GPU MCP Server
An MCP server that exposes NVIDIA GPU metrics as tools. Its 4 documented tools cluster into read & search, gpu.
People who need memory tools inside Claude, Cursor, VS Code, or another MCP client. The project is written in HCL.
VERIFIED ACTIVE
LAST COMMIT 2026-08-22 · ★ 15 · #209 OF 259 MAINTAINED MEMORY · VERIFIED 2026-08-25
Apache-2.0 · HCL · how we verify → /methodology
01 · Install GPU MCP Server
Docker
docker run -i --rm ghcr.io/pmady/gpu-mcp-server:v0.1.0 Claude Desktop - add to config
{
"mcpServers": {
"pmady-gpu-mcp-server": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/pmady/gpu-mcp-server:v0.1.0"
]
}
}
} Using another client? Same JSON, different key
Claude Desktop · mcpServers
Cursor · mcpServers
VS Code · servers
Windsurf · mcpServers
Zed · context_servers
Cline · mcpServers
Roo Code · mcpServers
Continue · mcpServers
LibreChat · mcpServers
Gemini CLI · mcpServers
Codex CLI · mcp_servers
Full setup guides: every client.
02 · Evidence
Security posture
What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.
runs as container (OCI image) - can be sandboxed away from your filesystem
license Apache-2.0 - declared in the repository
registry namespace io.github.pmady is GitHub-verified and matches the repo owner
03 · What GPU MCP Server can do
Prose above is summarized from the project's README and registry record - no invented capabilities.
What you can build
An agent gets 4 documented tools across read & search, gpu, including list_gpus, get_gpu_metrics, get_gpu_processes, gpu_summary.
Capability map
Tools grouped from the project's README - what GPU MCP Server lets an agent do.
read & search
3 tools - e.g. List all GPUs with utilization and memory info; Detailed metrics for a GPU by index or UUID; PID-level GPU process attribution
list_gpus · get_gpu_metrics · get_gpu_processes
Gpu
1 tool - e.g. Aggregate stats across all devices
gpu_summary
Latest releases
v0.1.0 · 2026-06-25
Update README.md · New Contributors · @mbrs-afk made their first contribution in
04 · Who maintains GPU MCP Server
GPU MCP Server is maintained by pmady. It's the only MCP server we track from this author; the repo dates to Jun 2026.
05 · Facts
- repository
- github.com/pmady/gpu-mcp-server
- category
- memory - ranked #209 of 259 actively-maintained memory servers as of 2026-08-25.
- release cadence
- 1 release in the last 90 days (latest 2026-06-25)
- registry
- io.github.pmady/gpu-mcp-server (active, first published 2026-06-25)
- packages
- oci:ghcr.io/pmady/gpu-mcp-server:v0.1.0
06 · GPU MCP Server FAQ
Is GPU MCP Server still maintained?
Yes - as of 2026-08-25, its last commit was 2026-08-22 and it shipped 1 release in the last 90 days. We re-verify nightly.
What can GPU MCP Server do?
An agent gets 4 documented tools across read & search, gpu, including list_gpus, get_gpu_metrics, get_gpu_processes, gpu_summary.
How do I install GPU MCP Server?
Run `docker run -i --rm ghcr.io/pmady/gpu-mcp-server:v0.1.0`. You can also paste the ready-made client config above.
07 · Alternatives to GPU MCP Server
Alternatives to GPU MCP Server
Maintained memory servers if GPU MCP Server isn't the fit.
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- Superlog Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents. ★ 1,394 · 2026-08-23
- Persome Local-first personal memory and model server for trusted MCP agents on macOS. ★ 1,314 · 2026-08-21
- Neo4j Memory MCP Neo4j Knowledge Graph Memory Server ★ 979 · 2026-04-10
- Projectmem Local-first memory + judgment layer for AI coding agents - warns before repeating failed fixes. ★ 750 · 2026-08-06
Pairs well with
Servers that cover what GPU MCP Server doesn't - only shown when the pairing reason fits the companion.
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