Mcp Video Vision — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Mcp Video Vision (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
MCP server em TypeScript que dá ao Claude a capacidade de "ver" vídeos — extraindo frames e detectando cenas — para uso como ferramenta de edição assistida por IA.
Registrado no Claude Code via transporte stdio, expõe ferramentas que permitem ao assistente analisar vídeos sem precisar scrubbar a timeline manualmente.
| Tool | Descrição |
|---|---|
video_info | Metadata do vídeo (duração, fps, resolução, codec) via ffprobe |
extract_frames | Extrai frames por fps fixo ou automático, com controle de resolução e formato |
detect_scenes | Detecta cortes de cena via ffmpeg com threshold ajustável |
frame_at | Extrai 1 frame de um timestamp exato |
decupar | Tool principal: detecta cenas, mescla cortes curtos, extrai 1 frame representativo por plano e devolve log navegável com timecodes |
git clone https://github.com/danusiojr/mcp-video-vision
cd mcp-video-vision
npm install
npm run buildAdicione ao seu claude_desktop_config.json:
{
"mcpServers": {
"video-vision": {
"command": "node",
"args": ["/caminho/para/mcp-video-vision/dist/index.js"]
}
}
}Com o server registrado, use no Claude Code:
TypeScript · @modelcontextprotocol/sdk · ffmpeg/ffprobe · Node.js
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.