YouTube Outlier MCP
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TDQS
Scored across 5 tools
Each tool targets a distinct resource/action: channel metadata, channel videos, outlier detection on those videos, channel search, and global trending. No two tools could be confused for one another; purposes are clearly separated.
All tool names follow a consistent verb_noun pattern: resolve_channel, get_channel_videos, find_outlier_videos, search_channels, get_trending. The verbs are specific and the nouns are descriptive, making the pattern predictable and easy to scan.
Five tools is well within the ideal 3–15 range and aligns nicely with the server's focused purpose (YouTube outlier detection). Each tool covers a necessary step without redundancy or bloat.
The core workflow is covered: resolve a channel, list its videos, detect outliers, and optionally search channels or check trending. Minor gaps exist (e.g., no way to manually define outlier thresholds or fetch video-level comments), but these don't break the primary use case.