Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by KyaniteLabs · MCP Server · ★ 72
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-video safe to install? View the security audit →
mcp-video Guardrailed video editing MCP server for AI agents. Structured tools for FFmpeg video editing, cinematic prompt planning, media analysis, subtitles, audio, effects, Hyperframes video creation, local repurposing packages, and preflight validation that helps prevent silent bad media output. <p a
| Stars | 72 |
| Forks | 19 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71.1821789618382/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-10 |
| Created | 2026-03-21 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~17k |
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mcp-video is Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and CLI. Local, fast, free.. It is categorized as a MCP Server with 72 GitHub stars.
mcp-video is primarily written in Python. It covers topics such as agent-tools, ai-agents, ai-video.
You can find installation instructions and usage details in the mcp-video GitHub repository at github.com/KyaniteLabs/mcp-video. The project has 72 stars and 19 forks, indicating an active community.
mcp-video is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-video on Agent Skills Hub include premiere-pro-mcp, cutcli-cookbook, google-analytics-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: