GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Rent cloud GPUs from AI agents: live prices, VRAM estimates, launch, logs and stop.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
GPUNZ_API_KEY, AuthorizationValues 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.
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'claude mcp add gpu-cloud --env GPUNZ_API_KEY=your-value -- docker run -i --rm -e GPUNZ_API_KEY ghcr.io/gpunz/gpunz-mcp:1.0.0Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"gpu-cloud": {
"url": "https://gpu.nz/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"gpu-cloud": {
"type": "http",
"url": "https://gpu.nz/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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.
Authorization secret HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
list_gpu_modelsGPU models available on gpu.nz right now with VRAM, class and the cheapest hourly price per GPU. Use it to pick a gpu_slug for search_offers.
search_offersSearch rentable GPU servers (offers) with live prices. Returns the cheapest matches first unless `order` says otherwise. Each result has an offer id for create_instance.
get_offerDetails and the current price of one offer by id (from search_offers).
list_templatesReady environments a server can start with: ComfyUI, Stable Diffusion Forge, Ollama + Open WebUI, vLLM, Jupyter/PyTorch, Kohya, FluxGym, Unsloth, chats with preloaded models, plain Ubuntu + CUDA, or a custom Docker image. Pass `slug` as `template` to create_instance.
estimate_vramHow much GPU memory an AI model needs (LLMs such as Qwen, DeepSeek, Llama, Gemma, GPT-OSS; image and video models such as FLUX, SDXL, Wan) at a given precision and context length, and which GPUs on gpu.nz fit it with their current price. Call without `model` to list the known mod
get_accountThe signed-in account and its balance, hourly burn and runway. Needs a key with user:read and billing:read.
list_instancesYour rented servers with status, GPU, price and SSH command. Needs instances:read.
get_instanceStatus, SSH command, app URLs (ComfyUI, Jupyter, chat…), price and cost so far of one server. The root password is left out unless include_password is true (your SSH keys are installed on every server).
create_instanceRents the server of an offer and starts it with a template. Billing starts right away and runs every minute until you stop or destroy it. Confirm the price with the user first. Needs instances:write. The response has the instance id; poll get_instance until status is running (usu
stop_instanceStops a running server: the GPU is released and billing drops to the disk only. Data on the disk is kept and the server can be started again (the GPU may then be taken by someone else; gpu.nz finds a replacement when it is). Needs instances:write.
start_instanceStarts a stopped server again; GPU billing resumes. Confirm with the user. Needs instances:write.
destroy_instanceDestroys a server and deletes its disk for good; billing stops completely. Irreversible: confirm with the user. Needs instances:write.
get_instance_logsThe last lines of a server's container log: boot progress, app start-up, errors. Needs instances:read.
list_ssh_keysSSH public keys on the account; they are installed on new servers. Needs user:read.
add_ssh_keyAdds an SSH public key (a line from a .pub file) to the account. Needs user:write.
topup_linkA link to the balance top-up page (SBP, crypto) for the user to open in a browser; payments never happen through the API. Optionally pre-fills the amount.
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 8, 2026
The registry name was verified against the domain gpu.nz (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 581 ms (HTTP 200)
No sign-in needed
Read 16 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
You need to fill in: GPUNZ_API_KEY, Authorization
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 20 days ago.
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.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
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.
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
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.
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
GPUNZ_API_KEY="gpz_…" npx -y github:gpunz/gpunz-mcp
| Variable | |
|---|---|
GPUNZ_API_KEY | API key (gpz_…). Optional: without it only the browsing tools work |
GPUNZ_MCP_URL | Endpoint override, default https://gpu.nz/mcp |
| Tool | What it does | Key scope |
|---|---|---|
list_gpu_models | GPU models in stock: memory, class, cheapest price per hour | — |
search_offers | Servers with live prices; filter by GPU, count, VRAM, price, country, reliability | — |
get_offer | One server and its current price | — |
list_templates | Ready environments: ComfyUI, Forge, Ollama + Open WebUI, vLLM, Jupyter, Kohya, FluxGym, Unsloth, your own Docker image | — |
estimate_vram | VRAM a model needs (Qwen, DeepSeek, Llama, Gemma, GPT-OSS, FLUX, Wan…) at a quantisation and context, and the cheapest GPUs that fit | — |
topup_link | A link to top up the balance in the browser | — |
get_account | Account, balance, hourly spend and runway | user:read, billing:read |
list_instances · get_instance | Your servers: status, SSH command, app URLs, cost so far | instances:read |
get_instance_logs | The last log lines: boot, app start-up, errors | instances:read |
create_instance | Rents a server with a template; billing starts at once | instances:write |
stop_instance · start_instance | Stop (only the disk is billed) and start again | instances:write |
destroy_instance | Destroys a server and its disk | instances:write |
list_ssh_keys · add_ssh_key | SSH keys installed on new servers | user:read / user:write |
create_instance, start_instance and destroy_instance are annotated as consequential, so clients ask you before running them.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.
MIT. gpu.nz is a GPU cloud billed by the minute; the hosted server and the API are run by gpu.nz.