SpareHive GPU Advisor

Read-only GPU advisor: model VRAM needs, fit checks and rental prices, with evidence grades.

Should I use this

Quality & Safety

B
Description quality
60%
Schema completeness
77%
Naming quality
84%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (4)

  • LOWTool 'search_models' description lacks action verbin search_models
  • LOWTool 'fit_check' description lacks action verbin fit_check
  • LOWTool 'gpu_prices' description lacks action verbin gpu_prices
  • LOWTool 'data_status' description lacks action verbin data_status

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~716Tokens (tool definitions)
~601 BTypical response size
Moderate attention impact (0.56% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "sparehive-advisor": {
      "url": "https://sparehive.com/mcp"
    }
  }
}

Remote endpoints

https://sparehive.com/mcpstreamable-http

What it can do

Tool inventory

Tools (5)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢search_models(query, type, limit)

按名字或类型查找模型 ID。查询模型显存需求前先用它确认 ID;模型名有别名(Qwen3.8 27B / qwen3.8-27b)。返回 id、类型、最小显存、参数规模。

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "模型名或别名;省略则列出全部"
    },
    "type": {
      "type": "string",
      "enum": [
        "text",
        "image",
        "video"
      ]
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "description": "默认 10"
    }
  },
  "additionalProperties": false
}
⚪model_requirements(model, quant, context_tokens)

查询部署某个模型需要的硬件配置:指定量化下的权重大小、最小/推荐显存、证据等级与出处,以及各张显卡的 fits/tight/no 判定与租价。数据可能过期,响应里会给出 data_updated 与 stale。

Input Schema

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "模型 id 或别名"
    },
    "quant": {
      "type": "string",
      "description": "量化档,如 Q4_K_M;省略则用推荐档"
    },
    "context_tokens": {
      "type": "integer",
      "minimum": 1,
      "description": "默认 4096"
    }
  },
  "required": [
    "model"
  ],
  "additionalProperties": false
}
🟢fit_check(model, gpu, quant, context_tokens)

判断某模型(指定量化、指定上下文)能否跑在某张显卡上。返回 fits/tight/no/unknown、剩余显存、内存拆解、以及跑不动时的替代方案(降量化/减上下文/换更大卡),并附带该卡的租金。

Input Schema

{
  "type": "object",
  "properties": {
    "model": {
      "type": "string"
    },
    "gpu": {
      "type": "string",
      "description": "显卡 id 或别名,如 rtx4090"
    },
    "quant": {
      "type": "string"
    },
    "context_tokens": {
      "type": "integer",
      "minimum": 1,
      "description": "默认 4096"
    }
  },
  "required": [
    "model",
    "gpu"
  ],
  "additionalProperties": false
}
⚪gpu_prices(gpu, include_competitors)

查询租用不同类型 GPU 的价格:我们的即时档/排队档报价、host 实得、电费成本、竞品中位价与国内零售价。只有 RTX 4090 有报价,其余显示为未定。

Input Schema

{
  "type": "object",
  "properties": {
    "gpu": {
      "type": "string"
    },
    "include_competitors": {
      "type": "boolean",
      "description": "默认 true"
    }
  },
  "additionalProperties": false
}
⚪data_status

报告数据的新鲜度:每个数据文件的更新时间、距今天数、是否超过 60 天阈值。当用户质疑数据是否过时时调用。

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

Community

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Evidence

Recent observations

verifiedversion not recorded5 tools