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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)

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Details

External ID
1411433053
Source
GITHUB
Company
—
Product
mcd-points-actuary
Website domain
github.com
Launched
Oct. 9, 2026
Cohort
—
Upvotes
16
Upvotes percentile
0.30
Tags
actuary, coupon-optimization, loyalty-program, mcdonalds, mcp, model-context-protocol, points, python

Enrichment

Niche
MCP servers and agent skills
Vertical
Retail & commerce
Function
Workflow automation
Audience
B2C
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
deal and reward points optimizer for mcdonald's china
Manually corrected
False

Could you build this?

Yes This is a focused mathematical optimization script and decision-tool using the McDonald's China MCP/API to solve a linear utility function, easily vibe-coded in a few days.

Competitors

Other products that read as similar to this one — 79 launches clear the similarity bar, closest 8 shown.

Attention rank: #70 of 80 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 174 days after the earliest competitor.

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