MCP server

Compute Screener Official

com.computescreener/compute-screener

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Free compute prices: GPU rental indices, compute futures and AI token prices, with daily history.

Website

At a glance

Type

MCP server

Publisher

computescreener.com (verified by the MCP Registry)

Status

Working at last check

Tools

14

Token cost

About 2,703 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http compute-screener https://computescreener.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.compute-screener]
url = "https://computescreener.com/mcp"

Gemini CLI

{"mcpServers":{"compute-screener":{"httpUrl":"https://computescreener.com/mcp"}}}

Cursor

{"mcpServers":{"compute-screener":{"url":"https://computescreener.com/mcp"}}}

VS Code

{"servers":{"compute-screener":{"type":"http","url":"https://computescreener.com/mcp"}}}

Antigravity

agy mcp add compute-screener https://computescreener.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"compute-screener","server_url":"https://computescreener.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"compute-screener","server_url":"https://computescreener.com/mcp"}

Tools

• fetch ~117 tokens
  The full text of a result from search, by its id (gpu:H100, company:OpenAI, model:<page>, provider:<page>, page:methodology, page:futures, page:verification): prices, changes, history, providers or models, as on the site.
• get_data_status ~111 tokens
  How fresh the data is, as the status page shows it: when the GPU and token indices were last calculated, today's index day, each GPU price source's status and last read, each GPU index's status, provider count and imputed share, and the latest days with a manifest.
• get_gpu_market_prices ~232 tokens
  Rental prices of every other GPU, as the site's Every GPU page lists them (https://computescreener.com/gpus): RTX 5090, RTX 4090, RTX 6000 Ada, L40, A40, L4, GH200, V100 and over 60 more, each one's lowest and median price per GPU-hour today as posted (offers that can be rented now), its offers, how
• get_gpu_price_at ~204 tokens
  A GPU's index price at a past date or time, as its page's chart draws it: the value calculated at or just before an ISO time within the last few days (the 1D and 5D charts; prices are recalculated every minute, kept at least every 30 minutes), else the daily value of that US Central day.
• get_gpu_prices ~290 tokens
  Today's GPU rental prices: the price index in USD per GPU-hour for each GPU (H100, H200, A100, B200, B300, RTX PRO 6000), with 1-day, 1-week and 1-month changes, the index day and a link to each GPU's page. Give one GPU to also get what its page shows: its benchmark contract, each provider's average
• get_model_prices ~213 tokens
  Each AI model's posted API prices in USD per 1M input and output tokens and their blend (the models behind the token index, each with its page), with its usage share and its 1-month change. Give a model (name or page id, e.g. "Claude Opus 5.5" or "kimi-k3") for its daily price history as its page's
• get_price_changes ~141 tokens
  What moved, as the site's changes show it: every listed GPU and company index's change over 1, 5, 7 or 30 days (the site's 1D, 5D, 1W and 1M), largest first, and every AI model whose price (its 3 input : 1 output blend, as its page charts it) moved over that time.
• get_price_history ~208 tokens
  Price history of one GPU (USD per GPU-hour) or one AI company (USD per 1M tokens), oldest first. GPU history is daily from 2025-11-07 for H100 and A100 and from 2026-10-23 for the others, weekly before; token history is daily from 2025-01-01.
• get_provider_prices ~198 tokens
  Each GPU cloud's and marketplace's posted on-demand prices per GPU, as its page on the site shows them (lowest and highest that day, as posted, with the configuration of the lowest) and its average in the index, standardized to the GPU's benchmark contract so providers compare like for like. Give a
• get_token_prices ~190 tokens
  Today's AI token prices by company: each company's price index in USD per 1M tokens (3 input : 1 output blend, weighted by its models' usage), with 1-day, 1-week and 1-month changes. Give one company to also get its models' usage shares and posted input and output prices. For one model's prices use
• get_workload_cost ~320 tokens
  Break-even throughput, as each GPU's and each model's page shows it: the tokens per second one GPU must sell at a model's posted price (3 input : 1 output blend) to cover the GPU's rental price today. Give a GPU for every model on it, a model for every GPU, or a company for its models; give a throug
• list_indices ~128 tokens
  Every GPU rental index and AI company token index the site lists: whether it is listed (has a price and a month of history), its latest value and day, when its history starts, its provider or model count, its benchmark contract (GPUs) and its page, and the GPUs on the Every GPU page. Use it to see w
• search ~108 tokens
  Search Compute Screener's GPUs, AI companies, AI models, GPU providers and methodology by keyword (e.g. "H100", "Claude Opus", "CoreWeave", "benchmark contract"). Returns ids for fetch.
• verify_price ~243 tokens
  How a published daily value can be checked: whether it is final, and for a final day its manifest (every file it was computed from with its SHA-256, the factors in force, the calculation code's SHA-256 and the final values) and the command that recomputes it from the public files with the published

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