Skip to main content
Glama

Related Servers

Alternatives to video-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to index videos locally once and then browse a compact text map of shots, transcript, silences and visual embeddings, so they can query moments, cut dead air, apply edit scripts, render with ffmpeg and run QA checks without spending tokens on frames. Pixels are only fetched when the agent explicitly peeks at labeled contact sheets.
      9
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Self-hosted video intelligence pipeline that turns video into structured, citable, queryable JSON scene graphs, enabling AI assistants to analyze and search across video libraries without re-processing.
      15 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to edit talking-head videos locally by transcribing footage, applying validated edit operations like cutting fillers and silences, adding zooms, captions, looks and branding, and checking results with rendered previews. Agents can also read pinned editor feedback notes with annotated frames, resolve them, and export MP4, SRT or OTIO while the user watches changes live.
      1
      MIT

    TDQS

    A4/5.0

    Scored across 9 tools

    Disambiguation4/5

    Each tool has a clear primary role: analyze for full pipeline, transcribe for speech, ocr for text, frames for visuals, info for metadata, search for locating moments, and deps for setup. The only overlap is video_analyze, which combines several primitives, but its description explicitly directs when to use it, so agents should not be misled.

    Naming Consistency4/5

    All tools share the video_ prefix and use lowercase, underscore-separated action-oriented names such as video_extract_frames and video_get_frame_burst. The main deviation is video_info, which uses a noun rather than a verb, but the pattern is otherwise consistent.

    Tool Count5/5

    Nine tools is well-scoped for a video-processing MCP server. Each tool covers a distinct part of the video-understanding workflow, from dependency checking and metadata probing to transcription, OCR, frame extraction, and combined analysis, without unnecessary bloat.

    Completeness5/5

    The surface covers all major video analysis needs: metadata, transcripts, searching, frame extraction, OCR, and a one-shot summary. There are no obvious dead ends—dependencies are checked, and tools are designed to feed into each other (e.g., transcript timestamps to video_get_frame).

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues