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gpu.nz GPU cloud

gpu.nz GPU cloud

Remote
gpu.nzCloud & Infra1Updated 1w ago

About gpu.nz GPU cloud

gpu.nz GPU cloud is a hosted MCP server for AI agents that need to find and manage rented cloud GPUs. It combines live offer search and VRAM estimates with instance launch, monitoring, and stop controls.

Key features

  1. 01Search GPU offers and live prices
  2. 02Estimate model VRAM requirements
  3. 03Launch servers from ready templates
  4. 04Inspect instances, costs, and logs
  5. 05Start, stop, or destroy instances

Use cases

  1. 01Finding a GPU that fits a model
  2. 02Launching ComfyUI, Ollama, or vLLM
  3. 03Checking instance logs and spending
  4. 04Stopping or removing rented servers

MCP support

The hosted server at https://gpu.nz/mcp exposes GPU search, pricing, VRAM estimation, and account and instance management tools. Browsing and estimates work without an API key; renting and managing instances require one.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gpu.nz/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://gpu.nz/mcpAuth required
Packages
ocighcr.io/gpunz/gpunz-mcp:1.0.0

Tools

Details

From the project README
gpu.nz MCP — let AI agents find a GPU, estimate VRAM, rent a server and stop it

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.

MCP Endpoint License: MIT

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.

Comments

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From what the protocol is to installing your first server, these answers cover most first questions.

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