GPUvec MCP Server

by abdelkareemkobo Your server? Claim it

answering

GPUvec is answering right now. Last checked 6 min ago. It exposes 9 tools.

Compare GPU specs and cloud rental offers, check CUDA support, and estimate Qdrant resources.

Uptime history 7 days of history

7 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

331 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check GPUvec every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add gpuvec --transport http https://gpuvec.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://gpuvec.com/mcp

~/.codex/config.toml

[mcp_servers.gpuvec]
url = "https://gpuvec.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "gpuvec": {
      "url": "https://gpuvec.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "gpuvec": {
      "type": "http",
      "url": "https://gpuvec.com/mcp"
    }
  }
}

Available tools 9

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

accelerator

get_accelerator

Get one exact accelerator model or canonical slug. Unknown models are errors, not guessed specifications.

accelerators

list_accelerators

List recorded accelerator specifications, with units, field provenance and unknowns. At most 50 per page.

compare

compare_accelerators

Compare 2–4 distinct exact models side by side; no invented performance score or compatibility ranking.

compute

compute_capability

Retrieve source-backed NVIDIA CUDA hardware compute capability context; non-CUDA is not assigned a CC. No toolkit/framework guarantee.

estimate

estimate_qdrant

Calculate deterministic Qdrant capacity using the site's shared real engine. KiB inputs, byte outputs; not measured capacity or QPS sizing.

offers

find_offers

Find recorded offers with bounded price/count/VRAM filters. Unknown units, scope or counts never pass numeric filters. Billing is a case-insensitive substring; availability is recorded, not live.

price

list_price_history

Read actual approved GPU price observations, newest first. UTC dates filter capture time; distinct configurations are not one price trend.

providers

list_providers

List GPU compute services with field-scoped official provenance, independent of priced offers and live stock.

qdrant

list_qdrant_pricing

List dated official managed Cloud package quotes, not live prices or hardware recommendations.

Endpoints

URL	Transport	State	Latency	Checked
https://gpuvec.com/mcp	streamable-http	answering	336 ms	6 min ago

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GPUvec — questions

Answers built from our own checks of this server.

What can GPUvec do?

It exposes 9 tools, read directly from the server on our last check. Among them: compare_accelerators, compute_capability, estimate_qdrant, find_offers, get_accelerator, list_accelerators and 3 more. 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 GPUvec 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 331 ms. The bar chart above shows every period we have measured.

How do I connect GPUvec?

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 GPUvec need an API key?

No. GPUvec completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 9 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is GPUvec?

It answers our handshake in 331 ms on average, which is faster than 43% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.