vidseeds-local-video · git:20260704.a8cc11f · 2026-07-04 · sha256 1e0496ebe0a02cf8
vidseeds-local-video git:20260704.a8cc11fA
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--- name: vidseeds-local-video description: Use when the user's video is on disk - VidSeeds MCP probe, frame/clip extraction, ffmpeg recipes, precision trim, and midroll analysis. Hosted tools return commands/recipes to run locally; media stays on the user's machine. license: MIT --- # Local video media (MCP) VidSeeds.ai follows **client-first** media: the hosted MCP server does not read files from the user's computer. Tools return **recipes** (ffmpeg/ffprobe commands) or accept **base64 frames** the agent extracted locally. ## Probe a file - `vidseeds_probe_local_video` - duration, resolution, codecs; use before trim or thumbnail frame picks. ## Frames and clips | Goal | Tool | | --------------------------- | ---------------------------------- | | Still frames for thumbnails | `vidseeds_extract_video_frames` | | Short clip for context | `vidseeds_extract_video_clip` | | Generic transcode recipe | `vidseeds_transcode_format_recipe` | | Media helper commands | `vidseeds_get_local_media_recipe` | Run returned shell commands on the **user's machine** (requires ffmpeg/ffprobe installed). Pass results back into thumbnail tools as `frames` on `vidseeds_generate_thumbnail` when needed. ## Precision trim 1. `vidseeds_analyze_precision_trim` - suggested cut points, segment catalog, seed cost preview. 2. `vidseeds_plan_precision_trim` - AI edit plan (CritiquePlan) with genre-aware processing. 3. `vidseeds_execute_precision_trim` - export recipe/commands for local ffmpeg. ### V3 Genre-Aware Processing (2026-06-27) Precision Trim V3 adds **genre classification** + **soundscape analysis** + **motion profile** + **hook detection** + **semantic boundaries** as parallel client-side signals. These are passed as optional metadata in `vidseeds_analyze_precision_trim` / `vidseeds_plan_precision_trim` inputs: - `detectedGenre` - overrides automatic genre detection (speech_driven, action_dynamic, ambient_relax, visual_primary, mixed_narrative, tutorial) - `soundscape` - spectral classification from PCM (silence/speech/music/ambient/noise) - `motionProfile` - frame-by-frame pixel diff analysis (static/slow/action/scene_change) **How it affects plans:** - **ambient_relax**: high silence tolerance (15s+), preserves zero-word scenes, < 20% cut ratio - **action_dynamic**: aggressive pause trimming (500ms+), up to 40% cut ratio - **speech_driven**: cut at semantic boundaries, moderate trimming - **visual_primary**: preserves scenes without speech, cut only on true silence - **mixed_narrative**: uses all signals - only cuts when multiple agree - **tutorial**: precision trimming, no speed around instructions ## Midroll placement - `vidseeds_analyze_midroll_opportunities` - suggested mid-roll times from transcript/context (analysis only; user edits in their editor). ## Thumbnails from local file Prefer the **vidseeds-local** stdio MCP tool `vidseeds_generate_thumbnail_from_video` when the whole pipeline should run on-disk (see `vidseeds-thumbnails`). ## YouTube-hosted source (not local path) - `vidseeds_get_youtube_video_transcript`, `vidseeds_get_youtube_video_captions` - text from YouTube without downloading video to the server. ## Do not - Expect hosted tools to accept arbitrary filesystem paths for upload/processing. - Re-run probe/extract in a loop - cache probe results for the session.