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Alternatives to mcp-ffmpeg

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    • A
      license
      B
      quality
      D
      maintenance
      Provides powerful video and audio editing capabilities through FFmpeg, enabling AI assistants to perform professional-grade operations including format conversion, trimming, overlays, transitions, and advanced audio processing.
      27
      84
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that provides 17 FFmpeg-based tools for video and audio processing, including conversion, compression, and editing. It enables AI assistants to perform complex media tasks like extracting audio, adding watermarks, and merging videos using natural language.
      142 npm
      2
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    • A
      license
      A
      quality
      B
      maintenance
      Enables LLMs to perform FFmpeg operations like clipping, merging, extracting audio, adding subtitles, and transcoding videos via a set of tools exposed as an MCP server.
      5
      9
      MIT

    TDQS

    A3.8/5.0

    Scored across 27 tools

    Disambiguation3/5

    Several tools have overlapping purposes, such as the single-property setters (set_audio_sample_rate, set_audio_bitrate, etc.) versus the all-in-one converters (convert_audio_properties, convert_video_properties). The descriptions help clarify usage, but an agent could easily select the wrong tool when simple format conversion is needed because both convert_audio_format and convert_audio_properties perform that task.

    Naming Consistency4/5

    Tool names mostly follow a verb_noun pattern (set_*, convert_*, add_*), with clear prefixes for different actions. There are minor deviations like 'change_aspect_ratio' and 'change_video_speed' instead of 'set_*', and 'health_check' does not fit the pattern, but overall the naming is predictable and readable.

    Tool Count3/5

    At 27 tools, the server is on the higher end, but the breadth of FFmpeg operations justifies many of them. However, the count is inflated by redundant single-property setters that could be consolidated into the existing property conversion tools, making the set feel heavier than necessary.

    Completeness4/5

    The server covers a wide range of common media operations: audio/video format conversion, property adjustments, trimming, speed changes, overlays, subtitles, concatenation, and silence removal. Minor gaps exist, such as video rotation or cropping to specific dimensions, but the core workflows are well represented.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues