{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "js713-lab-sonic-match-mcp--match-one-music-bed-to-a-clip-series",
 "repo": "js713-lab/sonic-match-mcp",
 "repo_url": "https://github.com/js713-lab/sonic-match-mcp",
 "repo_slug": "js713-lab-sonic-match-mcp",
 "title": "Pick one shared playlist for a batch of clips",
 "page_title": "How to pick one shared playlist for a batch of clips with Sonic Match MCP",
 "summary": "Send up to 20 clips to analyze_batch and get a mood cluster plus one mini-playlist for the series.",
 "who": "A content producer making a series of related clips, such as a product or cafe campaign, who wants the same sound across all of them.",
 "problem": "Choosing a separate track for each clip makes a series sound inconsistent and takes a lot of manual comparison.",
 "outcome": "A mood cluster for the batch and one shared mini-playlist that fits the whole series.",
 "steps": [
  "Install the server with `pip install git+https://github.com/js713-lab/sonic-match-mcp.git`.",
  "Start it with `sonicmatch-mcp`, or run the HTTP mode with `sonicmatch-mcp --http --port 8765` for a web editor.",
  "Gather up to 20 clip paths or URLs for the series.",
  "Ask the agent to call analyze_batch on those clips and return the mood cluster and shared mini-playlist."
 ],
 "agent_prompt": "Using the sonicmatch MCP server from js713-lab/sonic-match-mcp, run analyze_batch on these clips: <list of up to 20 clip paths>. Return the mood cluster and the shared mini-playlist. Verify that the batch contains no more than 20 clips and that each playlist track lists its license.",
 "agents": [
  "cursor"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "analyze_batch accepts at most 20 clips per call, so larger campaigns need to be split into several batches.",
 "category": "Content",
 "tags": [
  "Content"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.10 or newer",
  "ffmpeg and ffprobe on PATH",
  "An MCP client such as Cursor (Claude Desktop is also described in the README)",
  "A local video file or a public URL to the clip",
  "Optional: GEMINI_API_KEY, JAMENDO_CLIENT_ID, FREESOUND_API_KEY for extra analysis and catalogs"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/js713-lab-sonic-match-mcp/match-one-music-bed-to-a-clip-series/",
 "md": "https://dedupedai.com/use-cases/js713-lab-sonic-match-mcp/match-one-music-bed-to-a-clip-series/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/js713-lab-sonic-match-mcp--match-one-music-bed-to-a-clip-series.json",
 "api_version": "v1"
}