Developer · Local MCP server
GPU Server
MCP server for GPU monitoring: nvidia-smi, VRAM, utilization, temperature.
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
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPI | mcp-gpu-server | 0.1.3 | stdio |
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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