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麦麦积分精算师 — 基于麦当劳中国 MCP，把「渠道费 / 券叠加 / 积分机会成本」统一折算到一个目标函数「到手成本 = 现金 + 积分 × 影子价格」，回答同一份订单在到店自取、麦乐送、美团、饿了么哪边到手最便宜、该叠哪几张券、要不要动积分；并给出积分价值矩阵（同积分价值差 13 倍）、抽奖期望值边界与到期止损方案（麦当劳程序员创意开发大赛参赛作品）
mcd-points-actuary is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 58/100. 麦麦积分精算师 — 基于麦当劳中国 MCP，把「渠道费 / 券叠加 / 积分机会成本」统一折算到一个目标函数「到手成本 = 现金 + 积分 × 影子价格」，回答同一份订单在到店自取、麦乐送、美团、饿了么哪边到手最便宜、该叠哪几张券、要不要动积分；并给出积分价值矩阵（同积分价值差 13 倍）、抽奖期望值边界与到期止损方案. 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-points-actuary to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/akexin/mcd-points-actuary.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": "akexin/mcd-points-actuary"
}麦麦积分精算师 — 基于麦当劳中国 MCP，把「渠道费 / 券叠加 / 积分机会成本」统一折算到一个目标函数「到手成本 = 现金 + 积分 × 影子价格」，回答同一份订单在到店自取、麦乐送、美团、饿了么哪边到手最便宜、该叠哪几张券、要不要动积分；并给出积分价值矩阵（同积分价值差 13 倍）、抽奖期望值边界与到期止损方案（麦当劳程序员创意开发大赛参赛作品）