readygpu: hardware for local AI
Live UK, Germany, Canada and US prices for GPUs and Macs that run open AI models. No sign-up.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"readygpu": {
"url": "https://readygpu.com/api/mcp"
}
}
}Remote-Endpunkte
https://readygpu.com/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (6)
🟢search_models(query, task, limit)
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.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"description": "Part of a model's name, e.g. qwen",
"type": "string",
"maxLength": 100
},
"task": {
"type": "string",
"enum": [
"chat",
"coding",
"agentic",
"vision",
"reasoning"
]
},
"limit": {
"default": 20,
"type": "integer",
"minimum": 1,
"maximum": 50
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢find_hardware(market, kind, min_memory_gb, condition, model, ...)
List graphics cards or complete machines (Macs, mini PCs) sold in a market, with memory, bandwidth, the estimated speed on a model and a link to each one's page and prices. Filter by minimum memory and new or used; sort by speed or popularity.
Eingabe-Schema
{
"type": "object",
"properties": {
"market": {
"default": "us",
"description": "Which market's catalogue: us, uk, de (Germany and the rest of the EU) or ca (Canada).",
"type": "string",
"enum": [
"us",
"uk",
"de",
"ca"
]
},
"kind": {
"default": "gpu_card",
"type": "string",
"enum": [
"gpu_card",
"machine"
]
},
"min_memory_gb": {
"type": "number",
"exclusiveMinimum": 0
},
"condition": {
"default": "any",
"type": "string",
"enum": [
"any",
"new",
"used"
]
},
"model": {
"description": "A model slug (from search_models) for the speed column; a reference model by default",
"type": "string",
"minLength": 1,
"maxLength": 120,
"pattern": "^[a-z0-9]+(?:-[a-z0-9]+)*$"
},
"context": {
"default": 32768,
"description": "Context length in tokens: 8192, 32768, 65536 or 131072.",
"anyOf": [
{
"type": "number",
"const": 8192
},
{
"type": "number",
"const": 32768
},
{
"type": "number",
"const": 65536
},
{
"type": "number",
"const": 131072
}
]
},
"sort": {
"default": "speed",
"type": "string",
"enum": [
"speed",
"popularity"
]
},
"limit": {
"default": 10,
"type": "integer",
"minimum": 1,
"maximum": 30
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢hardware_details(market, slug, context)
One graphics card or machine in a market: its specifications, which models it runs fully in memory at a context length and how fast, and a link to its page and prices.
Eingabe-Schema
{
"type": "object",
"properties": {
"market": {
"default": "us",
"description": "Which market's catalogue: us, uk, de (Germany and the rest of the EU) or ca (Canada).",
"type": "string",
"enum": [
"us",
"uk",
"de",
"ca"
]
},
"slug": {
"type": "string",
"minLength": 1,
"maxLength": 120,
"pattern": "^[a-z0-9]+(?:-[a-z0-9]+)*$",
"description": "A card or machine slug, from find_hardware"
},
"context": {
"default": 32768,
"description": "Context length in tokens: 8192, 32768, 65536 or 131072.",
"anyOf": [
{
"type": "number",
"const": 8192
},
{
"type": "number",
"const": 32768
},
{
"type": "number",
"const": 65536
},
{
"type": "number",
"const": 131072
}
]
}
},
"required": [
"slug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢hardware_for_model(market, model, context)
For one model: how much memory it needs at each context length, and the fastest hardware (and the fastest Mac) that runs it fully in memory in a market, with their speeds. Links the model's page, which shows the cheapest and best-value picks with prices.
Eingabe-Schema
{
"type": "object",
"properties": {
"market": {
"default": "us",
"description": "Which market's catalogue: us, uk, de (Germany and the rest of the EU) or ca (Canada).",
"type": "string",
"enum": [
"us",
"uk",
"de",
"ca"
]
},
"model": {
"type": "string",
"minLength": 1,
"maxLength": 120,
"pattern": "^[a-z0-9]+(?:-[a-z0-9]+)*$",
"description": "A model slug, from search_models"
},
"context": {
"default": 32768,
"description": "Context length in tokens: 8192, 32768, 65536 or 131072.",
"anyOf": [
{
"type": "number",
"const": 8192
},
{
"type": "number",
"const": 32768
},
{
"type": "number",
"const": 65536
},
{
"type": "number",
"const": 131072
}
]
}
},
"required": [
"model"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢best_hardware(market, list)
The ranked 'best for local AI' lists of a market (all graphics cards, cards under a price, used cards, Macs and mini PCs): best first by the most capable model each runs fully in memory. Prices are on each list's page.
Eingabe-Schema
{
"type": "object",
"properties": {
"market": {
"default": "us",
"description": "Which market's catalogue: us, uk, de (Germany and the rest of the EU) or ca (Canada).",
"type": "string",
"enum": [
"us",
"uk",
"de",
"ca"
]
},
"list": {
"default": "gpus",
"description": "Which list: us: gpus, gpus-under-300, gpus-under-500, gpus-under-1000, gpus-under-2000, used-gpus, machines; uk: gpus, gpus-under-300, gpus-under-500, gpus-under-1000, gpus-under-2000, used-gpus, machines; de: gpus, gpus-under-300, gpus-under-500, gpus-under-1000, gpus-under-2000, used-gpus, machines; ca: gpus, gpus-under-400, gpus-under-700, gpus-under-1400, gpus-under-2800, used-gpus, machines. Lists with too few priced entries are not published.",
"type": "string",
"pattern": "^[a-z0-9-]{1,60}$"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢compare_hardware(market, a, b, context)
Two graphics cards or machines side by side in a market: memory, bandwidth, how many models each runs fully in memory, and the estimated speed of each on every model.
Eingabe-Schema
{
"type": "object",
"properties": {
"market": {
"default": "us",
"description": "Which market's catalogue: us, uk, de (Germany and the rest of the EU) or ca (Canada).",
"type": "string",
"enum": [
"us",
"uk",
"de",
"ca"
]
},
"a": {
"type": "string",
"minLength": 1,
"maxLength": 120,
"pattern": "^[a-z0-9]+(?:-[a-z0-9]+)*$",
"description": "First card or machine slug"
},
"b": {
"type": "string",
"minLength": 1,
"maxLength": 120,
"pattern": "^[a-z0-9]+(?:-[a-z0-9]+)*$",
"description": "Second card or machine slug"
},
"context": {
"default": 32768,
"description": "Context length in tokens: 8192, 32768, 65536 or 131072.",
"anyOf": [
{
"type": "number",
"const": 8192
},
{
"type": "number",
"const": 32768
},
{
"type": "number",
"const": 65536
},
{
"type": "number",
"const": 131072
}
]
}
},
"required": [
"a",
"b"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
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