ComputeNexa

Name: ComputeNexa
Author: computenexa-gpuInfrastructure

by computenexa-gpuInfrastructureversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.computenexa-gpuInfrastructure/computenexa-mcp

Install

Overview

Description from the maker (original English)

Find, launch and stop private GPUs on ComputeNexa, with a quote before anything is charged.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: CNX_API_KEY

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: CNX_API_KEY, CNX_MCP_MAX_LAUNCH_USD

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

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

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

{
  "mcpServers": {
    "computenexa": {
      "command": "uvx",
      "args": [
        "computenexa-mcp"
      ],
      "env": {
        "CNX_API_KEY": "your-value",
        "CNX_MCP_MAX_LAUNCH_USD": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add computenexa --env CNX_API_KEY=your-value --env CNX_MCP_MAX_LAUNCH_USD=your-value -- uvx computenexa-mcp

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": {
    "computenexa": {
      "command": "uvx",
      "args": [
        "computenexa-mcp"
      ],
      "env": {
        "CNX_API_KEY": "your-value",
        "CNX_MCP_MAX_LAUNCH_USD": "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": {
    "computenexa": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "computenexa-mcp"
      ],
      "env": {
        "CNX_API_KEY": "your-value",
        "CNX_MCP_MAX_LAUNCH_USD": "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 one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Values you fill in

CNX_API_KEY secret required env
A ComputeNexa API key (dashboard, API keys): Look only, or Launch and stop
CNX_MCP_MAX_LAUNCH_USD env
Most one launch, extension or renewal may cost, in US dollars

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 with the GitHub account computenexa-gpuInfrastructure, which owns the repo
… 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 applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32484 servers in this category
Published to the registry more recently than 85% of the other 32484 servers in this category
Basic checks equal to or better than 100% of the other 32484 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 ComputeNexa 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: CNX_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 6 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

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

Alternatives

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

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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.

ComputeNexa MCP server

Let your AI assistant find, launch and stop private GPUs on ComputeNexa. Ask it *"Which GPUs with 48 GB or more are in stock?"*, *"Launch the cheapest one with Data Science for two hours"* or *"Stop it"*: it uses your team's API key, shows you what each launch costs, and only spends money after you agree.

Works with Claude Desktop, Claude Code, Cursor, VS Code and other assistants that support the Model Context Protocol. It runs on your computer and talks to the ComputeNexa API; your key stays in your own settings.

Set up

In the ComputeNexa dashboard, open API keys and create a key:

Look only to browse GPUs, machines and spending;
Launch and stop to also launch, extend and stop machines.

Install uv (it runs the server with uvx, no separate install needed).
Add the server to your assistant (below), with your key as CNX_API_KEY.

Claude Code

claude mcp add --env CNX_API_KEY=cnxk_... --transport stdio computenexa -- uvx computenexa-mcp

Add --scope user to use it in every project.

Claude Desktop

Settings → Developer → Edit config (claude_desktop_config.json):

"mcpServers": { "computenexa": { "command": "uvx", "args": ["computenexa-mcp"], "env": { "CNX_API_KEY": "cnxk_..." } } } }

Cursor

~/.cursor/mcp.json (every project) or .cursor/mcp.json (one project): the same mcpServers entry as Claude Desktop.

VS Code

.vscode/mcp.json; VS Code asks for the key once and keeps it out of the file:

"inputs": [ { "type": "promptString", "id": "cnx-key", "description": "ComputeNexa API key", "password": true } ], "servers": { "computenexa": { "type": "stdio", "command": "uvx", "args": ["computenexa-mcp"], "env": { "CNX_API_KEY": "${input:cnx-key}" } } } }

What it can do

Tool	What it does	Key
`whoami`	Your email, team, balance, GPU limit and the key's permissions	any
`list_gpus`	GPUs with live prices and stock, cheapest first; filter by app, region, memory	any
`list_apps`	The apps a GPU starts with, their models, and what's installed	any
`list_machines` · `get_machine`	Your machines; how to connect (SSH, browser apps, API or endpoint address)	any
`get_usage` · `list_receipts`	Spending and GPU-hours; finished sessions and their cost	any
`list_projects` · `list_endpoints`	Saved projects; Endpoints and the machine each points at	any
`launch_machine`	Launch a GPU (quote first, then launch when you agree)	launch and stop
`extend_machine`	Add time (quote first)	launch and stop
`set_keep_running`	Renew a machine automatically until stopped (quote first)	launch and stop
`stop_machine`	End a machine now; unused time is refunded	launch and stop
`create_endpoint` · `get_endpoint_key`	A stable HTTPS address for your own server; its key	launch and stop

A look-only key only gets the read tools (the first six rows).

Safety

Nothing is charged without you. launch_machine, extend_machine and set_keep_running first return a quote, e.g. *"NVIDIA RTX A6000 with the datascience app for 2 h: $1.44 charged now ($0.72/h); unused time is refunded if it stops early."* Only a second call with confirm=true and the quoted total goes ahead; if the price went up in between, it's refused.
A limit per call: a launch, extension or keep-running renewal costing more than $25 is refused. Change it with CNX_MCP_MAX_LAUNCH_USD (in dollars) in the server's env. Your team's GPU limit and prepaid balance still apply on top.
Your API key never appears in a tool result. Endpoint keys are shown only when you create an endpoint or ask for its key.
Tools that spend money or end a machine are marked as such, so your assistant asks before using them.

Settings

Variable
`CNX_API_KEY`	Required. A ComputeNexa API key (`cnxk_…`)
`CNX_MCP_MAX_LAUNCH_USD`	Most one call may spend, in US dollars. Default `25`
`CNX_API_URL`	Only for testing against another ComputeNexa API

Develop

uv sync

uv run pytest uv run ruff check src tests

Built on the ComputeNexa Python SDK and the official MCP Python SDK.

Questions: support@computenexa.com · Security issues: see SECURITY.md.

ComputeNexa

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Recta

README from the maker

ComputeNexa MCP server

Set up

Claude Code

Claude Desktop

Cursor

VS Code

What it can do

Safety

Settings

Develop