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

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

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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