# GPU Economy - cloud GPU prices (remote · gpueconomy.com)

Hourly cloud GPU prices from 80+ providers: find, compare, cost and track GPUs.

- Trust score: 86/100 (high trust)
- Change this week: 0
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `gpueconomy.com`: 86/100 (this document), [markdown](https://verifymcp.io/servers/laserodds21-gpu-prices/gpueconomy.md), [page](https://verifymcp.io/servers/laserodds21-gpu-prices/gpueconomy)

## Channel facts

- Endpoint: `https://gpueconomy.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.5.1`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Endpoint Security**: 74/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Nothing on it is marked destructive, but we can't show that an anonymous caller can only read: full credit needs the server to list at least one tool and every tool to be verifiably read-only. We use a best-effort check of tool names and descriptions to tell read-only tools from tools that change things, so some genuinely read-only tools may not get full credit. Names that start with a read verb (get, list, read, search and similar) and accurate readOnlyHint annotations help. Meet that to earn full credit, or require authorisation.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 87/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 2223 tokens (~105/item across 21 items; 16 tools + 5 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 100/100
  - No destabilizing schema changes in the last 30 days.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 16 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 18 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### How do I install the GPU Economy - cloud GPU prices MCP server?

GPU Economy - cloud GPU prices is a hosted endpoint at https://gpueconomy.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http laserodds21-gpu-prices 'https://gpueconomy.com/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "laserodds21-gpu-prices": {
      "url": "https://gpueconomy.com/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "laserodds21-gpu-prices": {
      "type": "http",
      "url": "https://gpueconomy.com/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.laserodds21-gpu-prices]
url = "https://gpueconomy.com/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "laserodds21-gpu-prices": {
      "type": "remote",
      "url": "https://gpueconomy.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add laserodds21-gpu-prices --url 'https://gpueconomy.com/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  laserodds21-gpu-prices:
    url: "https://gpueconomy.com/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "laserodds21-gpu-prices": {
      "Transport": "http",
      "Url": "https://gpueconomy.com/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add laserodds21-gpu-prices -t streamable-http -u 'https://gpueconomy.com/mcp'
```

### Other

```json
{
  "mcpServers": {
    "laserodds21-gpu-prices": {
      "type": "http",
      "url": "https://gpueconomy.com/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-28 (score 86, +1)

- [security] Stability: 0.97 → pass

### 2026-10-26 (score 85, +1)

No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-24 (score 84, +1)

No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-22 (score 83, +1)

No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-20 (score 82, +1)

No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-19 (score 81, 0)

- [functional] Server version: 1.5.0 → 1.5.1

### 2026-10-18 (score 81, +1)

No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-15 (score 80, +1)

No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (16)

### `list_gpus` (~39 tokens)

List GPU models

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.

Output parameters:

- `attribution` (string)
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `count`
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `gpus`

### `gpu_prices` (~166 tokens)

Current prices for one GPU

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.

Input parameters:

- `gpu` (string, required): GPU id (h100-sxm, h200, b200, rtx-4090) or a name ("H100 SXM", "RTX 4090").
- `limit` (integer): Rows to return, cheapest first; default 10.
- `market` (string): Market to keep; default on_demand. "any" keeps spot, community, serverless and reserved too.
- `region` (string): Rates listed in US or EU regions, plus rates that name no region (a provider's rate everywhere); default any.

Output parameters:

- `attribution` (string)
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `gpu`
- `gpu_id`
- `market`
- `note`
- `page`
- `prices`
- `quotes`
- `region`

### `provider_prices` (~86 tokens)

Current prices at one provider

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.

Input parameters:

- `provider` (string, required): Provider id (runpod, lambda, coreweave, aws, azure, gcp, vast-ai) or its name.

Output parameters:

- `attribution` (string)
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `page`
- `prices`
- `provider`
- `provider_id`
- `quotes`

### `price_index` (~82 tokens)

Cloud GPU Price Index (H100)

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.

Input parameters:

- `window` (string): Which window leads the answer; default week. Every answer carries the newest value of each.

Output parameters:

- `attribution` (string)
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `current`
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `hour`
- `method`
- `months`
- `name`
- `page`
- `receipts`
- `series`
- `window`

### `recent_price_changes` (~141 tokens)

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.

Input parameters:

- `gpu` (string): Optional GPU id or name.
- `include_marketplaces` (boolean): Also list marketplace floors (Vast.ai), which move with every read; default false.
- `limit` (integer): Rows; default 20.
- `provider` (string): Optional provider id or name.

Output parameters:

- `attribution` (string)
- `changes`
- `changes_in_window`
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `marketplaces`
- `page`
- `quotes_changed`
- `window`

### `find_gpus` (~202 tokens)

Find GPUs that meet a requirement

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.

Input parameters:

- `limit` (integer): Cards to return; default 10.
- `market` (string): Market of the cheapest rate; default on_demand.
- `max_usd_per_gpu_hour` (number): Highest acceptable rate per GPU-hour, compared with each card's cheapest rate. Optional.
- `min_vram_gb` (number): Least memory per GPU, in GB (24, 48, 80, 141...). Default 0.
- `region` (string): Rates listed in US or EU regions, plus rates that name no region (a provider's rate everywhere); default any.
- `vendor` (string): Default any.

Output parameters:

- `attribution` (string)
- `cards_matching`
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `gpus`
- `note`
- `requirement`

### `compare_gpus` (~94 tokens)

Compare two 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.

Input parameters:

- `a` (string, required): First GPU id or name (h100-sxm, "H200").
- `b` (string, required): Second GPU id or name.

Output parameters:

- `a`
- `attribution` (string)
- `b`
- `both`
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `difference_is`
- `note`
- `providers_listing_both`

### `compare_providers` (~89 tokens)

Compare two 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.

Input parameters:

- `a` (string, required): First provider id or name (runpod, lambda, "Google Cloud").
- `b` (string, required): Second provider id or name.

Output parameters:

- `a`
- `attribution` (string)
- `b`
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `gpus`
- `gpus_compared`
- `lower_on`
- `note`
- `page`

### `estimate_cost` (~172 tokens)

Estimate what a workload costs

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.

Input parameters:

- `gpu` (string, required): GPU id or name.
- `gpus` (integer): How many GPUs; default 1.
- `hours` (number): Hours of use; default 730 (a month around the clock).
- `limit` (integer): Cheapest rate cards to price; default 5.
- `market` (string): Market; default on_demand.
- `region` (string): Rates listed in US or EU regions, plus rates that name no region (a provider's rate everywhere); default any.

Output parameters:

- `arithmetic`
- `at_cheapest`
- `at_median`
- `attribution` (string)
- `buy_instead`
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `gpu`
- `gpu_id`
- `gpus`
- `hours`
- `market`
- `not_counted`
- `page`
- `region`

### `price_history` (~90 tokens)

Weekly price history of one GPU

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.

Input parameters:

- `gpu` (string, required): GPU id or name.
- `weeks` (integer): Weeks per source, newest first; default 12.

Output parameters:

- `attribution` (string)
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `gpu`
- `gpu_id`
- `note`
- `page`
- `series`

### `commitment_savings` (~130 tokens)

What a 1- or 3-year commitment saves

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.

Input parameters:

- `gpu` (string): Optional GPU id or name; without it, every card.
- `limit` (integer): Pairs to return, largest saving first; default 15.
- `term` (string): Which market to pair; default any (1-year, 3-year and spot).

Output parameters:

- `attribution` (string)
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `gpu`
- `method`
- `note`
- `page`
- `pairs`
- `pairs_found`
- `term`
- `typical_by_term`

### `provider_info` (~126 tokens)

What a provider is and how it is read

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.

Input parameters:

- `provider` (string, required): Provider id or name (runpod, "Google Cloud", vast-ai).

Output parameters:

- `attribution` (string)
- `beyond_gpu_hour`
- `cheapest_on_demand_by_gpu`
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `gpu_models_live`
- `live_quotes`
- `markets`
- `note`
- `page`
- `provider`
- `provider_id`
- `read`
- `regions_or_tiers`
- `type`

### `token_cost` (~170 tokens)

Cost per million output tokens (modelled)

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.

Input parameters:

- `gpu` (string, required): GPU id or name; NVIDIA publishes runs for B200, B300, H100 SXM, H200 and RTX PRO 6000.
- `model` (string): Optional model name to keep (gpt-oss-120b, "Qwen 3.5"); default every model NVIDIA ran on the card.

Output parameters:

- `attribution` (string)
- `caveat`
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `formula`
- `gpu`
- `gpu_id`
- `modelled`
- `page`
- `rates`
- `runs`
- `throughput_source`

### `buy_vs_rent` (~132 tokens)

Buy or rent a GPU

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.

Input parameters:

- `gpu` (string): GPU id or name, e.g. rtx-4090; omit for every card with a retail median.

Output parameters:

- `attribution` (string)
- `cards`
- `cite_as` (string): How to cite this answer: GPU Economy, the page, the data date.
- `data_updated_at` (string): Newest scrape behind the answer (ISO 8601).
- `gpu`
- `gpu_id`
- `hours_per_month`
- `not_counted`
- `page`

### `search` (~78 tokens)

Search GPU Economy pages

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 parameters:

- `query` (string, required): What to look for, e.g. "H100 SXM", "runpod", "reserved H200", "price index".

Output parameters:

- `results` (array)

### `fetch` (~72 tokens)

Read a GPU Economy page

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.

Input parameters:

- `id` (string, required): An id from search.

Output parameters:

- `id` (string)
- `metadata` (object)
- `text` (string)
- `title` (string)
- `url` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/laserodds21-gpu-prices/gpueconomy#diagnostics

## Score history

- 2026-11-05: 86
- 2026-11-04: 86
- 2026-11-03: 86
- 2026-11-02: 86
- 2026-11-01: 86
- 2026-10-31: 86
- 2026-10-30: 86
- 2026-10-29: 86
- 2026-10-28: 86
- 2026-10-27: 85
- 2026-10-26: 85
- 2026-10-25: 84
- 2026-10-24: 84
- 2026-10-23: 83
- 2026-10-22: 83
- 2026-10-21: 82
- 2026-10-20: 82
- 2026-10-19: 81
- 2026-10-18: 81
- 2026-10-17: 80
- 2026-10-16: 80
- 2026-10-15: 80
- 2026-10-14: 79
- 2026-10-13: 79
- 2026-10-12: 78
- 2026-10-10: 77
- 2026-10-09: 77
- 2026-10-04: 74
- 2026-10-03: 74
- 2026-10-02: 74

## Common questions

### What is the GPU Economy - cloud GPU prices MCP server?

GPU Economy - cloud GPU prices is an MCP server listed in the public MCP registry as io.github.laserodds21/gpu-prices. Hourly cloud GPU prices from 80+ providers: find, compare, cost and track GPUs. This page covers its hosted endpoint (https://gpueconomy.com/mcp).

### Is the GPU Economy - cloud GPU prices MCP server safe to use?

GPU Economy - cloud GPU prices scores 86 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the GPU Economy - cloud GPU prices MCP server expose?

GPU Economy - cloud GPU prices exposes 16 tools: list_gpus, gpu_prices, provider_prices, price_index, recent_price_changes, and 11 more. Their descriptions and schemas cost roughly 1,869 tokens of context every time the server is loaded.

### Does the GPU Economy - cloud GPU prices MCP server require authentication?

No. We connected to GPU Economy - cloud GPU prices without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the GPU Economy - cloud GPU prices MCP server still maintained?

GPU Economy - cloud GPU prices is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What did VerifyMCP test on the GPU Economy - cloud GPU prices MCP server?

VerifyMCP ran 13 checks on GPU Economy - cloud GPU prices, covering TLS certificate, Authorization, HTTPS, HSTS header and 9 more. Supply Chain Security and Provenance & Transparency do not apply to a hosted endpoint, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.

## Links

- Remote endpoint: https://gpueconomy.com/mcp
- Website: https://gpueconomy.com/mcp
- Changelog RSS feed: https://verifymcp.io/servers/laserodds21-gpu-prices/gpueconomy.xml
- Changelog JSON feed: https://verifymcp.io/servers/laserodds21-gpu-prices/gpueconomy/changelog.json
- Trust report (JSON): https://verifymcp.io/servers/laserodds21-gpu-prices/gpueconomy.json
- HTML version of this page: https://verifymcp.io/servers/laserodds21-gpu-prices/gpueconomy