MCP server

corpusAI Cloud Pricing

io.github.JTraversa/corpus-cloud-pricing-mcp

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

Cloud, GPU and LLM token prices with index fixings. Pay per call over x402 or with a prepaid key.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

35

Token cost

About 8,249 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 corpus-cloud-pricing-mcp https://cloud.trycorpus.ai/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.corpus-cloud-pricing-mcp]
url = "https://cloud.trycorpus.ai/mcp"

Gemini CLI

{"mcpServers":{"corpus-cloud-pricing-mcp":{"httpUrl":"https://cloud.trycorpus.ai/mcp"}}}

Cursor

{"mcpServers":{"corpus-cloud-pricing-mcp":{"url":"https://cloud.trycorpus.ai/mcp"}}}

VS Code

{"servers":{"corpus-cloud-pricing-mcp":{"type":"http","url":"https://cloud.trycorpus.ai/mcp"}}}

Antigravity

agy mcp add corpus-cloud-pricing-mcp https://cloud.trycorpus.ai/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":"corpus-cloud-pricing-mcp","server_url":"https://cloud.trycorpus.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"corpus-cloud-pricing-mcp","server_url":"https://cloud.trycorpus.ai/mcp"}

Tools

• attestations ~160 tokens
  Free. Daily on-chain attestations of the fixing set. One record per store day: the keccak256 of the day's signed fixings file (served at /attest/<day>.json), the Ethereum Attestation Service UID and transaction on Base (eip155:8453), the publisher address and the schema UID. Re-hash the file bytes a
• azure_eviction ~271 tokens
  Paid (0.01 USDC per call). Azure spot eviction-rate history (28-day buckets, sampled daily). Daily samples of the eviction-rate bucket Azure reports per SKU (`0-5`, `5-10`, `10-15`, `15-20`, `20+` percent over the trailing 28 days). Collected daily since 2026-09-05; there is no history before the fi
• capacity_board ~96 tokens
  Paid (0.10 USDC per call). Every GPU model's capacity stress score for one day, tightest first.
• capacity_headline ~120 tokens
  Free. Capacity stress score per GPU model for the latest day, score only. Rounded score from 0 (slack) to 100 (tight) per GPU with at least two signals, tightest first, cached ten minutes. The components and their inputs are in the paid /capacity/stress and /capacity/board.
• capacity_history ~129 tokens
  Paid (0.05 USDC per call). Daily capacity stress scores for one GPU model.
• capacity_stress ~238 tokens
  Paid (0.01 USDC per call). Capacity stress score, 0 (slack) to 100 (tight), for one GPU model on one day, with every component. Mean of the components available that day: availability (share of Shadeform and Lambda listings flagged available), ionet (deployable ÷ total units on io.net regional SKUs)
• catalog ~148 tokens
  Free. Providers, regions, coverage window and event counts. One row per (provider, region) with raw-event coverage (instance types, events, first/last event) and legacy-history coverage (daily and monthly date ranges), plus `sources`, the legend explaining every `source` value returned by /spot/dail
• gpu_index ~310 tokens
  Paid (0.05 USDC per call). Daily USD per GPU-hour index per provider and market for one GPU model, with hyperscaler spot legs. For each snapshot day and (provider, market): number of quotes and the lowest, median, mean and highest USD per GPU-hour. Rows with provider `aws-spot` or `gcp-spot` are com
• gpu_models ~123 tokens
  Free. GPU models with rental quotes, and which providers quote them. Normalized model names (use verbatim as `gpu`), number of providers quoting each, quote counts, first/last snapshot day, the lowest observed USD per GPU-hour, and which hyperscaler spot instance families map to the model.
• gpu_quotes ~383 tokens
  Paid (0.01 USDC per call). Latest rental quotes for one GPU model across neo-clouds, marketplaces and other clouds. One row per quote in each provider's latest daily snapshot: provider, market (`ondemand`, `spot` = interruptible, `bid` = marketplace minimum bid, `secure`/`community` = RunPod tiers),
• gpu_snapshot ~85 tokens
  Paid (0.10 USDC per call). Every GPU model × provider × market: lowest and median USD per GPU-hour in the latest snapshot, plus hyperscaler spot per region.
• health ~99 tokens
  Free. Liveness and store readiness. Returns 200 whenever the server is up. `ready` is false while the store is still ingesting after a restart; paid endpoints answer 503 (and take no payment) until it is true.
• index_board ~92 tokens
  Paid (0.10 USDC per call). Every ticker's fixing for one day in one call.
• index_fixing ~247 tokens
  Paid (0.01 USDC per call). One day's fixing for a ticker: median USD per GPU-hour of eligible quotes, with low, high and count. Quote segments (MKT, AGG, NEO, INT, EXE, HYP) fix from that day's snapshots; the default day is the latest snapshot. SPOT fixes from the full UTC day of spot events, so the
• index_history ~206 tokens
  Paid (0.05 USDC per call). Daily fixings for a ticker over a date range. Quote segments start 2026-09-13. SPOT tickers reach back to the start of the spot series (AWS daily from 2022-05-31 for A100, V100, T4, A10; from 2023-07 for H100), each row carrying its data source.
• index_tickers ~101 tokens
  Free. Every index ticker, its segment and definition. Tickers are CX.<MODEL>.<SEGMENT> (for example CX.H100SXM.NEO) or CX.<MODEL>.SPOT.<REGION>. Includes the segment membership lists and the methodology version.
• instances ~280 tokens
  Free. Instance types available in a region. Exact type names with per-type coverage: raw events (`events`, `first_event`, `last_event`; zero/null for types that only exist in the legacy history) and legacy history ranges (`history_daily_from/to`, `history_monthly_from/to`). Optional `prefix` narrows
• ondemand ~359 tokens
  Paid (0.01 USDC per call). On-demand list-price history of one instance type. Change-point series: one row per day the on-demand (pay-as-you-go) hourly list price changed; `current` is the price in force. AWS: Linux, shared tenancy, from the AWS Price List API, refreshed weekly, since 2024-01 (every
• ondemand_snapshot ~185 tokens
  Paid (0.10 USDC per call). Current on-demand list price of every instance type in a region.
• reserved ~461 tokens
  Paid (0.01 USDC per call). Reserved / reservation price history of one instance type (AWS standard RIs 1y/3y no-upfront/all-upfront; Azure reservations 1y/3y). Effective hourly USD with any upfront amortized over the term, as change-point series per `ri_type` (`ri_1y_no_upfront_standard`, `ri_1y_all
• reserved_snapshot ~169 tokens
  Paid (0.10 USDC per call). Current reserved effective hourly price of every instance type and ri_type in a region (AWS or Azure).
• spot_daily ~457 tokens
  Paid (0.05 USDC per call). Full daily history for one instance type, all eras stitched. One row per UTC day from the earliest data for the type to now. Rows dated before the type's first raw event come from the legacy history (`source` = `pauley`: measured 2022-05 to 2024-01 AWS, open/high/low/close
• spot_events ~526 tokens
  Paid (0.01 USDC per call). Raw spot price-change events for one instance type. Every price change for the type in the window, with exact timestamp, availability zone and product (OS). Sorted by time. Repeated identical prices are dropped by default (`include_repeats=true` keeps them). Up to `limit`
• spot_hourly ~368 tokens
  Paid (0.01 USDC per call). Hourly time-weighted OHLC bars for one instance type. Per-zone series are bucketed by UTC hour with time weighting (a price counts for as long as it was in force), then collapsed across zones: open/close/avg are the median across zones, high is the max, low is the min. Win
• spot_latest ~333 tokens
  Paid (0.01 USDC per call). Price currently in force per zone and product for one instance type. The most recent event of every (zone, product) series of the type, with its timestamp and age. A price is only meaningful while the provider still offers the type; AWS series older than ~10 days are likel
• spot_monthly ~532 tokens
  Paid (0.05 USDC per call). Full monthly history for one instance type, back to 2014 for legacy AWS types. Calendar months from the earliest data to now. `months` is the curated series: `uscisi-adjusted` months (2017 to 2022-04, AWS types with a stable correction factor, average only), then months ro
• spot_snapshot ~264 tokens
  Paid (0.10 USDC per call). Current price of every instance type, zone and product in a whole region, in one call. Bulk snapshot: the most recent event of every series in the region (about 6,000 rows for an AWS region), with timestamp and age per row. Same semantics as /spot/latest. Priced higher bec
• status ~100 tokens
  Free. Freshness of every data source. Per source: last successful snapshot or event, staleness in days, and the public URL it is read from. Use it to decide whether a fixing or quote is current before paying for it.
• term ~233 tokens
  Paid (0.05 USDC per call). Term structure per hyperscaler for one GPU model, USD per GPU-hour: spot, on-demand, 1y, 3y. For each hyperscaler with a mapped instance family (see /gpu/models hyperscaler_spot_legs), the median across regions of each term's price divided by GPUs per node, with lo/hi acro
• term_instance ~360 tokens
  Paid (0.01 USDC per call). Price ladder for one instance type: spot, on-demand, 1-year and 3-year commitments, with discounts. Current prices from our series: spot median across zones (where spot events exist), on-demand list price, and reserved/reservation terms as effective hourly with upfront amo
• tokens_board ~100 tokens
  Paid (0.10 USDC per call). Every model's input, output and blended fixing for one day, plus the frontier basket.
• tokens_fixing ~224 tokens
  Paid (0.01 USDC per call). One day's token price fixing for a ticker such as CX.TOK.CLAUDESONNET5.IN. Median across every source and host at the standard tier (batch and free variants excluded). `.IN` and `.OUT` are input and output USD per million tokens; `.BLEND` is (3·input + output) / 4. `CX.TOK
• tokens_history ~138 tokens
  Paid (0.05 USDC per call). Daily fixings for a token ticker, from the first snapshot (2026-09-14).
• tokens_models ~131 tokens
  Free. Every LLM with a token price fixing, its ticker codes and today's price range. Canonical model slugs (for example `claude-sonnet-5`, `gpt-6-astra`, `llama-4-maverick`), their ticker codes, how many sources and hosts list them, and the min/max input and output price seen today. Also lists the f
• tokens_quotes ~221 tokens
  Paid (0.01 USDC per call). Every listed price for one model on one day: each source and hosting provider, USD per million tokens. Rows from the OpenRouter catalog, OpenRouter per-host endpoints (Azure, Amazon Bedrock, Google, Together, DeepInfra, …), the LiteLLM price table and DeepInfra. Includes c

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