MCP Video Analyzer

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作者：guimatheus92

MCP server that turns any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct URLs, local files — into transcripts, key frames, OCR text, and metadata for AI agents.

aiclaudeframesinstagramloommcpmcp-servermodel-context-protocolocrtiktoktranscripttranscriptionvideo-analysiswhisperyoutubeyt-dlp

安装

$npx skills add guimatheus92/mcp-video-analyzer

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工具（7 个）

detail

analysis depth: "brief" (metadata + truncated transcript, no frames), "standard" (default), "detailed" (dense sampling, more frames)

fields

array of specific fields to return, e.g. ["metadata", "transcript"]. Available: metadata, transcript, frames, comments, chapters, ocrResults, timeline, aiSummary

forceRefresh

bypass cache and re-analyze

maxFrames

(1-60) — cap on extracted frames. Default scales with video duration at standard detail (~12 for ≤30s up to 60 for >10min); fixed 60 at detailed, 0 at brief. An explicit value always wins

model

/ language / initialPrompt — per-call Whisper overrides for the transcription fallback (override WHISPERMODEL / WHISPERLANGUAGE / WHISPERPROMPT for this call only — pick a heavier model or a domain glossary for one hard clip without restarting the server)

skipFrames

skip frame extraction for transcript-only analysis

threshold

(0.0-1.0, default 0.1) — scene-change sensitivity