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 your agent: live catalogue, deploy, stop, destroy. Per-second billing.
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.
COMPUTEGPU_API_KEY, AuthorizationValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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": {
"computegpu": {
"command": "npx",
"args": [
"-y",
"computegpu"
],
"env": {
"COMPUTEGPU_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http computegpu https://mcp.computegpu.com/mcp --header 'Authorization: your-value'claude mcp add computegpu --env COMPUTEGPU_API_KEY=your-value -- npx -y computegpuFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"computegpu": {
"url": "https://mcp.computegpu.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"computegpu": {
"command": "npx",
"args": [
"-y",
"computegpu"
],
"env": {
"COMPUTEGPU_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": {
"computegpu": {
"type": "http",
"url": "https://mcp.computegpu.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"computegpu": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"computegpu"
],
"env": {
"COMPUTEGPU_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.
We have not read this server’s tool list yet; we check endpoints in rotation.
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
The registry name was verified with the GitHub account jyswee, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: COMPUTEGPU_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 (1.2.1) 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:★ 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
Cloudflare MCP servers
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.
Rent cloud GPUs from your terminal. Deploy in 30 seconds.
npm i -g computegpu
computegpu signup you@company.com my-agent computegpu deploy --gpu "RTX 4090"
npm i -g computegpu
Requires Node.js 18+.
# Create account
computegpu signup you@company.com my-project
computegpu types
computegpu deploy --gpu "RTX 4090" --models llama3.3
computegpu pods computegpu status POD_ID
computegpu stop POD_ID
| Command | Description |
|---|---|
signup | Create account + get API key |
login --key | Save existing API key |
logout | Clear saved key |
me | Show account info |
types | List 47 GPU models with pricing |
cheapest --vram | Find cheapest GPU for VRAM |
deploy --gpu "RTX 4090" | Deploy on-demand instance |
pods | List active instances |
status | Instance status + billing |
stop | Pause (billing stops) |
resume | Resume paused instance |
destroy | Permanent destroy |
balance | Wallet balance |
topup | Request top-up ($1 minimum) |
computegpu deploy --gpu "RTX 4090" # on-demand
computegpu deploy --gpu "RTX 4090" --spot # 50% off (preemptible) computegpu deploy --gpu "H100" --count 4 # multi-GPU computegpu deploy --gpu "RTX 4090" --models llama3.3,gemma4 # pre-load models computegpu deploy --gpu "RTX 4090" --type docker # Docker + SSH computegpu deploy --gpu "RTX 4090" --volume 100 # persistent storage
API key is saved to ~/.computegpu/config.json (global) or ./.computegpu/config.json (local).
Priority: --key flag > COMPUTEGPU_API_KEY env > local config > global config.
computegpu login --key gpu_your_key # save globally
computegpu login --key gpu_your_key --local # save per-project computegpu config # show active config
47 GPU models. Per-second billing. $1 minimum top-up.
Proprietary. Copyright (c) 2026 Tyga.Cloud Ltd. See LICENSE.