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GPUQuant AI Infrastructure

REMOTE · GPUQUANT.COM

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

Available components

+3 this week 83 Trust /100

Last scanned (22 hours ago)

Scores higher than 90% of remote servers

Reachable. Last reached 16 Oct 2026.

Category Cloud Infrastructure

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security80
Transport & Reachability100
Schema Quality & AI Usability63
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 244 tokens (~81/item across 3 items; 3 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 13 Oct 26 +1
    • Stability: 0.97 → pass security
  • 12 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 97. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 10 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 90. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

  • 7 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

  • 4 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.

  • 30 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Sept 26 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 16 Oct 2026 · Probed https://gpuquant.com/api/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=*.gpuquant.com CN=YR2,O=Let's Encrypt,C=US 31 Aug 2026 29 Nov 2026 RSA 2048 SHA256-RSA 5b4e406d7df6f0c5f30537a8358814d9d99
SANs: *.gpuquant.com, gpuquant.com
CN=YR2,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA 4ebd24947e24d394802d84a52fd5b319
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of gpuquant.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
gpuquant.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=63072000
x-content-type-options nosniff

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://gpuquant.com/api/mcp Verified 200
http (plaintext) http://gpuquant.com/api/mcp HTTPS enforced 308 https://gpuquant.com/api/mcp
MCP tools · 3 exposed · ~195 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_company ~72

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.

NameTypeReqDescription
limitinteger––
offsetinteger––
relationshipstring––
slugstringyes–

No output schema declared.

No examples provided.

get_facility ~53

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.

NameTypeReqDescription
slugstringyes–

No output schema declared.

No examples provided.

search_infrastructure ~70

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

NameTypeReqDescription
kindstring––
limitinteger––
offsetinteger––
querystringyes–

No output schema declared.

No examples provided.

Install

How do I install the GPUQuant AI Infrastructure MCP server?

GPUQuant AI Infrastructure is a hosted endpoint at https://gpuquant.com/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · gpuquant.com

# add to Claude Code
claude mcp add --transport http com-gpuquant-infrastructure 'https://gpuquant.com/api/mcp'
Common questions

What is the GPUQuant AI Infrastructure MCP server?

GPUQuant AI Infrastructure is an MCP server listed in the public MCP registry as com.gpuquant/infrastructure. Search AI infrastructure, inspect facility evidence and explore sourced company relationships. This page covers its hosted endpoint (https://gpuquant.com/api/mcp).

Is the GPUQuant AI Infrastructure MCP server safe to use?

GPUQuant AI Infrastructure scores 83 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the GPUQuant AI Infrastructure MCP server expose?

GPUQuant AI Infrastructure exposes 3 tools: search_infrastructure, get_facility, get_company. Their descriptions and schemas cost roughly 195 tokens of context every time the server is loaded.

Does the GPUQuant AI Infrastructure MCP server require authentication?

No. We connected to GPUQuant AI Infrastructure without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the GPUQuant AI Infrastructure MCP server still maintained?

GPUQuant AI Infrastructure is still listed as active in the MCP registry. We last reached this channel on 16 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.