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Alternatives to mcp-video-frames

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to watch YouTube videos by extracting frames at scene changes and visual references, pairing each frame with the exact words spoken at that timestamp. Provides dense frame-transcript interleaving for any model.
      31 npm
      5
      MIT
    • A
      license
      Not graded
      quality
      B
      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
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables Claude to analyze videos by combining local ffmpeg/OpenCV measurements (exact cut timings, frame extraction, second-by-second camera motion, flashes and audio hits) with Gemini's reading of video in motion and audio. Users can break down reference videos shot by shot, compare a reference against their own edit for concrete fixes, and inspect any video segment before publishing.
      1
      MIT

    TDQS

    A4.3/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: one extracts frames from videos, the other retrieves metadata. No overlap in functionality; each addresses a separate need.

    Naming Consistency4/5

    Both names follow a verb_noun pattern: 'view_frames' and 'video_info'. The verbs differ ('view' vs 'video') but the structure is consistent. Minor deviation in verb choice, but pattern is clear.

    Tool Count4/5

    With only 2 tools, the set is minimal but each tool is substantial and well-scoped, covering the core functions of frame extraction and metadata retrieval. Slightly thin for a full video analysis workflow, but reasonable for a focused server.

    Completeness3/5

    The set covers the primary operations (extract frames, get info) but lacks additional common video operations such as transcoding, clipping, or audio extraction. The domain is video analysis, and while the two tools address key needs, there are notable gaps that agents might encounter.

    Maintenance

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