mcd-coupon-strategist: 麦麦省钱助手 —— 基于麦当劳 MCP 的点餐成本优化 Skill。算出当前门店最省钱的点餐方案,并主动提示凑单陷阱

by Ayzzz123 · MCP Server · ★ 737

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars737
Forks21
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score65/100
Last Updated2026-10-21
Created2026-10-10
Platformsmcp, python
Est. Tokens~15k

About mcd-coupon-strategist

市面上的省钱工具都在回答「这一单怎么点最省」。 我们多回答一个问题:「你正在白扔多少钱?」 核心亮点 · 真实例子 · 快速开始 · 架构 · 设计原则 基于麦当劳中国 MCP 打造的点餐成本助手,做两件事: 短期 —— 这一单怎么点最省 拉取当前门店的实时菜单与价格 拉取你账户里当前门店可用的优惠券 枚举「单品 / 套餐 / 券组合 / 加购凑单」的候选方案 用 MCP 的 逐方案真实计价(而不是猜) 输出最省钱的方案,以及为什么不推荐更便宜但吃不饱的选项 长期 —— 你白扔了多少钱 券的沉默成本:你手里有几张券即将过期?那就是正在流失的钱 消费习惯画像:近 N 个月花了多少、客单价是否偏高、哪些单品该改成套餐 数据来自 历史订单 + 券存量 一个真实例子 同一个账号,同一个门店,两种问法: 问「今天怎么点最省」 →

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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