69
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17 days ago
glama

vram-mcp

Enables AI agents to inspect and free NVIDIA GPU VRAM by managing Ollama models, helping make room for loading new models.

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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.
configOLLAMA_MODELS
configOLLAMA_BASE_URLOllama running locally (or reachable via ).
// 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 5 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/sushihex-vram-mcp-ugy9cm)](https://m8ven.ai/mcp/sushihex-vram-mcp-ugy9cm)
commit: f51a7112fdfd608b126a66778ca4b1a63a63f52c
code hash: f883d0c9deba54a9f68ea85020da9788c8729decbc3ab7036e7c7aa2f86efab8
verified: 7/14/2026, 8:33:27 AM
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