short-video-maker: Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol

by gyoridavid · MCP Server · ★ 1.4k

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

How to install short-video-maker

docker run -it --rm --name short-video-maker -p 3123:3123 -e LOG_LEVEL=debug -e PEXELS_API_KEY= gyoridavid/short-video-maker:latest-tiny
docker run -it --rm --name short-video-maker -p 3123:3123 -e LOG_LEVEL=debug -e PEXELS_API_KEY= gyoridavid/short-video-maker:latest

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

Security audit verdict: SAFE · quality 77/100

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.

faceless-videoinstagraminstagram-reelsinstagram-reels-automationmcpmodel-context-protocolreelsremotionshortsshorts-automate

Quick Facts

Stars1,356
Forks430
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score77/100
Open Issues28
Last Updated2025-06-21
Created2025-04-14
Platformsmcp, node
Est. Tokens~29993k

About short-video-maker

📚 Join our Skool community for support, premium content and more! Be part of a growing community and help us create more content like this Description An open source automated video creation tool for generating short-form video content. Short Video Maker combines text-to-speech, automatic captions, background videos, and music to create engaging short videos from simple text inputs.

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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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