技能潮 SkillTide 提交收录
官方说明7 个来源MCP 服务8 天前
pich/ai-economics-mcp

pich/ai-economics-mcp

AI economics calculators: token co
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add ai-economics-mcp -- npx -y ai-economics-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · pich/ai-economics-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 pich/ai-economics-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

ai-economics-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**MCP server for AI economics.** Gives Claude, Cursor and any MCP client 12 calculators for
the questions that decide AI budgets: what tokens cost, what queries burn, and whether agent
work can be proven.
Listed in the official MCP Registry as **pl.piszczek/ai-economics** (domain-verified). Wraps the free piszczek.pl/tools API — no key, no sign-up,
stateless (inputs are never stored). The math is the same as the interactive calculators.
Install
**Claude Desktop / Claude Code** (claude_desktop_config.json / .mcp.json):
**Claude Code one-liner:**
Tools
| Tool | Answers |
|---|---|
| token_cost | What do 1M tokens cost per month across GPT, Claude, Gemini, DeepSeek? |
| context_window | How many tokens is 50 pages, does it fit, what does carrying it cost? |
| agent_hour | What does one hour of an AI agent cost, fully loaded with verification? |
| model_routing | How much does routing to a cheaper tier save per year? |
| llm_energy | How much electricity does an AI query use? |
| joules_per_verified_task | Which model is most efficient per task that actually passes? |
| token_burn | What does org-wide token burn cost in money, kWh, CO₂? |
| humanoid_energy | How long can a humanoid robot run per charge? |
| proof_adjusted_autonomy | How autonomous is a "90% autonomous" agent once proof is required? |
| revocation_exposure | How long does a revoked token keep working across your stack? |
| verification_bottleneck | How many AI agents can a human review team absorb? |
| proof_debt | What does unverified AI work cost over time? |
All parameters are optional; defaults mirror the interactive calculators. Every response
includes result, formula, interpretation and a ready-to-quote cite_as sentence.
Example
> **You:** how autonomous is our agent really? it completes 90% alone, evidence for 95%,
> 80% independently validated, 90% on time
>
> **Claude** (calls proof_adjusted_autonomy): PAA = 61.6% — supervised autonomy. The gap
> vs the claimed 90% is 28.4 pp, and the biggest lever is independent validation…
Configuration
| Env var | Default | Purpose |
|---|---|---|
| AI_ECONOMICS_API | https://piszczek.pl/tools/api | Point at a self-hosted instance |
Glama builds and releases
Glama generates its own Dockerfile from the
build configuration.
Use these settings:
- Build steps: ["npm ci --omit=dev"]
- CMD arguments: ["mcp-proxy", "--", "node", "index.js"]
- Environment variables: optional AI_ECONOMICS_API; no credentials required.
This is plain JavaScript: there is no build script or compilation step. Do not use
pnpm run build or npm run build. After syncing the repository, build the selected
来源
awesome · https://github.com/pich/ai-economics-mcp
按领域浏览
MCP 服务
Traction
1 ★
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引