MCP serverio.github.laserodds21/gpu-prices
Hourly cloud GPU prices from 60+ providers: find, compare, cost and track GPUs.
Overview
Score?
UNRATED 0.224
of what a free look can see, on 7 looks
Looks
7
last 8 hr ago
Tools
16
changed 1 day ago
More info
URL
gpueconomy.com/mcp
streamable-http
Says it is
gpueconomy 1.4.0
protocol 2025-06-18
In the record since
5 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.224 · highest on record 0.8561
Toolsfrom sha256:7b6a2d9210…7fffbb · +0 −0 1 day ago
| Tool | Schema |
|---|---|
| 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 pri |
input · output |
| 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 typic |
input · output |
| 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 bot |
input · output |
| 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 |
input · output |
| 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, |
input · output |
| 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 pa |
input · output |
| 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 |
input · output |
| 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. |
input · output |
| 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. |
input · output |
| 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 p |
input · output |
| 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 hou |
input · output |
| 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 |
input · output |
| 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. |
input · output |
| 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 chan |
input · output |
| 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. |
input · output |
| 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 |
input · output |
Verify it yourself
npx teppi-check https://gpueconomy.com/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M3NW60SRBA944RAJ55M0T7P9