SERVER

GPU MCP

Rank #42,254

glama/wtrhacker/gpu-mcp

Enables AI coding agents to run policy-constrained Python jobs on lab NVIDIA GPU hosts, including GPU inspection, device reservation, job launching and monitoring, and owner-scoped process stopping.

First listed
Aug 31, 2026
Last publish date
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OVERVIEW

GPU MCP is a Model Context Protocol (MCP) server published by wtrhacker. It ranks #42,254 of 137,492 servers tracked on MCP Toplist, and its repository has 2 GitHub stars. GPU MCP is listed on Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on Aug 31, 2026.

STANDING
#42,254of 137,492 tracked serversTop 50%

Ranks ahead of 95,238 of 137,492 servers on MCP Toplist.

CONNECT

Use GPU MCP

No setupRuns out of the box

No credentials or required configuration declared — add it to your MCP client and go.

This server doesn't publish a machine-readable install config — see the repository README for install instructions.

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MCP Toplist: Top 50% of 137,492
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REGISTRIES

Listed on 1 registry

ORGANIZATION

wtrhacker

Organization
Servers in org
1
Versions across org
0
VERSIONS

Not versioned

This server is published through a registry that does not expose explicit version metadata, and no GitHub release tags were found on the linked repository. The listing tracks a single rolling release.

FAQ

Frequently asked questions

Who maintains GPU MCP?
GPU MCP is maintained by wtrhacker, which publishes 1 MCP server (0 total versions) tracked on MCP Toplist.
Is GPU MCP listed on the Official MCP Registry?
GPU MCP is not on the Official MCP Registry. It is listed on Glama.
How many versions does GPU MCP have?
GPU MCP ships as a single rolling release with no explicit version metadata.
Where can I find the source code for GPU MCP?
The source code for GPU MCP is hosted at github.com/wtrhacker/gpu-mcp.
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