mcp-video-analyzer: MCP server that turns any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct URLs, local files

by guimatheus92 · MCP Server · ★ 102

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-video-analyzer

claude mcp add video-analyzer -- npx mcp-video-analyzer@latest

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 73/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiclaudeframesinstagramloommcpmcp-servermodel-context-protocolocrtiktok

Quick Facts

Stars102
Forks22
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score73/100
Open Issues3
Last Updated2026-10-25
Created2026-03-09
Platformsclaude-code, mcp, node
Est. Tokens~19k

About mcp-video-analyzer

mcp-video-analyzer Featured in awesome-mcp-servers. MCP server for video analysis — extracts transcripts, key frames, and metadata from video URLs and local video files. Supports Loom, direct video URLs (.mp4, .mov, .mkv, .webm, and other common formats), and absolute paths to local video files. No existing video MCP combines transcripts + visual frames + metadata in one tool. This one does.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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