Developer · Local MCP server

GPU Server

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

Visit GPU Server's website

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.mesutoezdil/mcp-gpu-server
Version
0.1.3
Status
Active
Category
developer
Transport
stdio (local process)
Package
PyPI
Published
2026-05-03
Updated
2026-05-03
Publisher
mesutoezdil (GitHub)
Namespace
Namespace verified by the MCP Registry via GitHub (github.com/mesutoezdil) · how
Website
github.com/mesutoezdil/mcp-gpu-server
Repository
github.com/mesutoezdil/mcp-gpu-server
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPImcp-gpu-server0.1.3stdioNone declared

How to connect GPU Server

GPU Server runs locally from a Python package published to PyPI: mcp-gpu-server version 0.1.3. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install - the usual command is uvx mcp-gpu-server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "mcp-gpu-server": {
      "command": "uvx",
      "args": [
        "mcp-gpu-server"
      ]
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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