GPU Economy - cloud GPU prices is answering right now. Last checked 7 min ago. It exposes 16 tools.
Hourly cloud GPU prices from 60+ providers: find, compare, cost and track GPUs.
Uptime history
14 days of history
14 days agonow
100.0%
Uptime 24h
92 of 92 checks
16
Tools
read from the server
157 ms
Response time
average over 24h
open, no key
Access
streamable-http
What changed 24
Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 29 September 2026. No other catalogue keeps this.
2 Oct
a tool description was rewritten
provider_info
1 Oct
11 tools appeared
buy_vs_rent, commitment_savings, compare_gpus and 8 more
1 Oct
4 tools changed the parameters they ask for
estimate_cost, find_gpus, gpu_prices and 1 more
1 Oct
a tool changed version3 times that day
1 Oct
a tool description was rewritten
price_index
29 Sep
3 tool descriptions were rewritten
gpu_prices, list_gpus, provider_prices
29 Sep
a tool changed the parameters it asks for
gpu_prices
and 2 more, back to 29 September 2026
Nothing serious here today
Today is the operative word: we check GPU Economy - cloud GPU prices 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 7 min ago.
run in your terminal
claude mcp add gpu-prices --transport http https://gpueconomy.com/mcp~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"gpu-prices": {
"url": "https://gpueconomy.com/mcp"
}
}
}~/.codex/config.toml
[mcp_servers.gpu-prices]
url = "https://gpueconomy.com/mcp".cursor/mcp.json
{
"mcpServers": {
"gpu-prices": {
"url": "https://gpueconomy.com/mcp"
}
}
}.vscode/mcp.json
{
"mcpServers": {
"gpu-prices": {
"url": "https://gpueconomy.com/mcp"
}
}
}Available tools 16
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
compare
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. Live quotes 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. Community capacity and marketplace floors are left out of the comparison. Live quotes only.
gpus
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. Community capacity and marketplace floors are out unless the market is set.
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.
price
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). Each week carries its panel size; read a median against it.
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.
provider
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). Links its GPU Economy page.
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. Live quotes only.
buy
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. Rental fee only - power, hosting, the server around the card and resale are not counted. Without gpu, every card that has a retail median.
commitment
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. A commitment is paid whether the GPU runs or not.
estimate
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. Rental fee only - storage, network egress, taxes and idle time are not counted - and listed rates, not availability.
fetch
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.
gpu
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. Live quotes only.
recent
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. A quote back at its starting figure is left out, and so are marketplace floors unless asked for. Optionally for one GPU or one provider.
search
search
Find GPU Economy pages for a query - a GPU, a provider, the price index, reserved rates, buy vs rent. Returns ids for fetch, with each page's title and URL.
token
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). Cards are not comparable on it - NVIDIA runs each card differently - and an idle GPU costs the same and produces nothing: a floor, never a bill.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://gpueconomy.com/mcp | streamable-http | answering | 193 ms | 7 min ago |
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GPU Economy - cloud GPU prices — questions
Answers built from our own checks of this server.
What can GPU Economy - cloud GPU prices do?
It exposes 16 tools, read directly from the server on our last check. Among them: buy_vs_rent, commitment_savings, compare_gpus, compare_providers, estimate_cost, fetch and 10 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 →
What is GPU Economy - cloud GPU prices mostly used for?
Its tools cluster around price, provider and compare. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is GPU Economy - cloud GPU prices 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 157 ms. The bar chart above shows every period we have measured.
How do I connect GPU Economy - cloud GPU prices?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does GPU Economy - cloud GPU prices need an API key?
No. GPU Economy - cloud GPU prices completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 16 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is GPU Economy - cloud GPU prices?
It answers our handshake in 157 ms on average, which is faster than 70% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.