# lzp76995-labb/mcd-fairbite > A group-ordering planner for McDonald's: given a shared budget and 2–6 people's tastes, it drafts one meal per person while checking both personal and shared budgets. Runs locally on Node.js and as a Skill via the official McDonald's MCP. - Magnitude: 2.9 out of 10 — Early signal - Stars: 122 total · +0 stars measured 2026-10-26, 00:12–02:17 UTC, ≈ 21 by evening - Star trust: star growth looks organic - Category: AI agents · Language: JavaScript · License: MIT · Created: 2026-10-23 · Last push: 2026-10-23 - GitHub: https://github.com/lzp76995-labb/mcd-fairbite · Page: https://gitnova.dev/en/r/lzp76995-labb/mcd-fairbite ## Useful for - Draft a 4-person order under a shared 88-yuan budget - Compare the fairness-first and lowest-price strategies on one menu - Verify the final order price through the official McDonald's MCP ## Why it’s here - Star-counter measurements on 2026-10-26 (UTC), 00:12–02:17: 122 → 122 stars (+0). This is the change over that interval. - Estimated end-of-day forecast: about +21 stars, using observed gains and the previous day. - The repository is 3 days old and already has 122 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #177. ## 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: 36 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 4 days (oldest → newest, today is partial) 2026-10-23 … 2026-10-26: 13, 83, 26, 0 ## Spotted in now - Top new repositories this week: #177 ## Similar by description 1. **jumpersun/meal-puzzle** — 1.7 · Steady · Apps · JavaScript · +0 stars measured 2026-10-26, 00:19–02:21 UTC, ≈ 17 by evening A JavaScript web app that collects the wishes of 1–6 people into a shared McDonald's order: it builds combos from the real menu via MCP, checks official pricing, and splits items across individual trays. Full card: https://gitnova.dev/en/r/jumpersun/meal-puzzle.md 2. **headmaster247/mcvalue-mate** — 4.5 · Early signal · AI agents · Python · +0 stars measured 2026-10-26, 00:15–02:16 UTC, ≈ 77 by evening A Python CLI that builds meal combinations from the live McDonald's China menu via the official MCP based on budget, party size and preferences, then verifies the real total price with calculate-price. Full card: https://gitnova.dev/en/r/headmaster247/mcvalue-mate.md 3. **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 4. **wusuaya/overtime-meal-buddy** — 3.8 · Early signal · Productivity & self-hosted · Python · +0 stars measured 2026-10-26, 00:18–02:16 UTC, ≈ 48 by evening A WorkBuddy Skill for office group meal ordering: it collects members' preferences, budgets and restrictions, compares McDonald's menu options via MCP, and splits the bill per item. Full card: https://gitnova.dev/en/r/wusuaya/overtime-meal-buddy.md 5. **xx20050823xx/McMate** — 3.9 · Early signal · AI agents · Python · +0 stars measured 2026-10-26, 00:12–02:16 UTC, ≈ 44 by evening McMate is a WorkBuddy Skill and standalone Python engine that helps you decide what to order at McDonald's: pick a store, party size and budget, and get within-budget set suggestions with official live menu and price data via the mcd-mcp… Full card: https://gitnova.dev/en/r/xx20050823xx/McMate.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.