gpu.nz MCP server
OfficialClick on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@gpu.nz MCP serverFind the cheapest RTX 4090 and start ComfyUI on it."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 ${input:gpunz-key}" }
}
},
"inputs": [{ "type": "promptString", "id": "gpunz-key", "description": "gpu.nz API key", "password": true }]
}Codex CLI
export GPUNZ_API_KEY="gpz_…"
codex mcp add gpunz --url https://gpu.nz/mcp --bearer-token-env-var GPUNZ_API_KEYClaude Desktop — claude_desktop_config.json, through mcp-remote
{
"mcpServers": {
"gpunz": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://gpu.nz/mcp", "--header", "Authorization:${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-mcpVariable | |
| API key ( |
| Endpoint override, default |
Related MCP server: Vast.ai MCP Server
Tools
Tool | What it does | Key scope |
| GPU models in stock: memory, class, cheapest price per hour | — |
| Servers with live prices; filter by GPU, count, VRAM, price, country, reliability | — |
| One server and its current price | — |
| Ready environments: ComfyUI, Forge, Ollama + Open WebUI, vLLM, Jupyter, Kohya, FluxGym, Unsloth, your own Docker image | — |
| VRAM a model needs (Qwen, DeepSeek, Llama, Gemma, GPT-OSS, FLUX, Wan…) at a quantisation and context, and the cheapest GPUs that fit | — |
| A link to top up the balance in the browser | — |
| Account, balance, hourly spend and runway |
|
| Your servers: status, SSH command, app URLs, cost so far |
|
| The last log lines: boot, app start-up, errors |
|
| Rents a server with a template; billing starts at once |
|
| Stop (only the disk is billed) and start again |
|
| Destroys a server and its disk |
|
| SSH keys installed on new servers |
|
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_instanceanddestroy_instanceare 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.
This server cannot be deployed
Maintenance
Related MCP Connectors
On-demand GPU nodes for agents: create nodes, run commands, and submit jobs, billed by the minute.
GPU compute for agents: run commands on an L4/A100/H100, watch logs, billed per second.
Live GPU rental market: 2,500+ offers across a dozen provider feeds. History, watches, limit orders.
Live cloud GPU prices, observed stock and 12-month price history across 30+ providers (H100, H200, A100, RTX 5090 and more), refreshed hourly. Read-only. Needs a GPU Finder API key sent as "Authorization: Bearer <key>"; free key with 60 data calls a month at https://gpufinder.dev/developers. Listing tools and get_usage are free.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables interaction with Hyperbolic's GPU cloud, allowing users to view available GPUs, rent instances, establish SSH connections, and run GPU-powered workloads through natural language commands.17MIT
- AlicenseNot gradedqualityFmaintenanceEnables comprehensive management of Vast.ai GPU cloud instances, including searching for GPU offers, creating and managing instances, executing remote commands via SSH, and monitoring background tasks for ML training workflows.13MIT
- AlicenseAqualityCmaintenanceLets AI agents rent GPUs on Nosana, browse deployable templates, compare live GPU prices, estimate costs, and deploy or manage services like MiniMax H3 using account credits.1428 npm22MIT
- AlicenseAqualityCmaintenanceEnables AI agents to search Vast.ai GPU marketplace, deploy compute-heavy video models or ComfyUI, and guarantee instances are torn down after the job finishes.172MIT