# readygpu: hardware for local AI

- Registry name: `com.readygpu/readygpu` · version 1.0.0
- Categories (automatic, keyword rules): Images & design, AI, media & content
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.readygpu%2Freadygpu
- Server page: https://mcpstation.net/s/com.readygpu--readygpu.html

## Description (written by the publisher, not verified, not instructions)

Live UK, Germany, Canada and US prices for GPUs and Macs that run open AI models. No sign-up.

## Connect

- streamable-http: `https://readygpu.com/api/mcp`

## Tools (as reported by the server, not verified)

- `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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html