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7oMB2006

Catalyst

by 7oMB2006
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TypeScript
Hybrid

Related Servers

Alternatives to Catalyst

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    Related Servers

    • youtube-research-mcp

      lee-s-dev
      A
      license
      C
      quality
      D
      maintenance
      Enables AI assistants to research YouTube videos by collecting captions, comments, and channel information for analysis and comparison.
      10
      26 PyPI
      9
      MIT

    • VidLens

      thatsrajan
      A
      license
      C
      quality
      B
      maintenance
      Enables AI agents to search, analyze, and extract insights from YouTube videos including transcripts, visual frames, and benchmarks without requiring API keys. Supports semantic search across playlists, sentiment analysis, and visual content indexing with automatic fallback chains for reliable access.
      41
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    • bilibili-info-gathering

      DavidLearning1023
      A
      license
      A
      quality
      A
      maintenance
      Enables agents to gather topic-level evidence from Bilibili through search, comments, transcripts, danmaku, images, frames, audio transcription, and reusable source/video registries. Supports a reproducible workflow for dual-axis source grading, surfacing conflicts, and declaring retrieval gaps.
      14
      2
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    • yt-subtitles-mcp

      EgorYolkin
      F
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to fetch YouTube video metadata, chapters, and timestamped transcripts (including paginated and language-specific caption retrieval) so they can produce summaries, study notes, comparisons, and source-referenced answers. The returned transcript evidence also carries explicit coverage status, letting the assistant know when a transcript is partial or unavailable.
      4
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    • Rustle

      vibeslop
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to read videos from YouTube links, web pages, media URLs, or local files by returning timestamped transcripts, labelled frame contact sheets, and lossless audio or spectrograms. Also searches YouTube, channels, pages, and folders to find videos worth reading.
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation3/5

    The tools are related but have overlapping boundaries: analyze_video_url and analyze_bilibili_video both handle public video URLs, especially Bilibili, while analyze_video and inspect_video_window both process local videos. Descriptions clarify differences like time windows and comment sampling, but an agent could still hesitate between the URL-based tools.

    Naming Consistency4/5

    All names use snake_case and mostly follow an analyze_<target> pattern, but inspect_video_window breaks the verb pattern and analyze_bilibili_video versus analyze_video_url orders the target inconsistently. The deviations are minor and still readable.

    Tool Count4/5

    Four tools is a reasonable scope for a video-analysis server, covering local video, local time-window clips, and public URL analysis. The count is appropriate, though the Bilibili-specific tool overlaps with the generic URL tool enough to question whether both earn their place.

    Completeness4/5

    The surface covers local and remote video analysis, time-window inspection, and Bilibili metadata/comment context, which is a fairly complete lifecycle for visual research. There are minor gaps around broader platform-specific handling and non-visual/audio analysis, but core workflows are covered.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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