# xx20050823xx/McMate > 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 MCP server. - Magnitude: 3.9 out of 10 — Early signal - Stars: 123 total · +0 stars measured 2026-10-26, 00:12–02:16 UTC, ≈ 44 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · Created: 2026-10-24 · Last push: 2026-10-24 - GitHub: https://github.com/xx20050823xx/McMate · Page: https://gitnova.dev/en/r/xx20050823xx/McMate ## Useful for - Compose a McDonald's meal set within a fixed budget for a given number of people using live menu data. - Run the CLI engine offline against a saved menu JSON with budget, people and dietary exclusions. - Wrap an MCP store-order tool into a multi-step decision flow for an agent skill. ## Why it’s here - Star-counter measurements on 2026-10-26 (UTC), 00:12–02:16: 123 → 123 stars (+0). This is the change over that interval. - Estimated end-of-day forecast: about +44 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: #173. ## 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: 56 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-24 … 2026-10-26: 68, 55, 0 ## Spotted in now - Top new repositories this week: #173 ## Similar by description 1. **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 2. **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 3. **linghuchong6668/mcd-optimizer** — 0.0 · Steady · Apps · Python · Not enough measurements today A Python skill that finds the optimal McDonald's order under budget, calorie, headcount and dietary constraints, pulling real menu, price, nutrition and coupon data via the McDonald's MCP Server. It does not place orders, but returns… Full card: https://gitnova.dev/en/r/linghuchong6668/mcd-optimizer.md 4. **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 5. **lzp76995-labb/mcd-fairbite** — 2.9 · Early signal · AI agents · JavaScript · +0 stars measured 2026-10-26, 00:12–02:17 UTC, ≈ 21 by evening 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. Full card: https://gitnova.dev/en/r/lzp76995-labb/mcd-fairbite.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.