sonic-match-mcp
MCP server that watches video footage and returns license-safe BGM matches, hook windows, and ffmpeg ducking specs for agents.
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Overview
Sonicmatch analyzes local or publicly accessible video footage for mood, pace, speech, and scene cuts, then returns ranked background music recommendations with track licenses. It can identify 12–20 second hook windows, provide beat and cut hints, generate ffmpeg ducking specifications, and optionally preview a mix.
Deep Analysis
It analyzes the footage rather than only a script and returns license-labeled tracks, hook windows, and executable ffmpeg ducking guidance.
⚡ Capabilities
- • Ingests local video files or public URLs
- • Analyzes mood, energy, pace, speech versus silence, and scene cuts
- • Returns ranked royalty-free or Creative Commons BGM recommendations
- • Prints each track's license with its recommendation
- • Identifies 12–20 second hook windows
- • Generates beat and cut hints, mix specifications, and ffmpeg commands
- • Supports optional mix previews
🔗 Integrations
✓ Best For
- ✓ AI agents selecting background music for Instagram Reels, YouTube Shorts, or TikTok-style clips
- ✓ Creators needing footage-aware music recommendations and ducking specifications
- ✓ Workflows requiring visible license information for every recommended track
✗ Not Ideal For
- ✗ Accessing official Instagram, TikTok, Spotify, or YouTube music libraries
- ✗ Finding platform trending-audio data
- ✗ Automatically publishing videos to Instagram
- ✗ Recommending unlicensed commercial pop music
⚠ Known Limitations
- ⚠ Track licenses vary and must be reviewed individually
- ⚠ CC-BY tracks require attribution, while CC-BY-NC tracks are unsuitable for ads or shops
- ⚠ Creative Commons labeling does not eliminate Content ID risk
- ⚠ Catalog quality determines recommendation quality
- ⚠ yt-dlp support is optional and disabled by default
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