readygpu: hardware for local AI

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

사용해야 할까요

품질 및 안전성

A
설명 품질
100%
스키마 완전성
87%
이름 품질
87%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,778토큰 (도구 정의)
~2.1 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.39%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

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

원격 엔드포인트

https://readygpu.com/api/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (6)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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#"
}

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