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麦当劳点餐 Skill：说一句「35 元、不辣、去冰」→ 一个答案 + 一张可复制的点单卡，金额只认官方 calculate-price 当次核价（同店同时刻 单品直选 ¥48.50 vs 三件套 ¥36.50，省 ¥12.00/24.7%）。不领券、不下单、不收集 Token；零依赖 Python，免登录网页打开就是答案。
mcd-agent-gourmet is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 58/100. 麦当劳点餐 Skill：说一句「35 元、不辣、去冰」→ 一个答案 + 一张可复制的点单卡，金额只认官方 calculate-price 当次核价（同店同时刻 单品直选 ¥48.50 vs 三件套 ¥36.50，省 ¥12.00/24.7%）。不领券、不下单、不收集 Token；零依赖 Python，免登录网页打开就是. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding mcd-agent-gourmet to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/polaris-smart/mcd-agent-gourmet.gitReview the upstream source before running this command.
Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "polaris-smart/mcd-agent-gourmet"
}麦当劳点餐 Skill：说一句「35 元、不辣、去冰」→ 一个答案 + 一张可复制的点单卡，金额只认官方 calculate-price 当次核价（同店同时刻 单品直选 ¥48.50 vs 三件套 ¥36.50，省 ¥12.00/24.7%）。不领券、不下单、不收集 Token；零依赖 Python，免登录网页打开就是答案。