Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Find, launch and stop private GPUs on ComputeNexa, with a quote before anything is charged.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
CNX_API_KEY, CNX_MCP_MAX_LAUNCH_USD标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"computenexa": {
"command": "uvx",
"args": [
"computenexa-mcp"
],
"env": {
"CNX_API_KEY": "your-value",
"CNX_MCP_MAX_LAUNCH_USD": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add computenexa --env CNX_API_KEY=your-value --env CNX_MCP_MAX_LAUNCH_USD=your-value -- uvx computenexa-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"computenexa": {
"command": "uvx",
"args": [
"computenexa-mcp"
],
"env": {
"CNX_API_KEY": "your-value",
"CNX_MCP_MAX_LAUNCH_USD": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"computenexa": {
"type": "stdio",
"command": "uvx",
"args": [
"computenexa-mcp"
],
"env": {
"CNX_API_KEY": "your-value",
"CNX_MCP_MAX_LAUNCH_USD": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
CNX_MCP_MAX_LAUNCH_USD env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 computenexa-gpuInfrastructure 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:CNX_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.0)于6天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Spec Driven Development, Remote Desktop Commander, zanadir
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Find what a repository's CI is missing, and which security checks cannot fail the build.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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.| 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 |
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.