43
/ 100
1 month ago
glama

vidlizer

vidlizer pulls frames out of any video, image, or PDF using ffmpeg, sends them to a vision LLM, and returns a flow array — one entry per scene. Each entry tells you what happened, who was on screen, what text was visible, and what changed. If the video has audio, it transcribes it with Apple MLX Whisper and merges the speech into each step.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/arizawan-vidlizer-g4uzwa)](https://m8ven.ai/mcp/arizawan-vidlizer-g4uzwa)
commit: 7e7619238ee9e1af8a372a9780fc85dc88f63d20
code hash: 26fed7625cd7a1e376c67e9ff69d6b71a085fc317154b73c8737d2a8c5d78916
verified: 6/10/2026, 11:20:39 AM
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