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SpareHive GPU Advisor MCP Server

by richardxu001 Your server? Claim it
answering

SpareHive GPU Advisor is answering right now. Last checked moments ago. It exposes 5 tools.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 13 days of history
13 days agonow
100.0%
Uptime 24h
92 of 92 checks
5
Tools
read from the server
922 ms
Response time
average over 24h
open, no key
Access
streamable-http

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

run in your terminal
claude mcp add sparehive-advisor --transport http https://sparehive.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://sparehive.com/mcp
~/.codex/config.toml
[mcp_servers.sparehive-advisor]
url = "https://sparehive.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "sparehive-advisor": {
      "url": "https://sparehive.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "sparehive-advisor": {
      "type": "http",
      "url": "https://sparehive.com/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

data
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。
fit
fit_check
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。
gpu
gpu_prices
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。
model
model_requirements
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。
models
search_models
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。

Endpoints

URLTransportStateLatencyChecked
https://sparehive.com/mcp streamable-http answering 1878 ms 0 min ago

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SpareHive GPU Advisor — questions

Answers built from our own checks of this server.

What can SpareHive GPU Advisor do?
It exposes 5 tools, read directly from the server on our last check. Among them: data_status, fit_check, gpu_prices, model_requirements, search_models. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is SpareHive GPU Advisor working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 922 ms. The bar chart above shows every period we have measured.
Is SpareHive GPU Advisor still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect SpareHive GPU Advisor?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does SpareHive GPU Advisor need an API key?
No. SpareHive GPU Advisor completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is SpareHive GPU Advisor?
It answers our handshake in 922 ms on average, which is faster than 8% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.