Gpuclouds MCP Server

by pooriaarab Your server? Claim it

answering

Gpuclouds is answering right now. Last checked 5 min ago. It exposes 9 tools.

Compare GPU clouds for training and inference.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 5 days of history

5 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

554 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 3

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 2 November 2026. No other catalogue keeps this.

1 Nov 3 tools appeared get_product, list_product_categories, list_products

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add gpuclouds --transport http https://gpuclouds.fyi/mcp

Settings → Connectors → Add custom connector, then paste this address

https://gpuclouds.fyi/mcp

~/.codex/config.toml

[mcp_servers.gpuclouds]
url = "https://gpuclouds.fyi/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "gpuclouds": {
      "url": "https://gpuclouds.fyi/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "gpuclouds": {
      "type": "http",
      "url": "https://gpuclouds.fyi/mcp"
    }
  }
}

Available tools 9

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

product

get_product

Get one affiliate product by its slug, with its page and outbound link.

list_product_categories

List the product categories with their product counts.

Endpoints

URL	Transport	State	Latency	Checked
https://gpuclouds.fyi/mcp	streamable-http	answering	147 ms	5 min ago

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Gpuclouds — questions

Answers built from our own checks of this server.

What can Gpuclouds do?

It exposes 9 tools, read directly from the server on our last check. Among them: get_listing, get_product, get_stats, list_categories, list_places, list_product_categories and 3 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Gpuclouds working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 554 ms. The bar chart above shows every period we have measured.

Is Gpuclouds still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect Gpuclouds?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Gpuclouds need an API key?

No. Gpuclouds completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 9 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Gpuclouds?

It answers our handshake in 554 ms on average, which is faster than 21% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.