mcp-video: Guardrailed video editing MCP server for AI agents

by KyaniteLabs · MCP Server · ★ 72

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

How to install mcp-video

uvx --from mcp-video mcp-video doctor
pip install mcp-video

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

Security audit verdict: CAUTION · quality 71/100

Flagged: sudo usage. 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.

agent-toolsai-agentsai-videoclaudeclaude-codeclicursorffmpeghyperframesmcp

Quick Facts

Stars72
Forks19
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score71/100
Open Issues1
Last Updated2026-07-10
Created2026-03-21
Platformsclaude-code, cli, mcp, python
Est. Tokens~17k

About mcp-video

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

Compatible Skills

These tools work well together with mcp-video for enhanced workflows:

  • autoclip — semantic(0.59)+complementary+rare_topics+same_lang+shared_platform (69%)
  • claude-code-video-toolkit — semantic(0.50)+complementary+rare_topics+same_lang+shared_platform (67%)

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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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