INDIVIDUAL MCP TOOL

estimate_vram

How much GPU memory an AI model needs (LLMs such as Qwen, DeepSeek, Llama, Gemma, GPT-OSS; image and video models such as FLUX, SDXL, Wan) at a given precision and context length, and which GPUs on gpu.

gpu.nznone authenticationAvailability not checked

LIVE ENDPOINT

https://gpu.nz/mcp

No auth detected

Connect to this endpoint to inspect the live schema for estimate_vram and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

gpu.nz

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.gpu-nz]
url = "https://gpu.nz/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "gpu-nz": {
      "type": "http",
      "url": "https://gpu.nz/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: gpu-nz
Remote MCP URL: https://gpu.nz/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "gpu-nz": {
      "url": "https://gpu.nz/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "gpu-nz": {
      "type": "http",
      "url": "https://gpu.nz/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "gpu-nz",
  "transport": "streamable-http",
  "url": "https://gpu.nz/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

list_gpu_models — GPU models available on gpu.
search_offers — Search rentable GPU servers (offers) with live prices.
get_offer — Details and the current price of one offer by id (from search_offers).
list_templates — Ready environments a server can start with: ComfyUI, Stable Diffusion Forge, Ollama + Open WebUI, vLLM, Jupyter/PyTorch, Kohya, FluxGym, Unsloth, chats with preloaded models, plain Ubuntu + CUDA, or a custom Docker image.
get_account — The signed-in account and its balance, hourly burn and runway.
list_instances — Your rented servers with status, GPU, price and SSH command.
get_instance — Status, SSH command, app URLs (ComfyUI, Jupyter, chat…), price and cost so far of one server.
create_instance — Rents the server of an offer and starts it with a template.