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gpu.nz GPU cloud

by gpunzversion 1.0.0i★ –iComputer or cloud
Registry namenz.gpu/gpu-cloud

Install

Overview

Description from the maker (original English)

Rent cloud GPUs from AI agents: live prices, VRAM estimates, launch, logs and stop.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Other
  • You need to fill in: GPUNZ_API_KEY, Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: GPUNZ_API_KEY, Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "gpu-cloud": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GPUNZ_API_KEY",
        "ghcr.io/gpunz/gpunz-mcp:1.0.0"
      ],
      "env": {
        "GPUNZ_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http gpu-cloud https://gpu.nz/mcp --header 'Authorization: your-value'

Or run it on your computer

claude mcp add gpu-cloud --env GPUNZ_API_KEY=your-value -- docker run -i --rm -e GPUNZ_API_KEY ghcr.io/gpunz/gpunz-mcp:1.0.0

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "gpu-cloud": {
      "url": "https://gpu.nz/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "gpu-cloud": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GPUNZ_API_KEY",
        "ghcr.io/gpunz/gpunz-mcp:1.0.0"
      ],
      "env": {
        "GPUNZ_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "gpu-cloud": {
      "type": "http",
      "url": "https://gpu.nz/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "gpu-cloud": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GPUNZ_API_KEY",
        "ghcr.io/gpunz/gpunz-mcp:1.0.0"
      ],
      "env": {
        "GPUNZ_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • GPUNZ_API_KEY secret env
    API key (gpz_…) from https://gpu.nz/console/keys. Optional: without it only browsing tools work.
  • Authorization secret HTTP header
    Bearer gpz_… API key from https://gpu.nz/console/keys. Optional: without it only GPU search, prices and VRAM estimates work.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain gpu.nz (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32380 servers in this category
  • Published to the registry more recently than 68% of the other 32380 servers in this category
  • Basic checks equal to or better than 100% of the other 32380 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is gpu.nz GPU cloud safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GPUNZ_API_KEY, Authorization

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 17 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Dechonet MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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Dechonet MCP

by node-man

30 security tools for AI agents: phishing links, exposure maps, DNS, SSL, PQC, history, pivots.

Computer or cloudUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

gpu.nz MCP server

Let Claude, Cursor, Codex and other AI agents rent cloud GPUs: search RTX 4090, A100, H100 and B200 servers with live prices, work out how much VRAM a model needs, launch ComfyUI, Ollama, vLLM or Jupyter, read the logs and stop the server when the job is done. Billed by the minute.

Docs · VRAM calculator · REST API · CLI · Русский


Connect

The server is hosted at `https://gpu.nz/mcp` — nothing to install. Browsing GPUs, prices and VRAM estimates works without a key; renting and managing servers needs an API key from gpu.nz/console/keys.

Claude Code

claude mcp add --transport http gpunz https://gpu.nz/mcp \

--header "Authorization: Bearer gpz_…"

Cursor — ~/.cursor/mcp.json

{

"mcpServers": { "gpunz": { "url": "https://gpu.nz/mcp", "headers": { "Authorization": "Bearer gpz_…" } } } }

VS Code — .vscode/mcp.json (asks for the key once and keeps it in secret storage)

{

"servers": { "gpunz": { "type": "http", "url": "https://gpu.nz/mcp", "headers": { "Authorization": "Bearer ${input:gpunz-key}" } } }, "inputs": [{ "type": "promptString", "id": "gpunz-key", "description": "gpu.nz API key", "password": true }] }

Codex CLI

export GPUNZ_API_KEY="gpz_…"

codex mcp add gpunz --url https://gpu.nz/mcp --bearer-token-env-var GPUNZ_API_KEY

Claude Desktop — claude_desktop_config.json, through mcp-remote

{

"mcpServers": { "gpunz": { "command": "npx", "args": ["-y", "mcp-remote", "https://gpu.nz/mcp", "--header", "Authorization:${GPUNZ_AUTH}"], "env": { "GPUNZ_AUTH": "Bearer gpz_…" } } } }

On claude.ai you can add https://gpu.nz/mcp under Connectors without a key: search and estimates work.

Local stdio bridge

For clients that only start local servers, this repository is a small stdio bridge to the hosted server:

# Docker

docker run -i --rm -e GPUNZ_API_KEY="gpz_…" ghcr.io/gpunz/gpunz-mcp

Node.js 18+, straight from GitHub

GPUNZ_API_KEY="gpz_…" npx -y github:gpunz/gpunz-mcp

Variable
GPUNZ_API_KEYAPI key (gpz_…). Optional: without it only the browsing tools work
GPUNZ_MCP_URLEndpoint override, default https://gpu.nz/mcp

Tools

ToolWhat it doesKey scope
list_gpu_modelsGPU models in stock: memory, class, cheapest price per hour—
search_offersServers with live prices; filter by GPU, count, VRAM, price, country, reliability—
get_offerOne server and its current price—
list_templatesReady environments: ComfyUI, Forge, Ollama + Open WebUI, vLLM, Jupyter, Kohya, FluxGym, Unsloth, your own Docker image—
estimate_vramVRAM a model needs (Qwen, DeepSeek, Llama, Gemma, GPT-OSS, FLUX, Wan…) at a quantisation and context, and the cheapest GPUs that fit—
topup_linkA link to top up the balance in the browser—
get_accountAccount, balance, hourly spend and runwayuser:read, billing:read
list_instances · get_instanceYour servers: status, SSH command, app URLs, cost so farinstances:read
get_instance_logsThe last log lines: boot, app start-up, errorsinstances:read
create_instanceRents a server with a template; billing starts at onceinstances:write
stop_instance · start_instanceStop (only the disk is billed) and start againinstances:write
destroy_instanceDestroys a server and its diskinstances:write
list_ssh_keys · add_ssh_keySSH keys installed on new serversuser:read / user:write

Try asking

  • *How much VRAM does Qwen3.8 27B need with a 32k context, and where is it cheapest?*
  • *Find the cheapest RTX 4090 with reliability above 0.98 and start ComfyUI on it with an 80 GB disk.*
  • *Run GPT-OSS 120B on one H100 and give me the chat link when the server is ready.*
  • *Show my servers and what they cost per hour; stop the ones I haven't touched since yesterday.*

Money and safety

  • The agent cannot spend more than your balance: top-ups happen in the browser only.
  • create_instance, start_instance and destroy_instance are annotated as consequential, so clients ask you before running them.
  • The root password stays out of tool output unless asked for explicitly; your SSH keys are installed on every server.
  • The tools call the gpu.nz REST API with your key: its scopes, the rate limit (120 requests a minute per key) and the account's audit log apply.

По-русски

MCP-сервер gpu.nz подключает аренду видеокарт к ИИ-агентам: Claude, Cursor, Codex и другим. Агент сам найдёт подходящую видеокарту, посчитает видеопамять для модели, арендует сервер с ComfyUI, Ollama или vLLM, прочитает логи и остановит сервер. Адрес: https://gpu.nz/mcp, оплата поминутная, в рублях через СБП или криптой. Документация: gpu.nz/docs/mcp.

License

MIT. gpu.nz is a GPU cloud billed by the minute; the hosted server and the API are run by gpu.nz.

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