MCP Video Analyzer
未认领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.
01 / 选择客户端
03 / 添加配置
claude mcp add --transport stdio 'mcp-video-analyzer' -- 'npx' '-y' 'skills' 'add' 'guimatheus92/mcp-video-analyzer'04 / 在客户端中确认
打开客户端的 MCP 设置，确认服务器已连接并列出工具。复制配置不代表连接成功。
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浏览完整目录安全概况
已认领和已认证的服务器每周接受一次静态扫描，显示代码能触及的范围（外部服务、环境变量、shell 命令、代理配置目录）以及带有已知公告的依赖。认领此列表即可获得。 安全概况的工作原理
7 个工具中显示 7 个
文档中列出的工具 (7)
内容来自项目文档。服务器握手不会验证每个工具的说明或行为。
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