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  3. GPUQuant AI Infrastructure
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GPUQuant AI Infrastructure

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View RepositoryVisit Website

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for GPUQuant AI Infrastructure, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

GPUQuant MCP

Connect an AI agent to sourced AI infrastructure records from GPUQuant.

GPUQuant's hosted MCP provides read-only tools for finding infrastructure, inspecting facility facts and checking company relationships. Results link to GPUQuant records and their supporting sources, retaining verification dates and unknown values.

Connection URL: https://gpuquant.com/api/mcp

Transport: Streamable HTTP. No API key is required for this public infrastructure service.

This repository contains connection instructions, the registry manifest and a reproducible HTTP smoke test. The hosted service runs on GPUQuant; cloning this repository does not copy or self-host GPUQuant's database.

Connect

In an MCP-compatible application's remote-server settings, add the connection URL above. Use the application's own remote MCP support; configuration format varies by client.

For clients using the VS Code mcp.json format:

config.json
{
  "servers": {
    "gpuquant": {
      "type": "http",
      "url": "https://gpuquant.com/api/mcp"
    }
  }
}

See the GPUQuant connection guide and your client's current MCP documentation. The endpoint supports the current MCP protocol and legacy clients using the 2025 initialization handshake.

Tools

ToolPurpose
search_infrastructureFind infrastructure records by name or location with bounded pagination
get_facilityRead a facility's public facts, sources and verification context
get_companyRead company facts and sourced relationships

Use tools/list to obtain the exact current input schemas. Results include canonical GPUQuant URLs so readers can open the underlying record and report a correction.

Example questions

  • “Find infrastructure records mentioning Copenhagen and show their sources.”
  • “What does GPUQuant know about this facility's operator and status, and when was it verified?”
  • “Which supply-chain relationships are documented for this company, and which are only reported?”
  • “Identify unknown or stale facts before summarizing this company's infrastructure.”

Coverage and interpretation

The first release focuses on infrastructure records and company relationships. It does not expose licensed Ornn or Silicon Data feeds, trading accounts, orders, imagery, building geometry or raw source excerpts. Dates describe the underlying records or sources; a retrieval timestamp is not a fresh verification of a fact.

Announced capacity, construction and operating capacity are different claims. Missing values remain unknown. Supporting sources may describe different dates or scopes; inspect them before relying on a comparison. The MCP supplies research context and does not place trades or provide investment recommendations.

Check the connection

Requires Node.js 20 or newer. No packages or credentials are needed:

sh
node scripts/smoke.mjs

The script checks initialization, tool discovery, all three tools against real records, and current-protocol discovery. To test a development endpoint:

sh
node scripts/smoke.mjs http://localhost:3000/api/mcp

Corrections and connection issues

  • Report an incorrect infrastructure record.
  • Report an MCP connection issue.
  • Contact GPUQuant for data access and partnerships.

The MIT license applies to this repository's original documentation and example code. Data and linked sources retain their own terms. Methodology · Map · Community

Read the full README →View source on GitHub →

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Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about GPUQuant AI Infrastructure

We don't have a confirmed install command for GPUQuant AI Infrastructure yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/gpuquant/mcp) for the current steps.

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Technical Specs & Signals

Category💻Developer Tools
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Last updatedSep 28, 2026
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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