71
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10 days ago
glama

llm-video-mcp

Enables coding agents to watch and analyze videos by extracting scene-aware frames, transcribing speech, and generating shot timelines, all constrained by a token budget to fit LLM context limits.

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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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configLLM_VIDEO_MCP_CACHE
// 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 4 concrete improvements 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/shkyyy18-llm-video-mcp-1my3f0)](https://m8ven.ai/mcp/shkyyy18-llm-video-mcp-1my3f0)
commit: 9d52e00f894cab36a3dcf26059c0f60bf593e2d8
code hash: e644c123350aa8032a824093ea1d40709195eac8bf5314f2b5751361800baf42
verified: 7/21/2026, 8:47:15 AM
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