Skip to main content
Glama

Related Servers

Alternatives to AIMusicVideoGen

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to edit video locally through FFmpeg: probing media, validating and previewing JSON edit projects, rendering short-form clips with captions, reframing, transitions and ducked music. Also analyses existing videos and applies or saves reusable format templates, without cloud services or API keys.
      1
      Apache 2.0
    • F
      license
      Not graded
      quality
      A
      maintenance
      Watches video footage or URLs to analyze mood, pace, speech, and scene cuts, then returns a shortlist of license-safe BGM tracks with license and attribution text, a 12–20s hook window, and an ffmpeg ducking/mix spec. Runs locally via stdio or HTTP without API keys, with optional catalogs and brand kits for agents and video editors.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Analyzes video footage to rank license-safe, royalty-free or user-owned background music, returning a 12–20s hook window, beat/cut suggestions, and an ffmpeg ducking and mix spec for agents and editors. Every recommendation prints its license and attribution, and it never auto-recommends non-commercial tracks.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables local, evidence-led analysis of a master recording into inspectable stems, timing, beats, harmony, lyrics, MIDI and sonic evidence, then finds complete-bar loopable sections for Shorts and other short-form video. Results stay traceable through source hashes, manifests, JSON/TSV/NPZ artifacts and portable Sonic Visualiser sessions, and it can run as a CLI, Python library, web service, container or MCP plugin.
      304 PyPI
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Watches video footage to analyze mood, pace, and speech, then returns ranked license-safe BGM shortlists with license and attribution on every row, 12–20s hook windows, beat-snapped cut suggestions, and ffmpeg ducking/mix specs. It runs as an agent-native MCP server over stdio or streamable HTTP and works without API keys using a built-in royalty-free seed catalog.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to analyze video footage for mood, pace, speech, and scene cuts and return a license-safe royalty-free/CC BGM shortlist with a 12–20s hook window, beat-snapped cut suggestions, and an ffmpeg ducking/mix spec. Every recommendation prints its license and attribution, keeps non-commercial tracks out of auto-suggestions, and can export renderable specs for CapCut, Premiere, or DaVinci.
      -

    TDQS

    A3.9/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool maps to a distinct stage: analysis (analyze_song), planning (plan_music_video), spec lookup (video_specs), and two creation paths (make_spotify_canvas, create_ai_music_video). The only mild friction is between the two creation tools, since one actually renders a file while the other only returns instructions and a link, but the descriptions make the distinction clear.

    Naming Consistency4/5

    Four tools follow a clean verb_noun pattern (analyze_song, plan_music_video, make_spotify_canvas, create_ai_music_video). The lone outlier is video_specs, a bare noun, which is a minor deviation from an otherwise predictable convention.

    Tool Count5/5

    Five tools is well-scoped for a focused music-video pipeline, with each tool earning its place across analysis, planning, specs, and generation. Nothing feels redundant or padded.

    Completeness4/5

    The surface covers a reasonable end-to-end flow: analyze a song, plan cuts, look up platform specs, and produce a Spotify Canvas or kick off full AI video generation. The main gap is that full video rendering is delegated to an external web app rather than produced locally, leaving a partial dead end.