73
/ 100
15 hours ago
glama

RealityScan MCP

Enables AI agents to control the RealityScan photogrammetry pipeline (align, mesh, texture, export) either headless or through a visible GUI, and includes a 360° video to perspective frames converter for pre-processing equirectangular and YouTube EAC content.

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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.
configREALITYSCAN_EXE실행파일 자동탐지: 환경변수 /REALITYSCAN_HOME →
configREALITYSCAN_HOME실행파일 자동탐지: 환경변수 REALITYSCAN_EXE/ →
configFFMPEG_EXE환경변수 로 지정. (Python 추가 의존성은 없음 — 표준 라이브러리만.)
// 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 3 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/fkrn75-realityscan-mcp-17kmz8)](https://m8ven.ai/mcp/fkrn75-realityscan-mcp-17kmz8)
commit: 1e9c2dfd0247c1220e050ac433f09917b586a5ab
code hash: 9affc5fe9feab87c080066b277317b0c4e5dd7dbab398e11e3d179502e071d79
verified: 7/7/2026, 9:58:34 AM
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