MCP 服务器

@compute-finance/mcp

Provides real-time AI compute pricing and cost analysis across LLM providers, enabling session cost tracking, model price comparisons, and historical data queries.

README

@compute-finance/mcp

Live AI compute pricing oracle — real-time LLM model prices across providers (Anthropic, OpenAI, Google, xAI) 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)

npx @compute-finance/mcp setup

This single command:

Registers the MCP server at user scope (claude mcp add)
Installs Claude Code skills (/cf-session-management, /cf-session-consumption, /cf-active-sessions)
Installs the cost hook — 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:

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.):

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

From source

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

Tools

17 tools across five layers — no API key required. All tools are read-only.

Data (live oracle)

Tool	Description
`data_get_basket`	All models with provider, family (e.g. `openai.gpt`, `anthropic.claude`), USD prices per million tokens, and per-component cache pricing (read, write-5m, write-1h) with provider attribution
`data_get_price`	Price for a single model (e.g. `claude-opus-4.7`)
`data_get_scu`	Current Standard Compute Unit — value plus a methodology-versioned `breakdown` listing every family representative
`data_get_breakdown`	Per-family blended-cost breakdown alone — methodology-versioned discriminated union with one entry per family representative
`data_get_cpi`	Full Compute Price Index — basket with `scuUsd`, version, raw/marked-up prices
`data_get_reconstitutions`	Historical basket changes — model swaps, SCU before/after
`data_get_methodology`	Methodology changelog — every version with its formula summary and spec link, plus the version in force
`data_get_history`	SCU index time series over a date range — `per-revision`, `daily`, or `weekly` granularity; daily/weekly buckets carry the last revision's value forward across empty buckets
`data_get_model_price_history`	Per-model input/output USD price time series for a model that has appeared in the SCU basket — same granularity semantics as `data_get_history`, with catchup gaps surfaced in `unavailableRevisions`

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.

Compute

Tool	Description
`compute_estimate`	Nominal USD cost for a model given input/output token counts
`compute_compare`	Rank all basket models by cost for a workload, grouped by family

Render (Claude Code skills)

Tool	Description
`render_session_report`	Pre-formatted session cost report — used by `/cf-session-management`
`render_consumption_report`	Pre-formatted per-inference breakdown — used by `/cf-session-consumption`
`render_active_sessions`	Overview of recent sessions across projects — used by `/cf-active-sessions`

Reports surface three orthogonal counts: prompts (what you typed), inferences (assistant replies — tool-loop sessions produce several per prompt), and tool calls (tool_use blocks). The triplet is identical across all three reports for the same session.

Analysis

Tool	Description
`analyze_session`	Raw JSON session analysis (for custom UI, not skills)
`analyze_inferences`	Raw JSON per-inference breakdown (for custom UI, not skills)

History

Tool	Description
`telemetry_get_history`	Aggregate stats across logged sessions — cumulative cost, per-profile medians, insights

Cost hook

The setup command installs a UserPromptSubmit hook into ~/.claude/settings.json. Every time you send a message, the hook reads the current session transcript, prices it against the live oracle, and injects a cost summary into Claude's context via additionalContext. Claude then appends a 💰 Compute.Finance · … line at the end of its response.

Guards — the hook fires only when all three conditions are met:

Session cost exceeds $1
Session has at least 5 user prompts
At least 10 minutes since the last fire (per session)

On any failure (oracle down, transcript missing, parse error) the hook exits silently — it never blocks your prompt.

Manual installation

If setup can't write to settings.json, add the hook manually:

{
  "hooks": {
    "UserPromptSubmit": [
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "npx @compute-finance/mcp hook-prompt"
          }
        ]
      }
    ]
  }
}

Uninstall

Remove the UserPromptSubmit entry from ~/.claude/settings.json.

Privacy

All data stays on your machine. The only network calls are unauthenticated GETs to api.compute.finance/v1/oracle/*. Session logs (~/.compute-finance/sessions.jsonl, ~/.compute-finance/inferences.jsonl) are never uploaded.