Enables MCP clients to score the retention quality of the first three seconds of shortform video hooks using audio/video telemetry and transcript input, returning deterministic JSON results for viral hook optimization.
Enables AI agents and MCP clients to deterministically score creator short-video hooks for 3-second retention and scroll-stop effectiveness, returning structured JSON telemetry. It runs as a zero-dependency Python MCP server for seamless integration with Claude Desktop, Cursor, and Windsurf.
Viral-content intelligence for AI agents — 7 read-only MCP tools for TikTok/YouTube hook scoring, virality prediction, trend analysis, and viral template search, with evidence-layer scoring.
Enables turning any video into scored, captioned, ready-to-post vertical clips directly from your MCP client, with capabilities to download finished MP4s, schedule posts, and discover trending content.
Enables analyzing audio silence in videos to calculate jumpcut cadences and pacing, returning precise cut-lists and telemetry for shortform video editing.
Enables audio silence detection and jumpcut cadence/pacing analysis for shortform video editing, producing precise cut-lists and telemetry through the Model Context Protocol.
