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PopNx MCPMCP servers for people who use AI · explained in plain words

GPU Finder

by gpufinderversion 1.1.2i★ –iComputer or cloud
Registry namedev.gpufinder/gpufinder

Install

Overview

Description from the maker (original English)

GPU prices, observed stock and seven-day availability history. Read-only; free API key.

PopNx MCP’s three pillars

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

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: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Other
  • You need to fill in: GPUFINDER_API_KEY, Authorization

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: GPUFINDER_API_KEY, Authorization

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

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • npmNode.js installed (for the npx command)

Which app do you use?

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

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

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

{
  "mcpServers": {
    "gpufinder": {
      "command": "npx",
      "args": [
        "-y",
        "gpufinder",
        "mcp"
      ],
      "env": {
        "GPUFINDER_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http gpufinder https://gpufinder.dev/mcp --header 'Authorization: your-value'

Or run it on your computer

claude mcp add gpufinder --env GPUFINDER_API_KEY=your-value -- npx -y gpufinder 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": {
    "gpufinder": {
      "url": "https://gpufinder.dev/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "gpufinder": {
      "command": "npx",
      "args": [
        "-y",
        "gpufinder",
        "mcp"
      ],
      "env": {
        "GPUFINDER_API_KEY": "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": {
    "gpufinder": {
      "type": "http",
      "url": "https://gpufinder.dev/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "gpufinder": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "gpufinder",
        "mcp"
      ],
      "env": {
        "GPUFINDER_API_KEY": "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 address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

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

Values you fill in

  • GPUFINDER_API_KEY secret required env
    Your GPU Finder API key. Free key with 60 data calls a month at https://gpufinder.dev/developers
  • Authorization secret required 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).

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 against the domain gpufinder.dev (the registry checks domain ownership)

  • … 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32476 servers in this category
  • Published to the registry more recently than 81% of the other 32476 servers in this category
  • Basic checks equal to or better than 100% of the other 32476 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 GPU Finder 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: GPUFINDER_API_KEY, Authorization

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.2) reached the registry 8 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

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

Alternatives

Servers in the same category from other makers, sorted by stars.

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

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

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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

Runs in the cloud★ 211Updated yesterday
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Find what a repository's CI is missing, and which security checks cannot fail the build.

Runs on your computerUpdated today
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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.

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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