Compute Screener MCP server

• Registry namecom.computescreener/compute-screenerverified in the MCP registry

The registry name sits under computescreener.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-10-29
• Tools14
• Server calls itselfcomputescreener
• Server version1.16.1
• Protocol version2025-06-18

On 2026-10-29 the server answered initialize and tools/list without a sign-in. First answer in 730 ms.

• Its tools do every use case we checked: compare hourly on-demand GPU rental prices across providers; track AI token prices by model and lab.
• Checked on 5 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

• INITE MCP scoreafter a weeka score needs 7 daily checks: 5 so far
• What an agent can do with it2 of 2 use cases
• Answeredmeasuring5 of the 7 daily checks it takes to print a share
• Median first answer666 ms
• Space in an agent's context≈ 2,921 tokensthe definitions of all its tools (14), which an agent carries on every turn
• Tool definitionsA · 100 of 100
• Typed results14 of 14 toolsdeclared outputSchema: results come typed, read once

• Every tool passes all six checks.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

• get_gpu_prices

  Today's GPU rental prices: the price index in USD per GPU-hour for each GPU (H100, H200, A100, B200, B300, RTX PRO 6000, L40S, RTX A6000), with 1-day, 1-week and 1-month changes, the index day and a link to each GPU's page. Give one GPU…

• get_token_prices

  Today's AI token prices by company: each company's price index in USD per 1M tokens at the mix of tokens agents send (87% cache read, 12% input, 1% output), weighted by its models' usage, with 1-day, 1-week and 1-month changes. Give one…

• get_price_history

  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…

• get_model_prices

  Each AI model's posted API prices in USD per 1M input, cached input and output tokens and its price at the mix of tokens agents send (the models behind the token index and the Intelligence Index chart's, each with its page), with its…

• get_provider_prices

  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…

• get_price_changes

  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 (at the mix, as its page charts it) moved over…

• get_gpu_market_prices

  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…

• get_gpu_price_at

  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…

• get_workload_cost

  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 list price (3 input : 1 output) to cover the GPU's rental price today. Give a GPU for every model on it, a model for…

• list_indices

  Every GPU rental index and AI company token index the site lists: whether it is listed (has a price, a month of history and a value for each of its 1-day, 1-week and 1-month changes), its latest value and day, when its history starts, its…

• verify_price

  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…

• get_data_status

  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…

• search

  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.

• fetch

  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) or the page's address: prices, changes, history, providers or models, as on the…