Sonicmatch

Video-native MCP server for license-safe BGM. Watches the footage — not the script — and returns a shortlist, a 12–20s hook, and an ffmpeg ducking spec.

Package / CLI: sonicmatch-mcp. A Model Context Protocol server for Claude Desktop, Cursor, and other MCP clients. Drop an Instagram Reel, YouTube Short, or TikTok-style clip. Get royalty-free / Creative Commons matches with the license printed on every row.

Video-to-BGM already exists. The wedge is not “I also match music”:

• it watches the footage, not the script
• it returns a hook window + ffmpeg ducking spec
• it is agent-native
• it prints the license instead of lying

Catalog quality will kill or save this. More tools will not.

Video or URL in
  → scene / mood / pace / speech analysis
  → license-safe BGM shortlist
  + beat/cut hints
  + optional mix preview

Do not treat this as “script in → YouTube Music search out.” That already exists (mcp-bgm-recommender). Sonicmatch watches the video.

North star: ingest_video → analyze_video_music → recommend_bgm → preview_mix → export_mix_spec

License warning (read this)

• The code is MIT.
• Every track has its own license. It is printed on every recommendation.
• Nothing here is an official Instagram sticker, TikTok Commercial Music Library track, or YouTube Audio Library API result.
• Do not recommend commercial pop unless the adapter is explicitly a user-owned licensed library.
• CC-BY still needs attribution. CC-BY-NC is not ok for ads / shops. Non-commercial tracks are never auto-recommended.
• For ads / shops, wire a user-owned Artlist / Epidemic JSON (examples/user_library.example.json). Do not scrape those sites.
• Content ID can still hit you if you point at the wrong source. A CC label is not a waiver.

Demo

I dropped ./clip.mp4. Analyze it for an Instagram Reel and recommend 5 instrumental BGMs. Then mix the top pick with ducking and give me the ffmpeg command.

That prompt is the product. Install below, wire Claude Desktop or Cursor, paste it.

Quick start

Requires Python 3.10+ and ffmpeg / ffprobe on PATH. yt-dlp is optional and off by default (SONICMATCH_ALLOW_YTDLP=0) because platform extractors break and may violate ToS. Prefer a local file.

pip install git+https://github.com/js713-lab/sonic-match-mcp.git
sonicmatch-mcp            # or: python3 -m sonicmatch

With uv, no clone:

uvx --from git+https://github.com/js713-lab/sonic-match-mcp.git sonicmatch-mcp

From a clone (editable + tests):

git clone https://github.com/js713-lab/sonic-match-mcp.git
cd sonic-match-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
cp .env.example .env   # optional keys

# stdio (Claude Desktop / Cursor)
sonicmatch-mcp

# streamable HTTP (web editors)
sonicmatch-mcp --http --port 8765

# same clone, uv
uv venv && uv pip install -e ".[dev]"
uv run sonicmatch-mcp

v0.2 works offline-ish with a 20-track seed catalog aimed at Reel editors (cafe, product, talking-head, travel, food, fashion, event). Gemini, Jamendo, and Freesound are optional and degrade with a note in the tool response. Seed rows have no hosted audio on purpose — preview_mix synthesizes a demo bed. For real ads, point SONICMATCH_LIBRARY_PATH / EPIDEMIC_LIBRARY_PATH / ARTLIST_LIBRARY_PATH at JSON you already licensed.

pytest   # generates tiny color mp4s with ffmpeg

Not on PyPI yet. Install from git.

Features

• Watches the picture. Gemini video understanding when GEMINI_API_KEY is set; otherwise local ffmpeg / audio heuristics (optional Whisper, PySceneDetect, librosa).
• License on every row. CC / royalty-free / user-owned library. Non-commercial tracks are never auto-recommended. Generated beds stay out of auto recs.
• Editor-shaped output. 12–20s hook in/out, speech ducking, ffmpeg recipe, mix spec for CapCut / Premiere / DaVinci / your agent.
• Agent-native MCP. stdio for Claude Desktop and Cursor; streamable HTTP for web editors. Never ships raw multi-MB video through the payload — you get an asset_id.
• Works without API keys. 20-track seed catalog for Reels. Optional Jamendo, Freesound, and user-owned Artlist / Epidemic JSON.
• Cuts on the beat. suggest_cuts snaps scene cuts to a BPM grid and returns EDL-ish intro / peak / outro.
• Brand lock. Save BPM / mood / no-vocals kits and pass brand_kit=… into recommend_bgm.
• Series, not one-offs. analyze_batch (max 20) clusters mood and returns one shared mini-playlist.
• Honest about closed graphs. No fake “trending audio,” official IG stickers, or Content-ID-safe stamps. yt-dlp platform ingest is opt-in.

Tools

Also ships a prompt template: “Score this video like an IG music sticker.”

Product rules (Instagram-like, not Instagram)

• Prefer instrumental when speech_coverage > 0.25
• Recommend a hook window, not the whole song
• Show why (cuts at 0.8s average, 112 BPM, warm gold hour)
• Always return license + attribution text
• 3–7 tracks, not 40
• User can override mood / genre / no-lyrics / platform / energy
• Never claim “cleared for Instagram official sticker” unless it actually is

Claude Desktop

claude_desktop_config.json — after a clone + pip install -e .:

{
  "mcpServers": {
    "sonicmatch": {
      "command": "/absolute/path/to/sonic-match-mcp/.venv/bin/sonicmatch-mcp",
      "args": [],
      "env": {
        "GEMINI_API_KEY": "",
        "JAMENDO_CLIENT_ID": "",
        "FREESOUND_API_KEY": ""
      }
    }
  }
}

After pip install git+https://github.com/js713-lab/sonic-match-mcp.git, command can be sonicmatch-mcp if that binary is on PATH.

Cursor

.cursor/mcp.json (project) or ~/.cursor/mcp.json. From git, no clone:

{
  "mcpServers": {
    "sonicmatch": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/js713-lab/sonic-match-mcp.git",
        "sonicmatch-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "",
        "JAMENDO_CLIENT_ID": "",
        "FREESOUND_API_KEY": ""
      }
    }
  }
}

From a clone: "command": "uv", "args": ["--directory", "/absolute/path/to/sonic-match-mcp", "run", "sonicmatch-mcp"]. After pip install, "command": "python3", "args": ["-m", "sonicmatch"] works if that interpreter has the package.

Copy-paste configs: examples/claude_desktop.mcp.json, examples/cursor.mcp.json. User-owned Epidemic/Artlist JSON shape: examples/user_library.example.json. Registry metadata: server.json.

HTTP editors can point at http://127.0.0.1:8765/mcp after sonicmatch-mcp --http.

--http has no authentication. Keep it on loopback. The Docker image binds 0.0.0.0 so the container port works — do not publish that port to the internet. See SECURITY.md.

Architecture

flowchart TB
  subgraph mcp [MCP Server - FastMCP / Python - stdio + HTTP]
    tools[ingest_video / analyze_video_music / recommend_bgm / preview_mix / export_mix_spec / suggest_cuts]
  end
  tools --> ingest
  tools --> brain
  tools --> hub
  tools --> mixer
  ingest[Ingestor<br/>yt-dlp · ffmpeg · ffprobe · URL/file]
  brain[Video Brain<br/>Gemini / local VL · librosa · PySceneDetect · Whisper]
  hub[Music Hub<br/>seed CC · Jamendo · Freesound · user library · generate]
  mixer[Mixer<br/>ffmpeg · ducking · loop/trim · EDL cuts]
  hub --> index[Track index<br/>tags + license + embeddings · SQLite · optional LanceDB]

Hard rule: never send raw multi-MB video through the MCP payload. Store locally, pass an asset_id. Loopback, file://, and private IPs are rejected (SSRF).

VideoSonic profile