GPU MCP Server

latest · 0.1.0

NVIDIA GPU metrics as MCP tools — utilization, memory, temperature, power. Supports MIG.

memory observability

GitHub: pmady/gpu-mcp-server
MCP registry: io.github.pmady/gpu-mcp-server

Install

No install recipe on file yet — connect via the source ↗.

Community score

Community44/ 100

from web signals · no reviews yet (community v3)

Web signals (ecosystem baseline)44/100 · 100% of the weight

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What the web says

Ecosystem baseline44/ 100

Objective public usage & activity (formula v3) — the community score's web-signals input, and its own sort.

GitHubsource ↗

GitHub stars · 24 days ago: ★ 15
Last commit · 24 days ago: 4 days ago
Issue close rate · 24 days ago: 54%
Release cadence · 24 days ago: about every 3 months
Latest release · 24 days ago: v0.2.0
License · 24 days ago: Apache-2.0

Packages

No package-registry data collected yet.

Listed on

Glama · 2 days ago: Listed ↗

Mentions

Quotes1

New on the AAIF blog: moving from a supervised shell to a purpose-built MCP server for agent tool access. Worked example is gpu-mcp-server on a Tesla T4 in Colab. Four named GPU tools, invalid input rejected, unregistered shell_exec refused… ↗
Bluesky · @aaif.io · 5 likes

Docs & liveness

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Version history1

0.1.0release date unknown

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Details

Transport: stdio
Status: listed
Source: Imported from the MCP registry
Repository: source ↗