Video Clip MCP
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 |
|---|---|
| clipVideoC | 剪辑视频片段,支持毫秒级精度的时间段裁剪 |
| mergeVideosC | 合并多个视频文件,支持不同格式和分辨率的智能适配 |
| splitVideoC | 分割视频文件,支持按时长、大小或段数分割 |
| getVideoInfoC | 获取视频文件的详细信息 |
| batchProcessC | 批量处理视频任务 |
| getSupportedFormatsB | 获取支持的视频格式和编码 |
| cancelTaskC | 取消指定的处理任务 |
| getTaskStatusC | 获取任务状态 |
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 8 tools
Each tool has a clearly distinct purpose with no ambiguity: batchProcess handles bulk operations, cancelTask manages task cancellation, clipVideo performs precise trimming, getSupportedFormats lists formats, getTaskStatus checks status, getVideoInfo retrieves metadata, mergeVideos combines files, and splitVideo divides videos. The descriptions specify unique functions, making tool selection straightforward for an agent.
The naming follows a consistent verb_noun pattern throughout (e.g., clipVideo, getVideoInfo, mergeVideos), with all tools using camelCase. However, there is a minor deviation with 'batchProcess' which could be more aligned as 'processBatch' or similar, but overall the pattern is predictable and readable.
With 8 tools, the count is well-scoped for a video processing server, covering core operations like clipping, merging, splitting, and task management. Each tool earns its place by addressing specific needs in the domain, avoiding bloat while providing comprehensive functionality.
The tool set offers strong coverage for video processing, including creation (clip, merge, split), retrieval (info, formats, status), and management (cancel, batch). A minor gap exists in update operations, such as modifying video metadata or adjusting tasks, but agents can work around this with the available tools for most workflows.