GPU Server runs on your own machine — the client starts it, so there is no endpoint to ping. 79 installs a week from pypi. Last commit 3 May 2026.
MCP server for GPU monitoring: nvidia-smi, VRAM, utilization, temperature
We read the source, 18 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
rows = subprocess.run(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add mcp-gpu-server -- uvx mcp-gpu-server
{
"mcpServers": {
"mcp-gpu-server": {
"args": [
"mcp-gpu-server"
],
"command": "uvx"
}
}
}
[mcp_servers.mcp-gpu-server]
command = "uvx"
args = ["mcp-gpu-server"]
{
"mcpServers": {
"mcp-gpu-server": {
"args": [
"mcp-gpu-server"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"mcp-gpu-server": {
"args": [
"mcp-gpu-server"
],
"command": "uvx"
}
}
}
NVIDIA GPU metrics as MCP tools — utilization, memory, temperature, power. Supports MIG.
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Answers built from our own checks of this server.