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Compute Finance Oracle logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:10:39 PM

Compute Finance Oracle

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Live AI compute pricing oracle β€” real-time LLM model prices across providers

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "compute-finance-oracle": {
      "command": "npx",
      "args": [
        "-y",
        "@compute-finance/mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Documentation Overview

@compute-finance/mcp

npm version npm downloads license

Live AI compute pricing oracle β€” real-time LLM model prices across nine vendors (Anthropic, OpenAI, Google, DeepSeek, xAI and four more) via the Compute Finance Oracle.

A stdio MCP server. Works in any MCP client. Includes optional Claude Code skills for session cost analysis.

Quick start

Claude Code (recommended)

Terminal
npx @compute-finance/mcp setup

This single command:

  1. Registers the MCP server at user scope (claude mcp add)
  2. Installs Claude Code skills (/cf-session-management, /cf-session-consumption, /cf-active-sessions)
  3. Installs the cost hook β€” a UserPromptSubmit hook that injects session cost into Claude's context so every response can show how much you've spent

Restart Claude Code after setup.

Or register manually without skills/hook:

Terminal
claude mcp add --scope user compute-finance -- npx @compute-finance/mcp

Cursor / VS Code / Any MCP client

Add to your MCP config (.cursor/mcp.json, VS Code settings, etc.):

config.json
{
  "mcpServers": {
    "compute-finance": {
      "command": "npx",
      "args": ["@compute-finance/mcp"]
    }
  }
}

From source

bash
git clone https://github.com/compute-finance/mcp.git
cd mcp
npm install && npm run build
npx . setup

Tools

21 tools across five layers β€” no API key required. All tools are read-only.

Data (live oracle)

ToolDescription
data_get_basketEvery model in the current SCU index, with provider, family (e.g. openai.gpt, anthropic.claude), base_* and billed_* USD prices per million tokens, per-component cache pricing (read, write-5m, write-1h), a reasoning output price and the long-context price ladder
data_get_pricePrice for a single model (e.g. anthropic/claude-opus-4.8) β€” index members and catalog-only entries on identical terms, with the same per-component cache and reasoning prices and the long-context price ladder
data_get_scuCurrent Standard Compute Unit β€” value plus a methodology-versioned breakdown listing every family representative
data_get_breakdownPer-family blended-cost breakdown alone β€” methodology-versioned discriminated union with one entry per family representative
data_get_cpiFull Compute Price Index as last attested on-chain β€” scuUsd, revisionVersion, the raw and marked-up prices that revision published
data_get_reconstitutionsHistorical index changes β€” model swaps, SCU before/after
data_get_methodologyMethodology changelog β€” every version with its formula summary and spec link, plus the version in force
data_get_historySCU index time series over a date range β€” per-revision, daily, or weekly granularity; daily/weekly buckets carry the last revision's value forward across empty buckets
data_get_model_price_historyPer-model input/output USD price time series for any oracle-tracked model β€” same granularity semantics as data_get_history, with catchup gaps surfaced in unavailableRevisions
data_get_catalogEvery model with a recorded price, index members and non-index entries alike β€” indexMember flag, current price with its provenance pair, cache and reasoning components, and the raw upstream contextTiers / maxInputTokens
data_get_model_price_atPer-model input/output USD price effective at a timestamp β€” manifest source when the model represented its family in the revision active then, catalog otherwise
data_get_baselineFrozen SCU denominator behind computeIndex β€” the SCU of the first confirmed revision, set once and never recomputed
data_get_scu_atSCU value active at a timestamp via step function β€” no interpolation, null before the genesis revision

Models are identified by their canonical vendor-prefixed id β€” anthropic/claude-opus-4.8, openai/gpt-5.5, qwen/qwen-3.5-flash. Every tool taking a model also accepts the bare name (gpt-5.5) and answers with the canonical id. The vendor slug is not always the provider key (alibaba β†’ qwen, xai β†’ x-ai, moonshot β†’ moonshotai), so reuse an id the API returned rather than assembling one. data_get_scu, data_get_breakdown and data_get_reconstitutions are the exception: they pass the attested manifest through verbatim and so report bare model keys, because a / is not a legal manifest key.

Cache pricing comes from the Compute Finance Oracle. Session and consumption reports show effective (cache-aware) cost when the oracle has published the relevant cache components; otherwise they show nominal cost (input rate applied to every input variant) and label effective as unavailable for that model.

Alongside cache, the oracle publishes a reasoning output price β€” reasoning.reasoningOutput, on the same base as every other component; the whole reasoning block is null for a model with no usable reasoning price. It is catalogue data. Session and consumption reports do not bill it: Claude Code transcripts count thinking blocks rather than reasoning tokens, and those tokens are already inside output_tokens.

Every price is reported on two bases: base_* is the provider list price, identical for every model the oracle tracks, and billed_* is what compute.finance charges β€” base Γ— (1 + routing_fee_rate). Compare models on base_*, budget on billed_*. The rate ships once per response and billed_* is null when the oracle does not publish it. Session and consumption reports are on the base basis throughout.

Every current-price answer comes from one place: the live catalogue the exchange bills against. Index membership decides which models data_get_basket and compute_compare list, never what a model costs, so two models the catalogue prices alike quote alike. data_get_cpi is the exception by design β€” it serves the prices the latest on-chain revision attested, which change only when an operator publishes the next one and may therefore lag the catalogue. Read it as attestation history, not as a quote.

Some models get pricier past a context length. data_get_basket and data_get_price publish that as context_tiers, a ladder ascending by from_input_tokens and always at least one rung: the first starts at 0 and restates the flat rate, so a model priced the same at every size has exactly one rung and nothing has to branch on whether a model happens to be tiered. Rungs carry base_* and billed_* like every other price; only the flat rate enters the SCU index. compute_estimate and compute_compare pick the rung from the whole input side of the request β€” prompt plus cache reads plus cache writes, all charged at the full input rate there since neither tool applies a cache discount β€” over half-open ranges, so an input landing exactly on a threshold takes that rung, and both return the chosen rung as applied_context_tier so the rate behind the number is visible. data_get_catalog passes the oracle document through unchanged, so there contextTiers is absent rather than one-rung on a flat model.

The ladder comes from the catalog endpoint, and the two kinds of tool part ways whenever it cannot answer for a model β€” the read failed, or it succeeded and the model was not in it, which is upstream drift rather than a flat price. data_get_basket and data_get_price still serve their prices and set context_tiers to null β€” an unknown ladder, never a one-rung stand-in for a ladder nobody read. compute_estimate and compute_compare error instead: a cost quoted at the flat rate would understate exactly the long context the ladder exists to price.

max_input_tokens is the largest input a model accepts, null when the model declares no window of its own β€” not unbounded: the request-body ceiling still applies, there is just no per-model limit. Above a declared window the oracle refuses the request outright, so compute_estimate and compute_compare set exceeds_max_input_tokens. They still quote the cost: these tools are read-only and an agent sizing a context needs the number before it reshapes the request, but the flag says plainly that the request as supplied would be rejected.

Prices also carry a provenance mark saying how far the number has been checked: verified β€” an operator recorded a vendor source for it; inferred β€” derived from a sibling number or a vendor default, with no source recorded; promotional β€” a discounted list price that is expected to end. Every value bills as shown; the mark says how much to trust it, not what it costs. Marks are set by hand and hold as of the operator's last pass, not as a live check against the vendor. Every cache and reasoning component carries its own mark wherever it appears, and so does every base price: data_get_catalog marks currentPrice.provenance for every model, index member or not, while data_get_basket, data_get_price and compute_estimate carry the same pair as base_price_provenance. A rung follows the same rule: the first repeats the base price's mark, and a higher rung is always a catalogue number, marked in both directions with the single mark the vendor quotes it under. Session and consumption reports print each cache multiplier with its mark; when the oracle publishes no cache pricing for a model they say so and print no marks.

Compute

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Compute Finance Oracle

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "compute-finance-oracle": { "command": "npx", "args": ["-y", "Compute Finance Oracle"] } }

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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35Quality signal: Fair Β· 35/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity1/15
Community engagement0/10

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