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)
GPU prices, observed stock and seven-day availability history. Read-only; free API key.
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。
GPUFINDER_API_KEY, Authorization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 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"gpufinder": {
"command": "npx",
"args": [
"-y",
"gpufinder",
"mcp"
],
"env": {
"GPUFINDER_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http gpufinder https://gpufinder.dev/mcp --header 'Authorization: your-value'claude mcp add gpufinder --env GPUFINDER_API_KEY=your-value -- npx -y gpufinder 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": {
"gpufinder": {
"url": "https://gpufinder.dev/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"gpufinder": {
"command": "npx",
"args": [
"-y",
"gpufinder",
"mcp"
],
"env": {
"GPUFINDER_API_KEY": "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": {
"gpufinder": {
"type": "http",
"url": "https://gpufinder.dev/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"gpufinder": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"gpufinder",
"mcp"
],
"env": {
"GPUFINDER_API_KEY": "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。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 必填 HTTP header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。
工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
list_gpusList the GPU models GPU Finder tracks: canonical name and slug, VRAM, memory type, bandwidth, interconnect, provider and instance counts, and min/max hourly USD price. Returns canonical GPU identifiers and hardware specifications. Pages default to 20 rows, maximum 100; each page
list_providersList GPU cloud providers: name and slug, GPU and instance counts, min/max hourly USD price, egress cost per GB and free egress allowance, website and GPU Finder links, and last update time. Returns canonical provider identifiers and provider-level summaries. Pages default to 20 r
get_pricesList every provider offer for one GPU model and node size: provider, instance type, region, GPU count, on-demand and spot USD price per whole node hour, links and last update. Prices reflect collected data, not a live capacity guarantee. Pages default to 20 rows, maximum 100; eac
get_availabilityShow day-by-day stock for one GPU model over the last seven days, per provider and node size: available configuration-hours versus known configuration-hours each day, summed across tracked instances. Optionally limit to one provider. Reports observed availability history, not pro
get_price_historyShow how one GPU model's price changed month by month per provider: on-demand and spot USD per whole node hour for up to 12 UTC months. Pages default to 20 rows, maximum 100; each page costs one data unit. Reuse the same filters and page limit with nextCursor.
get_data_statusReport how fresh GPU Finder's data is: when price and availability collection last completed, and each provider's last success, last run, consecutive failures and last error. Includes timestamps for assessing data staleness. Costs one data unit; it is not an anonymous health chec
get_market_snapshotCheck a GPU configuration once or in a client-scheduled availability watch: cheapest listed and freshly observed in-stock offers for one GPU model and exact GPU count, with whole-node/per-GPU hourly USD price, observation time, provider and region. Optional provider and exact pro
get_usageShow this account's usage across REST and MCP: plan allowance, units used and remaining, and UTC reset times. Spends no monthly units and works after the monthly allowance is exhausted, but is still rate limited.
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8日
注册名称已通过域名 gpufinder.dev 验证(注册中心会核实域名所有权)
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
在 331 毫秒内响应(HTTP 200)
无需登录
已读取 8 个工具描述,未发现针对 AI 的隐藏指令
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 3 项适用的基础检查中通过了 3 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:GPUFINDER_API_KEY, Authorization
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(1.1.2)于10天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Alion: company, startup and market intelligence
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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.
Companies, jobs, pay and people; check counterparties, register agents, write to companies.
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。
Live cloud GPU prices, stock and price history across 30+ providers (hyperscalers, neoclouds and marketplaces), for Claude, Cursor, VS Code, Cline and any MCP client.
Ask your agent things like:
The data comes from GPU Finder, which re-checks stock every hour.
Create a free API key (60 data calls a month) at https://gpufinder.dev/developers. Paid plans add more calls.
npx -y gpufinder mcp runs the server over stdio. Add it to your client:
Claude Desktop / Cursor / Cline / Windsurf (claude_desktop_config.json, .cursor/mcp.json, …):
{
"mcpServers": { "gpufinder": { "command": "npx", "args": ["-y", "gpufinder", "mcp"], "env": { "GPUFINDER_API_KEY": "YOUR_API_KEY" } } } }
Claude Code:
claude mcp add gpufinder --env GPUFINDER_API_KEY=YOUR_API_KEY -- npx -y gpufinder mcp
VS Code (.vscode/mcp.json):
{
"inputs": [ { "type": "promptString", "id": "gpufinder-api-key", "description": "GPU Finder API key", "password": true } ], "servers": { "gpufinder": { "type": "stdio", "command": "npx", "args": ["-y", "gpufinder", "mcp"], "env": { "GPUFINDER_API_KEY": "${input:gpufinder-api-key}" } } } }
Requires Node.js 20 or newer. Keep your key out of files you commit.
Clients that support remote MCP servers can connect straight to https://gpufinder.dev/mcp with the header Authorization: Bearer YOUR_API_KEY. See https://gpufinder.dev/api.
All tools are read-only.
| Tool | What it returns |
|---|---|
list_gpus | GPU models tracked, with specs and price range |
list_providers | Providers with GPU counts and links |
get_prices | Per-provider offers for a GPU and node size (USD per hour) |
get_market_snapshot | Cheapest listed offer and cheapest offer observed in stock at the last check |
get_availability | Observed stock by provider |
get_price_history | Up to 12 months of price history |
get_data_status | Data freshness per provider |
get_usage | Your monthly allowance and usage (free) |
Listing tools is free. Each data call uses one unit of your monthly allowance; get_usage uses none.
Choose find_gpu_rental in your MCP client and enter a GPU model and the number of GPUs per node. For example, enter H100 and 8 to compare the cheapest listed eight-GPU node with the cheapest one recently observed in stock.
Read gpufinder://guides/pricing-and-stock for an example of whole-node and per-GPU hourly prices and how to interpret stock observations. Opening the prompt or guide is free. Running the market snapshot uses one data unit.
| Variable | Purpose |
|---|---|
GPUFINDER_API_KEY | Your API key (required for tool calls) |
GPUFINDER_MCP_URL | Override the endpoint (default https://gpufinder.dev/mcp) |
GPUFINDER_DEBUG=1 | Log requests to stderr; the key is never logged |
This package is a small stdio proxy with no dependencies. It forwards each MCP message to the hosted GPU Finder endpoint with your key and relays the reply, so the tool list always matches the live service.
Also listed in the official MCP Registry as dev.gpufinder/gpufinder.
MIT