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social-mcp

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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
      29 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
      17 npm
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to search videos, retrieve transcripts and metadata, analyze channels, and access trending and engagement analytics for YouTube content.
      20 npm
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Brings social media analytics and content intelligence into any MCP-compatible AI agent, enabling analysis of your own videos, competitor research, and creator discovery via a hosted OAuth-authenticated server.
      10
      MIT

    TDQS

    A3.6/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a clearly distinct platform and resource/action: channel overview vs. recent uploads vs. search vs. video details vs. comments for YouTube, and account overview vs. recent media vs. hashtag media for Instagram. The descriptions further clarify boundaries (e.g., search for arbitrary queries, video details for specific IDs). No two tools appear to do the same thing.

    Naming Consistency5/5

    All tools follow a consistent platform_<object>_<descriptor> snake_case pattern: youtube_channel_overview, youtube_recent_uploads, instagram_account_overview, etc. The convention is predictable and readable throughout.

    Tool Count5/5

    With 8 tools covering two platforms, the set is well-scoped and each tool earns its place. It provides a focused analytics surface without unnecessary bulk or thinness.

    Completeness4/5

    Core analytical workflows are covered for both platforms: overview, recent content, search/details, and comments for YouTube; overview, recent media, and hashtag media for Instagram. Minor gaps exist, such as Instagram post comments or individual media details, but agents can work around them for most common tasks.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues