GPUQuant AI Infrastructure MCP Server

by gpuquant Your server? Claim it

not responding

GPUQuant AI Infrastructure is listed as active in the registry but did not answer our last check. It exposes 3 tools. Last commit 13 Sep 2026.

Search AI infrastructure, inspect facility evidence and explore sourced company relationships.

Uptime history 9 days of history · worst day 2%

9 days agonow

2.2%

Uptime 24h

2 of 91 checks

Tools

read from the server

356 ms

Response time

average over 24h

Stars

last commit 13 Sep 2026

GPUQuant AI Infrastructure does not always answer

Over the last week it answered 28.0% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 16 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add infrastructure --transport http https://gpuquant.com/api/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "infrastructure": {
      "url": "https://gpuquant.com/api/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.infrastructure]
url = "https://gpuquant.com/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "infrastructure": {
      "url": "https://gpuquant.com/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "infrastructure": {
      "url": "https://gpuquant.com/api/mcp"
    }
  }
}

Available tools 3

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

company

get_company

Read a company and a page of published supplier, customer, ownership, investment, or facility relationships. Company verification dates are unknown. Each upstream relationship category is capped at 500.

facility

get_facility

Read one published facility by slug, including canonical URL, sourced facts, and actual verification date. At most 20 source links; no quotes, imagery, geometry, or market series.

infrastructure

search_infrastructure

Search published facility and company names, slugs, operators, localities, and country codes. Literal text search with bounded pagination; no arbitrary SQL or URL fetching.

Endpoints

URL	Transport	State	Latency	Checked
https://gpuquant.com/api/mcp	streamable-http	answering	198 ms	16 min ago

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GPUQuant AI Infrastructure — questions

Answers built from our own checks of this server.

What can GPUQuant AI Infrastructure do?

It exposes 3 tools, read directly from the server on our last check. Among them: get_company, get_facility, search_infrastructure. 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 GPUQuant AI Infrastructure working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 2 of 91 checks got a reply (2.2%), average response time 356 ms. The bar chart above shows every period we have measured.

The registry lists GPUQuant AI Infrastructure as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect GPUQuant AI Infrastructure?

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

Does GPUQuant AI Infrastructure need an API key?

No. GPUQuant AI Infrastructure completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is GPUQuant AI Infrastructure?

It answers our handshake in 356 ms on average, which is faster than 46% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is GPUQuant AI Infrastructure open source?

Yes — it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.