readygpu: hardware for local AI

Connect Remote server

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

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

{
  "servers": {
    "readygpu": {
      "type": "http",
      "url": "https://readygpu.com/api/mcp"
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://readygpu.com/api/mcp

Tools 6 found in our last check

• search_models

  Find open-weight AI models by name or task (chat, coding, agentic, vision, reasoning). Returns each model's slug, size, context length and licence; use the slug with hardware_for_model.

• find_hardware

  List graphics cards or complete machines (Macs, mini PCs) sold in a market, with memory, bandwidth, the estimated speed on a model and a link to each one's page and prices. Filter by minimum memory and new or used; sort by speed or popularity.

• hardware_details

  One graphics card or machine in a market: its specifications, which models it runs fully in memory at a context length and how fast, and a link to its page and prices.

• hardware_for_model

  For one model: how much memory it needs at each context length, and the fastest hardware (and the fastest Mac) that runs it fully in memory in a market, with their speeds. Links the model's page, which shows the cheapest and best-value picks with prices.

• best_hardware

  The ranked 'best for local AI' lists of a market (all graphics cards, cards under a price, used cards, Macs and mini PCs): best first by the most capable model each runs fully in memory. Prices are on each list's page.

• compare_hardware

  Two graphics cards or machines side by side in a market: memory, bandwidth, how many models each runs fully in memory, and the estimated speed of each on every model.

Details

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