原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

GPU Finder

作者:gpufinder版本 1.1.2i★ –i电脑或云端
注册名称dev.gpufinder/gpufinder

安装

概览

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.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 电脑或云端
  • 传输方式: stdio, Streamable HTTP
  • 分类: 其他
  • 你需要填写:GPUFINDER_API_KEY, Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

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。

或者在你的电脑上运行

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'

或者在你的电脑上运行

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。

在 Cursor 中打开

或者自己复制设置

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"
      }
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "gpufinder": {
      "type": "http",
      "url": "https://gpufinder.dev/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

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。

需要你填写的值

  • GPUFINDER_API_KEY 机密 必填 env
    Your GPU Finder API key. Free key with 60 data calls a month at https://gpufinder.dev/developers
  • Authorization 机密 必填 HTTP header
    Bearer YOUR_API_KEY. Free key with 60 data calls a month at https://gpufinder.dev/developers. Works with 2025-era clients (Cursor, VS Code, Claude Code, Claude Desktop via mcp-remote).

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。

它能做什么

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_gpus

    List 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_providers

    List 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_prices

    List 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_availability

    Show 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_history

    Show 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_status

    Report 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_snapshot

    Check 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_usage

    Show 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.

基础检查i

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

  • ✓ 通过

    作者与仓库一致

    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)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 331 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 8 个工具描述,未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18610 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18610 个服务器的 79% 更新
  • 基础检查结果等于或优于此分类中其他 18610 个服务器的 100%

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。

常见问题

GPU Finder 安全吗?

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。

它需要哪些密钥或代码?

你需要填写:GPUFINDER_API_KEY, Authorization

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

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。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Alion: company, startup and market intelligence

替代选择

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

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

作者:formulahendry起步阶段↓ 66/周★ 44014个月前更新

在你的电脑上运行

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

作者:desktop-commander正在增长★ 2113天前更新

在云端运行✓ desktopcommander.app

作者的 README

打开 README

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。

GPU Finder MCP server

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:

  • "What is the cheapest 8× H100 node in stock right now, and on which provider?"
  • "Where can I rent a single RTX 5090 today, and for how much per hour?"
  • "How has B200 pricing moved over the last six months?"

The data comes from GPU Finder, which re-checks stock every hour.

Get a key

Create a free API key (60 data calls a month) at https://gpufinder.dev/developers. Paid plans add more calls.

Install

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.

Prefer no install?

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.

Tools

All tools are read-only.

ToolWhat it returns
list_gpusGPU models tracked, with specs and price range
list_providersProviders with GPU counts and links
get_pricesPer-provider offers for a GPU and node size (USD per hour)
get_market_snapshotCheapest listed offer and cheapest offer observed in stock at the last check
get_availabilityObserved stock by provider
get_price_historyUp to 12 months of price history
get_data_statusData freshness per provider
get_usageYour monthly allowance and usage (free)

Listing tools is free. Each data call uses one unit of your monthly allowance; get_usage uses none.

Rental prompt and pricing guide

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.

Environment variables

VariablePurpose
GPUFINDER_API_KEYYour API key (required for tool calls)
GPUFINDER_MCP_URLOverride the endpoint (default https://gpufinder.dev/mcp)
GPUFINDER_DEBUG=1Log requests to stderr; the key is never logged

How it works

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.

License

MIT

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