yt-analytics-mcp
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TDQS
Scored across 9 tools
Each tool targets a distinct analytical facet: channel identity, channel totals, traffic sources, video ranking, specific video metrics, retention curve, geography, playlist performance, and publish-relative comparison. Even overlapping tools (top_videos vs video_performance) are clearly differentiated as discovery vs known-video lookup, and episode_race explicitly reframes comparisons by publish age.
All tool names follow the yt_ prefix with lowercase snake_case descriptive phrases (channel_info, traffic_sources, episode_race). The pattern is uniform and predictable, making it easy to infer a tool's purpose from its name alone.
Nine tools cover the major dimensions of YouTube channel analytics without redundancy or bloat. Each tool addresses a meaningful analysis question, and the count is well within the ideal 3-15 range.
The surface covers core analytics: channel totals, traffic, top videos, per-video metrics, retention, geography, and playlists. A notable gap is demographic breakdowns (age/gender) and possibly device/reporting data, but these are less central and the provided tools cover the primary workflows.