Center AI Vision GPU cloud MCP Server

by centeraivision Your server? Claim it

answering

Center AI Vision GPU cloud is answering right now. Last checked 13 min ago.

Rent A100 and H100 GPUs by the minute from your agent, within a spending limit you set.

Uptime history 5 days of history

5 days agonow

100.0%

Uptime 24h

91 of 91 checks

—

Tools

hidden behind auth

670 ms

Response time

average over 24h

OAuth sign-in

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Center AI Vision GPU cloud 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 gpu-cloud --transport http https://console.centeraivision.com/mcp

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

https://console.centeraivision.com/mcp

~/.codex/config.toml

[mcp_servers.gpu-cloud]
url = "https://console.centeraivision.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "gpu-cloud": {
      "url": "https://console.centeraivision.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "gpu-cloud": {
      "type": "http",
      "url": "https://console.centeraivision.com/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URL	Transport	State	Latency	Checked
https://console.centeraivision.com/mcp	streamable-http	sign-in	653 ms	13 min ago

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Center AI Vision GPU cloud — questions

Answers built from our own checks of this server.

Why is there no tool list for Center AI Vision GPU cloud?

The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.

Is Center AI Vision GPU cloud working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 670 ms. The bar chart above shows every period we have measured.

How do I connect Center AI Vision GPU cloud?

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. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.

How do you sign in to Center AI Vision GPU cloud?

No API key is involved. Center AI Vision GPU cloud answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.

How fast is Center AI Vision GPU cloud?

It answers our handshake in 670 ms on average, which is faster than 14% 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.