload a person image and up to 5 clothing items to see how they would look wearing those clothes. Supports both single and multiple clothing combinations for complete outfit visualization. |
| get_resource_packagesA | Get detailed information about your Kling AI resource packages including remaining credits, expiration dates, and package types. Useful for monitoring API usage and planning resource allocation. |
| get_account_balanceA | Check your Kling AI account balance and total available credits. Provides a comprehensive overview of your account status including total balance and breakdown by resource packages. |
| list_tasksB | List all your Kling AI generation tasks with filtering options. View task history, check statuses, and filter by date range or status. Supports pagination for browsing through large task lists. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 12 tools
Most tools have distinct purposes, such as generate_image for images and generate_video for videos, but there is some overlap between generate_video and generate_image_to_video, which could cause confusion about when to use each. However, descriptions clarify that generate_image_to_video starts from an image, while generate_video starts from text, helping to mitigate ambiguity.
All tool names follow a consistent snake_case pattern with clear verb_noun structures, such as generate_image, check_video_status, and list_tasks. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming conventions.
With 12 tools, the server is well-scoped for AI media generation and management, covering image creation, video effects, status checks, and account operations. Each tool serves a specific function without redundancy, making the count appropriate for the domain.
The tool set provides comprehensive coverage for AI media workflows, including generation, effects, status tracking, and account management. A minor gap exists in lacking tools for deleting or managing tasks beyond listing, but core operations are well-covered for creative and administrative needs.