Gpuclouds MCP Server

by itsryanarmani Your server? Claim it

answering

Gpuclouds is answering right now. Last checked 13 min ago. It exposes 11 tools.

Compare GPU clouds for training and inference.

Uptime history 4 hours of history

4 hours agonow

100.0%

Uptime 24h

13 of 13 checks

Tools

read from the server

1089 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Gpuclouds every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 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 11

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	122 ms	13 min ago

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Gpuclouds — questions

Answers built from our own checks of this server.

What can Gpuclouds do?

It exposes 11 tools, read directly from the server on our last check. Among them: get_course, get_listing, get_product, get_stats, list_categories, list_courses and 5 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 13 of 13 checks got a reply (100.0%), average response time 1089 ms. The bar chart above shows every period we have measured.

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 11 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 1089 ms on average, which is faster than 3% 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.