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MCP server for GPU monitoring: nvidia-smi, VRAM, utilization, temperature
About
MCP server for GPU monitoring: nvidia-smi, VRAM, utilization, temperature
Security Report
Valid MCP server (2 strong, 4 medium validity signals). 3 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
5 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mesutoezdil-mcp-gpu-server": {
"args": [
"mcp-gpu-server"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mcp-name: io.github.mesutoezdil/mcp-gpu-server
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.
What it does
Instead of running nvidia-smi manually, you ask your AI assistant and it calls these tools automatically:
gpu_info GPU name, driver version, CUDA version
gpu_utilization core utilization % and memory bandwidth %
gpu_vram total, used, free VRAM in MiB and usage %
gpu_temperature GPU core temperature in Celsius
gpu_stats everything above in one call
Example response from gpu_stats:
{
"count": 1,
"gpus": [{
"index": 0,
"name": "NVIDIA L40S",
"driver": "580.126.09",
"cuda": "13.0",
"temp_c": 29,
"gpu_pct": 0,
"mem_pct": 0,
"vram": {
"total_mib": 46068,
"used_mib": 610,
"free_mib": 45457,
"pct": 1.3
}
}]
}
How it works
Queries NVML (pynvml) directly when available. Falls back to nvidia-smi subprocess if NVML is not accessible. Returns clean JSON in both cases.
Install
pip install mcp-gpu-server
Connect to your MCP client
Add this to your MCP client config file:
{
"mcpServers": {
"gpu": {
"command": "mcp-gpu-server"
}
}
}
Run tests
python tests/test_gpu.py
Requirements
Python 3.10 or higher. NVIDIA GPU with drivers installed on the host machine.
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