# xiaozhangup/Oh-My-McDonald > A conversation-driven AI Skill built on McDonald's official MCP that handles meal recommendations, store price comparison, coupon lookup, nutrition calculation and exploration records, using Python to render voxel-style share images. - Magnitude: 4.0 out of 10 — Early signal - Stars: 123 total · +7 stars measured 2026-10-26, 00:12–02:16 UTC, ≈ 54 by evening - Star trust: star growth looks organic - Category: Apps · Language: Python · License: MIT · Created: 2026-10-24 · Last push: 2026-10-24 - GitHub: https://github.com/xiaozhangup/Oh-My-McDonald · Page: https://gitnova.dev/en/r/xiaozhangup/Oh-My-McDonald ## Useful for - Pick a meal by budget and taste in a chat and get candidates from real MCP data - Compare the price of the same product across up to three stores - Check today's available coupons and recent campaigns ## Why it’s here - Star-counter measurements on 2026-10-26 (UTC), 00:12–02:16: 116 → 123 stars (+7). This is the change over that interval. - Estimated end-of-day forecast: about +54 stars, using observed gains and the previous day. - The repository is 2 days old and already has 123 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #172. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 0 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 59 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 5 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-24 … 2026-10-26: 72, 51, 7 ## Spotted in now - Top new repositories this week: #172 ## Similar by description 1. **tian1326/mcd-coupon-assistant** — 3.0 · Early signal · AI agents · Python · +0 stars measured 2026-10-26, 00:12–02:18 UTC, ≈ 18 by evening A WorkBuddy Skill built on the official McDonald's China MCP service: it finds nearby stores and available coupons, then calculates the real price of an order with coupons to suggest the cheapest option. It does not place orders or claim… Full card: https://gitnova.dev/en/r/tian1326/mcd-coupon-assistant.md 2. **Sam-Hui-dot/mcd-budget-meal** — 2.4 · Peaking · AI agents · HTML · +5 stars measured 2026-10-26, 00:15–02:19 UTC, ≈ 117 by evening · unusual star pattern (heuristic) A Skill for AI clients that uses the official McDonald's China MCP to pick meals within a set budget: it checks the chosen store's menu and coupons, prices up to three candidates, and shows the remaining budget. Aimed at single-person… Full card: https://gitnova.dev/en/r/Sam-Hui-dot/mcd-budget-meal.md 3. **Ayzzz123/mcd-coupon-strategist** — 1.6 · Cooling · AI agents · Python · +0 stars measured 2026-10-26, 00:21–02:21 UTC, ≈ 23 by evening A McDonald's MCP skill that finds the cheapest order at the current store using real price calculation, and separately quantifies the silent cost of expiring coupons plus spending history. Full card: https://gitnova.dev/en/r/Ayzzz123/mcd-coupon-strategist.md 4. **xanthichi/mcd-meal-mate** — 4.0 · Early signal · AI agents · TypeScript · +4 stars measured 2026-10-26, 00:12–02:16 UTC, ≈ 46 by evening A McDonald's meal-planning Skill: given city, budget, calorie cap and protein goal, it picks three combos from the live menu via MCP, with prices, nutrition and coupons. Full card: https://gitnova.dev/en/r/xanthichi/mcd-meal-mate.md 5. **LittleChest/mcd-withwork-skills** — 3.2 · Early signal · AI agents · HTML · +1 star measured 2026-10-26, 00:12–02:17 UTC, ≈ 24 by evening A WorkBuddy Skill built on McDonald's China official MCP: helps pick a meal around your work rhythm, shows real prices, discounts and nutrition, and after ordering generates a non-judgmental care summary. Full card: https://gitnova.dev/en/r/LittleChest/mcd-withwork-skills.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-26 02:26 UTC, updated every 30 minutes.