Find, launch and stop private GPUs on ComputeNexa, with a quote before anything is charged.
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io.github.computenexa-gpuInfrastructure/computenexa-mcp is an MCP server that find, launch and stop private GPUs on ComputeNexa, with a quote before anything is charged. Its tool list has not been published yet over stdio and http, requires no API key, and scores 60/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"computenexa": {
"env": {
"CNX_API_KEY": "cnxk_..."
},
"args": [
"computenexa-mcp"
],
"command": "uvx"
}
}
}Are you the author?
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Find, launch and stop private GPUs on ComputeNexa, with a quote before anything is charged.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked computenexa-mcp against OSV.dev.
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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.
uvx, no separate install needed).CNX_API_KEY.claude mcp add --env CNX_API_KEY=cnxk_... --transport stdio computenexa -- uvx computenexa-mcp
Add --scope user to use it in every project.
Settings → Developer → Edit config (claude_desktop_config.json):
{
"mcpServers": {
"computenexa": {
"command": "uvx",
"args": ["computenexa-mcp"],
"env": { "CNX_API_KEY": "cnxk_..." }
}
}
}
~/.cursor/mcp.json (every project) or .cursor/mcp.json (one project): the same mcpServers entry as Claude
Desktop.
.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}" }
}
}
}
| 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).
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.CNX_MCP_MAX_LAUNCH_USD (in dollars) in the server's env. Your team's GPU limit and prepaid balance still
apply on top.