readygpu: hardware for local AI

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.readygpu/readygpu and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 27 Oct 2026. Not supplied by the maker.

• 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) priced in a market, with memory, bandwidth, today's best price and the estimated speed on a model. Filter by maximum price and minimum memory;

• hardware_details

  One graphics card or machine in a market: its specifications, every current price (new and used), and which models it runs fully in memory at a context length, how fast.

• hardware_for_model

  For one model: how much memory it needs at each context length, the cheapest, best-value and fastest hardware that runs it fully in memory in a market, and their prices and speeds.

• 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, with prices.

• compare_hardware

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