com.losercoreplaylist/creative-tools
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AlicenseNot gradedqualityFmaintenanceEnables agents to create AI music videos and audio-reactive visuals from songs through MCP, including style discovery, music search, rendering, webhook registration, and media management.1MIT- FlicenseNot gradedqualityAmaintenanceEnables agents to ingest video, analyze mood, pace, speech, and scenes, and return ranked license-safe BGM matches with license and attribution details. It also provides 12–20s hook windows, beat-synced cut suggestions, and ffmpeg ducking or mix specs for editing workflows.-
- FlicenseNot gradedqualityBmaintenanceEnables agents and editors to analyze video footage or URLs, recommend license-safe BGM with license/attribution details, and generate hook windows plus ffmpeg ducking and mix specs for editing workflows.-
- FlicenseNot gradedqualityAmaintenanceEnables agents to analyze video footage and receive license-safe BGM shortlists, hook windows, beat-aligned cut suggestions, and ready-to-run ffmpeg ducking specs.-
- FlicenseNot gradedqualityAmaintenanceEnables agents to analyze video footage for mood, pace, speech, and scene cuts, then return a ranked shortlist of license-safe royalty-free or Creative Commons tracks with the license printed on every row. Also supplies a 12–20s hook window, beat-aligned cut hints, and an ffmpeg ducking spec for mixing.-
- FlicenseNot gradedqualityAmaintenanceEnables agents to ingest video files or URLs, analyze scene, mood, speech and pacing, and receive license-safe BGM shortlists with printed license and attribution. It also returns 12–20s hook windows, beat-snapped cut suggestions, and ready-to-run ffmpeg ducking and mix specs.-
TDQS
Scored across 3 tools
Each tool maps to a distinct step: searching the starter track list, fetching a scene-prompt template, and assembling a JSON project draft. There is mild thematic overlap between search_playlist and prepare_video_project since both concern songs, but the descriptions make clear that one returns metadata and the other builds a file draft.
All three tools follow a consistent snake_case verb_noun convention (search_playlist, get_creation_template, prepare_video_project). Verb choices accurately reflect each action's read-versus-prepare semantics.
Three tools is minimal but matches a narrowly scoped creative-asset helper with a clear three-step pipeline. It is not thin in the problematic sense, since each tool covers a genuinely different stage of the workflow.
The surface is read-and-prepare only: there is no way to retrieve, list, or revise a previously prepared project draft, and no tool exposes the linked workspace or template list. Rendering, audio fetching, and lyric lookup are explicitly out of scope, so the remaining gaps are structural rather than broken.