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Liquid Compute GPU test MCP Server

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answering

Liquid Compute GPU test is answering right now. Last checked 4 min ago. Last commit 16 Oct 2026.

Run GPU acceptance tests on your NVIDIA GPU nodes over SSH: DCGM, GEMM, HBM/PCIe bandwidth, NCCL.

Uptime history 17 days of history
17 days agonow
100.0%
Uptime 24h
92 of 92 checks
—
Tools
hidden behind auth
451 ms
Response time
average over 24h
0
Stars
last commit 16 Oct 2026

Nothing serious here today

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

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.

run in your terminal
claude mcp add gcat --transport http https://api.liquidcompute.co/mcp
Settings → Connectors → Add custom connector, then paste this address
https://api.liquidcompute.co/mcp
~/.codex/config.toml
[mcp_servers.gcat]
url = "https://api.liquidcompute.co/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "gcat": {
      "url": "https://api.liquidcompute.co/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "gcat": {
      "type": "http",
      "url": "https://api.liquidcompute.co/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

URLTransportStateLatencyChecked
https://api.liquidcompute.co/mcp streamable-http sign-in 510 ms 4 min ago

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Liquid Compute GPU test — questions

Answers built from our own checks of this server.

Why is there no tool list for Liquid Compute GPU test?
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 Liquid Compute GPU test 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 451 ms. The bar chart above shows every period we have measured.
How do I connect Liquid Compute GPU test?
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 Liquid Compute GPU test?
No API key is involved. Liquid Compute GPU test 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 Liquid Compute GPU test?
It answers our handshake in 451 ms on average, which is faster than 27% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Liquid Compute GPU test open source?
The code is open source: it is published under the MIT licence and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at api.liquidcompute.co, which runs on its operator's own terms.