mcd-mcp-server: McDonald's China MCP Server Integration Guide

by M-China · MCP Server · ★ 144

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Security audit verdict: SAFE · quality 61/100

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.

mcdonaldsmcpmcp-server

Quick Facts

Stars144
Forks6
CategoryMCP Server
Quality Score61/100
Open Issues11
Last Updated2026-10-01
Created2025-12-26
Platformsmcp
Est. Tokens~23k

About mcd-mcp-server

简体中文 | English 介绍 什么是麦当劳 MCP 服务? 麦当劳 MCP 服务是一个遵循 Model Context Protocol(MCP)标准的数据交互接口服务,由麦当劳中国提供,面向中国大陆地区(不含港澳台)使用。 麦当劳MCP服务现已覆盖麦乐送点餐、到店取餐、团餐、积分兑换券、活动日历查询等业务场景。更多实用工具正在持续开发上线。 新闻 [2026-05] : 我们新增了"积分兑换实物商品"、"商城订单查询"等工具,并支持得来速(Drive-Through)车道取餐场景下单及全部点餐场景的预约功能。查看工具详情 [2026-04] : 我们上线了"到店取餐"与"团餐"场景的点餐能力,新增了附近门店查询工具,并对多个点餐工具进行了升级以支持多场景下单。查看工具详情 [2026-02] :...

mcd-mcp-server alternative? Top 2 similar tools

Looking for a mcd-mcp-server alternative? If you're comparing mcd-mcp-server with other mcp server tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • mcd-saver-strategist by hujjun · ⭐ 675

    麦当劳省钱点餐助手(麦门精算师)|麦当劳优惠券组合优化 Skill:拉取麦当劳菜单与全部可用优惠券,算出最省的点餐组合,巨无霸套餐 ¥47 → ¥21.9(省 53%)。McDonalds MCP(麦当劳 MCP)cou

  • mcd-event-radar by Zafer-Liu · ⭐ 54

    麦当劳 MCP Agent Skill:查「附近有什么麦麦活动」,生成卡通活动地图——门店位置取自官方经纬度,只展示已核实可预约场次 🍟

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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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