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Gpu MCP Server

Unclaimed

by pmady

MCP server for NVIDIA GPU metrics give AI agents real-time access to GPU utilization, memory, temperature, and power

Install

$docker run --rm -i --gpus all ghcr.io/pmady/gpu-mcp-server:latest

Set up this server

This server needs project-specific setup. Follow the project instructions; no reusable public launch command is available yet.

Project instructions
aaifai-agentsgolanggpumcpmodel-context-protocolnvidianvml

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Unclaimed listing

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Security profile

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Documented tools (4)

From project documentation. A server handshake does not verify each tool’s description or behavior.

Tool change history

Compared across complete checks of the same configuration. Tools were listed, not invoked. Input-schema changes are not measured here.

No complete tool checks yet.

FAQ

Questions about Gpu MCP Server

How do I connect Gpu MCP Server to Claude?
The listing records `docker run --rm -i --gpus all ghcr.io/pmady/gpu-mcp-server:latest` as its setup step. Run it, then follow the repository's instructions for the client configuration; the listing names Claude Desktop, Cursor, Windsurf as compatible clients.
Is Gpu MCP Server free?
The listed licence is Apache-2.0. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
What can Gpu MCP Server do?
Gpu MCP Server documents 4 tools to the agent, including get_gpu_metrics, get_gpu_processes, gpu_summary. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.