Gpu MCP Server
UnclaimedMCP 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:latestSet up this server
aaifai-agentsgolanggpumcpmodel-context-protocolnvidianvml
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Documented tools (4)
From project documentation. A server handshake does not verify each tool’s description or behavior.
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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.