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Glama
pickstar-2002

Video Metadata MCP

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

NameDescription
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

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 8 tools

Disambiguation4/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness4/5

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.