io.github.mesutoezdil/mcp-gpu-server

MCPcommunity
v0.1.3io.github.mesutoezdilUnknownUpdated 5mo agoGitHub

MCP server for GPU monitoring: nvidia-smi, VRAM, utilization, temperature

mcp-name: io.github.mesutoezdil/mcp-gpu-server An MCP server that exposes NVIDIA GPU metrics as tools. Once connected, any MCP-compatible client can query your GPU status in real time directly from a conversation. Instead of running nvidia-smi manually, you ask your AI assistant and it calls these tools automatically: gpuinfo GPU name, driver version, CUDA version gpuutilization core utilization…

Works in
ClaudeCursorCopilotGemini

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1Forks
5mo agoLast update
Package
Authorio.github.mesutoezdil
LicenseUnknown
Version0.1.3
Sourcemcp-registry
GitHubmesutoezdil/mcp-gpu-server
SBOMCycloneDX 1.6 ↓
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/20
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/5
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—npm Trusted Publishing (Sigstore)+0/5
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—npm maintainer match+0/5
→ Earned once your identity is verified above and that login is an npm maintainer of this package
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.3 · 3mo agoHow well does this scan work?
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

No tool declarations found in the source3mo ago

Forge read 0 source files from the published package tarball and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.

About

mcp-name: io.github.mesutoezdil/mcp-gpu-server An MCP server that exposes NVIDIA GPU metrics as tools. Once connected, any MCP-compatible client can query your GPU status in real time directly from a conversation. Instead of running nvidia-smi manually, you ask your AI assistant and it calls these tools automatically: gpuinfo GPU name, driver version, CUDA version gpuutilization core utilization % and memory bandwidth % gpuvram total, used, free VRAM in MiB and usage % gputemperature GPU core…

Keywords
mcp
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No dependency coverage

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