A
licenseA
qualityC
maintenanceEnables natural language search of local photo archives using AI-powered semantic understanding, with integration into Claude Desktop via the Model Context Protocol.
4
2
MIT
Fast Video Cataloger
Officialby frelo
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TDQS
A3.7/5.0
Scored across 23 tools
Disambiguation5/5
Each tool targets a clearly distinct resource or action, with little overlap. The various search tools (search_videos, search_scenes, search_transcripts, search_scenes_semantic) are well differentiated by the entity they search and the method used. Tagging and untagging tools are split by scope (video vs scene), and bin tools are distinct from video and scene tools.
Naming Consistency4/5
Almost all tools follow a consistent verb_noun snake_case pattern (e.g., get_video, search_scenes, tag_video, list_bins). The only notable deviation is catalog_stats, which uses a noun_noun form without a verb. This is a minor inconsistency in an otherwise predictable naming scheme.
Tool Count3/5
With 23 tools, the set falls into the borderline-heavy range for an MCP server. While the domain (video catalog with bins, scenes, transcripts, actors, tags, and indexing) is broad, some tools could potentially be consolidated (e.g., add/remove tag pairs), and the count feels high relative to the missing lifecycle operations.
Completeness3/5
The toolset covers search, tagging, bins, indexing, and transcript/scene access well, but lacks basic update and delete operations for core entities: there is no update_video, delete_video, delete_bin, or remove_video_from_bin. These gaps mean the surface is not a complete CRUD/lifecycle set for the catalog.
Maintenance
ActivityMaintained
ResponsivenessNo issues