io.github.js713-lab/sonicmatch-mcp
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- FlicenseNot gradedqualityAmaintenanceEnables agents to ingest video or URLs, analyze mood, pace, speech, and scene cuts, and return ranked license-safe BGM recommendations with hook windows, beat/cut suggestions, and ffmpeg ducking or mix specs.-
- FlicenseNot gradedqualityAmaintenanceEnables agents to ingest video footage or public URLs, analyze scenes, mood, pace, and speech, then return ranked license-safe BGM recommendations with hook windows and ffmpeg ducking/mix specs.-
- FlicenseNot gradedqualityAmaintenanceEnables agents to ingest video or public URLs, analyze footage for mood, energy, speech, and scenes, and return license-safe BGM recommendations with hook windows, cut suggestions, and ffmpeg ducking/mix specs.-
- FlicenseNot gradedqualityAmaintenanceEnables agents to ingest video files or URLs, analyze footage for mood, pace, speech, scenes, and hook timing, then return license-safe BGM recommendations, beat-aligned cut suggestions, and ffmpeg ducking/mix specs.-
- FlicenseNot gradedqualityAmaintenanceEnables agents to analyze video footage or URLs and return ranked, license-safe BGM matches with hook windows, beat/cut hints, and ffmpeg ducking or mix specs. It also supports batch mood clustering, brand kits, preview beds, and attribution-aware exports without shipping raw video payloads.-
- FlicenseNot gradedqualityAmaintenanceEnables agents to ingest local or hosted video clips, analyze footage mood, energy, speech, and scene cuts, and receive license-safe BGM shortlists with per-track licensing, a 12–20s hook window, and an ffmpeg ducking/mix spec. It also supports beat-snapped cut suggestions, brand kits, batch mood clustering, and mix previews or rendered previews without shipping raw video bytes.-
TDQS
Scored across 12 tools
Most tools have clearly distinct roles in the pipeline (ingest, analyze, recommend, search, render, export, cuts, bed generation). However, preview_mix and export_mix_spec overlap significantly since export_mix_spec with render=true is explicitly 'same as preview_mix', and recommend_bgm vs search_music both perform music lookup with some boundary overlap.
All tools follow the snake_case verb_noun pattern (ingest_video, recommend_bgm, suggest_cuts, save_brand_kit, etc.), except for the noun-only 'status'. That minor inconsistency is the only deviation, making the set predictable.
12 tools map directly to a coherent music-video workflow: video ingest, analysis, BGM recommendation/search, track details, mixing, export, cutting, generated beds, brand kit, and batch analysis. Every tool has a clear purpose and the count fits squarely in the well-scoped range.
The toolkit covers the essential lifecycle from video input to analysis, music selection, mix preview, specification export, and batch operation. Minor gaps exist like management of saved assets (e.g., updating brand kits or deleting generated beds), but the core workflow has no dead ends and agents can complete a full pipeline.