Video MCP Server
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| extract_video_framesC | 从视频中提取关键帧图像 |
| analyze_video_contentB | 使用腾讯混元多模态API分析视频内容 |
| analyze_image_batchC | 批量分析图片内容 |
| get_video_infoC | 获取视频文件基本信息 |
| generate_video_scriptC | 基于视频内容生成专业拍摄脚本 |
| generate_image_scriptB | 基于批量图片内容生成专业拍摄脚本 |
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 6 tools
Each tool targets a distinct part of the video/image processing pipeline: extracting frames, analyzing content, getting metadata, and generating scripts. The only minor ambiguity is between the 'analyze' tools and the corresponding 'generate_script' tools, since both operate on the same input types, but their purposes are still clearly differentiated.
Tool names consistently follow a verb_noun pattern using lowercase snake_case, such as extract_video_frames, analyze_video_content, and generate_video_script. This makes the tool set predictable and easy for an agent to navigate.
Six tools is a well-scoped size for a video and image analysis server focused on content understanding and script generation. Each tool has a clear role in the workflow without unnecessary redundancy.
The core workflow of ingesting video/images, extracting frames, analyzing content, and generating scripts is well covered. Minor gaps exist around output management, such as editing or saving generated scripts, but these are not essential to the server's stated purpose.