readygpu: hardware for local AI

com.readygpuPublished by readygpu.comOfficial publisherv1.0.0Updated Oct 29, 2026

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

VerifiedStreamable HTTPWeb executableBusiness & CommerceAI & ML

Overview

AI-generated overview

Looks up which GPUs, Macs and mini PCs sold in the UK, Germany, Canada and US can run a given open AI model fully in memory, with estimated speeds and price…

What you can do
  • Search open-weight models by name or task and get slug, size, context length and licence
  • List graphics cards and complete machines in a market, filtered by memory and new or used, sorted by speed or popularity
  • Inspect one card or machine: specs, which models it runs fully in memory at a given context length, and estimated speed
  • For a model, get memory needs per context length plus the fastest hardware and fastest Mac that run it
  • Show ranked best-for-local-AI lists per market, and compare two cards or machines side by side
When to use it
Useful when someone is choosing hardware to run a local open-weight model and wants to know whether it fits in memory, how fast it would be, and where to check current prices in the UK, Germany, Canada or the US.
Requirements
Remote streamable HTTP endpoint at readygpu.com; no account, API key or environment variables are declared. Network access is needed, and prices are only viewable on the linked readygpu.com pages.
Before you install
Speeds are estimates rather than benchmarks, so they should be presented as such. Prices are not returned directly; answers link to readygpu.com pages, and the server is described as read-only and free with no sign-up.

Installation

In SourceWeft

  1. Open readygpu: hardware for local AI in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.readygpu%2Freadygpu/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "readygpu-hardware-for-local-ai": {
      "type": "http",
      "url": "https://readygpu.com/api/mcp"
    }
  }
}

Tools

6

search_models

Search open 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.

Parameterstasklimitquery

find_hardware

Find graphics cards or machines

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.

Parameterskindsortlimitmodelmarketcontextconditionmin_memory_gb

hardware_details

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.

Parametersslugrequiredmarketcontext

hardware_for_model

Hardware to run a 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.

Parametersmodelrequiredmarketcontext

best_hardware

Best hardware lists

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.

Parameterslistmarket

compare_hardware

Compare two

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.

Parametersarequiredbrequiredmarketcontext

Version history

1
  1. v1.0.0LatestOct 29, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.