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GPUQuant AI Infrastructure

Registre officiel Recherche et web

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

Code source Site web Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http gpuquant-ai-infrastructure 'https://gpuquant.com/api/mcp'
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "gpuquant-ai-infrastructure": {
            "type": "http",
            "url": "https://gpuquant.com/api/mcp"
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. GPUQuant MCP
  2. Connect
  3. Tools
  4. Example questions
  5. Coverage and interpretation
  6. Check the connection
  7. Corrections and connection issues

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:

{
  "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:

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:

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

Corrections and connection issues

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

Questions fréquentes

Qu'est-ce que GPUQuant AI Infrastructure ?

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

Comment installer GPUQuant AI Infrastructure ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http gpuquant-ai-infrastructure 'https://gpuquant.com/api/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour GPUQuant AI Infrastructure ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

GPUQuant AI Infrastructure est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient GPUQuant AI Infrastructure ?

Il est publié par gpuquant. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.