- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- !No description
claude mcp add mcp -- npx -y @compute-finance/mcp{
"mcpServers": {
"mcp": {
"command": "npx",
"args": ["-y", "@compute-finance/mcp"]
}
}
}Resumen de MCP Servers
# @compute-finance/mcp
[](https://www.npmjs.com/package/@compute-finance/mcp)
[](https://www.npmjs.com/package/@compute-finance/mcp)
[](https://github.com/compute-finance/mcp/blob/main/LICENSE)
Live AI compute pricing oracle — real-time LLM model prices across providers (Anthropic, OpenAI, Google, xAI) via the [Compute Finance Oracle](https://compute.finance).
A stdio [MCP](https://modelcontextprotocol.io) server. Works in any MCP client. Includes optional Claude Code skills for session cost analysis.
## Quick start
### Claude Code (recommended)
```bash
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** — 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:
```bash
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.):
```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
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:
```json
{
"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.
## Links
- [Compute Finance](https://compute.finance)
- [Oracle API](https://api.compute.finance)
- [OpenAPI spec](https://api.compute.finance/v1/openapi.yaml)
- [npm package](https://www.npmjs.com/package/@compute-finance/mcp)
Lo que la gente pregunta sobre mcp
¿Qué es compute-finance/mcp?
+
compute-finance/mcp es mcp servers para el ecosistema de Claude AI con 0 estrellas en GitHub.
¿Cómo se instala mcp?
+
Puedes instalar mcp clonando el repositorio (https://github.com/compute-finance/mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar compute-finance/mcp?
+
Nuestro agente de seguridad ha analizado compute-finance/mcp y le ha asignado un Trust Score de 69/100 (tier: OK). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene compute-finance/mcp?
+
compute-finance/mcp es mantenido por compute-finance. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega mcp en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/compute-finance-mcp)<a href="https://claudewave.com/repo/compute-finance-mcp"><img src="https://claudewave.com/api/badge/compute-finance-mcp" alt="Featured on ClaudeWave: compute-finance/mcp" width="320" height="64" /></a>Más MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
The fastest path to AI-powered full stack observability, even for lean teams.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。