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GPU Server MCP Server

local only

GPU Server runs on your own machine — the client starts it, so there is no endpoint to ping. 561 installs a week from pypi. Last commit 22 Oct 2026.

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

Installs per day peak 372 · avg 18
a month agotoday
561
Installs / week
pypi · gpu-server
0
Stars
0 open issues
22 Oct 2026
Last commit
from GitHub
—
License
Python

What the code does

We read the source, 3 d ago · rules 995398eba69f

Capabilities

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.

Runs an external command src/mcp_gpu_server/server.py:50
        rows = subprocess.run(

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

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.

Three servers free · no card

Connect this server

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.

run in your terminal
claude mcp add mcp-gpu-server -- uvx gpu-server
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-gpu-server": {
      "command": "uvx",
      "args": [
        "gpu-server"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-gpu-server]
command = "uvx"
args = ["gpu-server"]
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-gpu-server": {
      "command": "uvx",
      "args": [
        "gpu-server"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp-gpu-server": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "gpu-server"
      ]
    }
  }
}

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GPU Server — questions

Answers built from our own checks of this server.

Why is there no uptime for GPU Server?
GPU Server runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package gpu-server was installed 561 times last week.
How do I connect GPU Server?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls gpu-server straight from pypi; nothing to host, nothing to sign up for.
How many people use GPU Server?
The pypi package gpu-server was installed 561 times in the last week. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is GPU Server open source?
We cannot say either way: written in Python and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.