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    • A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to access YouTube organic analytics, including channel stats, video performance, watch time, and audience engagement, via the YouTube Data API v3 and Analytics API v2.
      6
      19 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to read transcripts of any public video, research channels, analyze performance, read comments, and manage multiple owned channels.
      16
      10 npm
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides AI assistants with comprehensive YouTube analytics and channel management capabilities, including channel performance, video analytics, audience insights, and content strategy tools.
      35 npm
      1
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables auditing YouTube channel analytics, second-by-second retention curves, traffic sources, top videos, demographics, and geographic data through natural language in MCP-compatible environments.
      MIT

    TDQS

    A4.5/5.0

    Scored across 9 tools

    Disambiguation5/5

    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.

    Naming Consistency5/5

    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.

    Tool Count5/5

    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.

    Completeness4/5

    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.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues