A
licenseA
qualityB
maintenanceEnables AI assistants to query YouTube search trend data, including rising topics, video keyword growth, and historical demand, using plain language.
3
1
MIT
katto-mcp
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TDQS
A4.2/5.0
Scored across 16 tools
Disambiguation4/5
Most tools have clearly distinct purposes, but katto_get_clips overlaps with katto_get_job for retrieving clips, and katto_get_usage overlaps with katto_get_account for plan/quota data. The descriptions clarify the differences (e.g., get_job includes status/progress; get_clips is a convenience), so misselection is possible but not severe.
Naming Consistency5/5
Every tool uses the katto_ prefix with snake_case and a verb_noun pattern such as get_transcript, create_clip_job, cancel_job, list_sources, and rerender_clip. The convention is consistent across all 16 tools with no mixed styles or deviations.
Tool Count4/5
16 tools is slightly above the typical 3-15 range but remains reasonable for a video clipping service with job lifecycle, rerender/dub, and account helper operations. A couple of read helpers could be consolidated, but no tool feels entirely gratuitous.
Completeness4/5
The set covers core job creation, listing, polling, cancellation, clip retrieval, rerendering, dubbing, transcripts, and account/quota checks. Minor gaps include read-only brand kit access (no create/update) and webhook secret retrieval without explicit webhook configuration management, but these are workable.
Maintenance
ActivityActive
ResponsivenessUnresponsive