Video Metadata 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 |
|---|---|
| read_video_metadataC | 读取视频文件的完整元数据信息 |
| update_video_metadataC | 更新视频文件的元数据信息 |
| add_video_tagsC | 为视频添加标签 |
| remove_video_tagsC | 从视频中删除标签 |
| search_videosC | 在指定目录中搜索符合条件的视频文件 |
| batch_update_metadataC | 批量更新多个视频文件的元数据 |
| batch_add_tagsC | 批量为多个视频添加标签 |
| batch_remove_tagsC | 批量从多个视频中删除标签 |
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
Most tools have distinct purposes, but there is some overlap between add_video_tags/remove_video_tags and their batch counterparts, which could cause confusion about when to use which. The core operations (read, update, search) are clearly separated, and the batch operations are logically grouped, but the single vs. batch distinction might not always be obvious to an agent without careful reading of descriptions.
All tools follow a consistent snake_case pattern with clear verb_noun structure (e.g., add_video_tags, read_video_metadata). The naming is predictable and readable, with batch operations prefixed appropriately, making it easy to understand the tool's function at a glance.
With 8 tools, this server is well-scoped for video metadata management. It covers essential operations (read, update, search) and includes both single and batch variants for common tasks, which is reasonable and efficient for the domain without being overwhelming or too sparse.
The toolset covers key CRUD-like operations for video metadata (read, update, search, tag management), with good support for batch processing. A minor gap is the lack of a tool for deleting video files or metadata entirely, which might be needed in some workflows, but the existing tools handle most common use cases effectively.