Cloud Services

gpueconomy.com

Tracks and compares cloud GPU rental prices across providers, including current rates, historical indices, and recent price changes.

1 endpoint16 known toolsFirst detected September 29, 2026Last detected October 13, 2026

ENDPOINT 1

https://gpueconomy.com/mcp

No auth detected

MCP server metadata

Name: gpueconomy
Version: 1.5.0

Capabilities

toolspromptsresourcescompletions

Server instructions

Cloud GPU rental prices from 60+ providers, read every hour from each provider's own pricing page or API and normalized to USD per GPU per hour. Every price carries scraped_at (when it was read) and page, the GPU Economy page that lists it beside the link to the provider page it was read from. Prices are listed rates, not availability. Data: CC BY 4.0. To pick a card for a requirement use find_gpus; to weigh two cards compare_gpus, two providers compare_providers; for a budget estimate_cost (listed rates times GPUs times hours, nothing else counted); for the trend price_history and price_index; for a 1- or 3-year commitment commitment_savings; for inference cost token_cost (modelled, with NVIDIA's run); for a provider provider_info. region (US or EU) narrows gpu_prices, find_gpus and estimate_cost to rates listed there or with no region named. buy_vs_rent sets a card's retail price against its rental rates. search and fetch find and read a GPU Economy page as text. Every answer starts with a one-line summary and carries cite_as: cite GPU Economy with the page named there.

Known tools 16

list_gpus

Every GPU model tracked, with its id, VRAM, how many providers list it and the median on-demand rate card in USD per GPU-hour.

Inferred read-only

gpu_prices

Current listed rental prices for one GPU model across providers, cheapest first, in USD per GPU-hour, each with the time it was read and the GPU Economy page that links its source.

Inferred read-only

provider_prices

Every current listed rental price at one provider (runpod, lambda, aws, vast-ai, ...), in USD per GPU-hour, each with its read time and the GPU Economy page that links its source.

Inferred read-only

price_index

The Cloud GPU Price Index: median listed on-demand H100 SXM rate across providers, this week and the last eight weeks, with the base-100 index and the receipts; also the newest hourly point and the monthly averages over a fixed panel.

Inferred read-only

recent_price_changes

Listed prices that changed in the last 30 days, one row per quote, newest change first: the figure before its first change in the window, the figure now, and how many times it changed.

Inferred read-only

find_gpus

GPU models that meet a memory and price requirement, cheapest first: for each card its cheapest live on-demand rate card (provider, read time, page), its median rate card and panel size, VRAM and price per GB of VRAM.

Inferred read-only

compare_gpus

Two GPU models side by side: VRAM, median rate card and panel size, cheapest on-demand rate, price per GB of VRAM, retail median where one exists, and every provider that lists both on-demand with the signed difference.

Inferred read-only

compare_providers

Two providers on every GPU both list on-demand today: each side's cheapest on-demand rate card, the difference and which is lower, and the count.

Inferred read-only

estimate_cost

What N GPUs of one model cost for a number of hours at listed rates: at each of the cheapest rate cards and at the median rate card, with the arithmetic.

Inferred read-only

price_history

Weekly median and cheapest listed on-demand rate for one GPU model, newest week first, from two sources kept apart: our own hourly reads, and a series reconstructed from a public price catalog (second-hand).

Inferred read-only

commitment_savings

Committed and spot rates for one GPU (or every GPU) set against the same provider's own on-demand rate for the same card, region and price scope - the pairs behind the site's typical discount - with the median per term across every card.

Inferred read-only

provider_info

One provider: its type (hyperscaler, specialist GPU cloud or marketplace), the regions or tiers it names, how GPU Economy reads its prices (pricing page, API or rendered page), how many GPU models and live quotes it has, a one-line note for a reader, its cheapest on-demand rate per card, and what it bills beyond the GPU-hour where read (what the rate includes, data out, storage, stopped instances, billing step).

Inferred read-only

token_cost

Modelled, not measured: a listed GPU-hour rate divided by the output throughput NVIDIA published for that card and model, per million output tokens, at the cheapest live on-demand rate card and at the median, with NVIDIA's run (model, framework, precision, sequence, concurrency, date).

Inferred read-only

buy_vs_rent

A card's new retail price (median of 3+ sellers) against its live on-demand rental rates: months of rental, at the cheapest rate card and at the median, that equal the purchase price, at 100%, 70%, 50% and 25% of a 730-hour month.

Potential side effects

search

Find GPU Economy pages for a query - a GPU, a provider, the price index, reserved rates, buy vs rent.

Inferred read-only

fetch

The text of one GPU Economy page by an id from search (gpu:h100-sxm, provider:runpod, index:h100, reserved, buy-vs-rent): its live rates with read times, as plain text, with the page URL to cite.

Inferred read-only

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.gpueconomy]
url = "https://gpueconomy.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "gpueconomy": {
      "type": "http",
      "url": "https://gpueconomy.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: gpueconomy
Remote MCP URL: https://gpueconomy.com/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": {
    "gpueconomy": {
      "url": "https://gpueconomy.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "gpueconomy",
  "transport": "streamable-http",
  "url": "https://gpueconomy.com/mcp"
}

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for gpueconomy.com was fetched 2026-10-01T23:43:24.520Z.

Trust status New

This domain appears to have previously been parked, so its current status is new or unverified.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.