# Syenzzz/mcd-coupon-strategist > 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. - Magnitude: 1.6 out of 10 — Cooling - Stars: 990 total · +0 stars measured 2026-10-26, 00:21–15:12 UTC, ≈ 6 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-10-10 · Last push: 2026-10-21 - GitHub: https://github.com/Syenzzz/mcd-coupon-strategist · Homepage: https://github.com/Ayzzz123/mcd-coupon-strategist/blob/main/MCP_INTEGRATION.md · Page: https://gitnova.dev/en/r/Syenzzz/mcd-coupon-strategist ## Useful for - Pick the cheapest meal combination within budget at a specific store - Check whether adding items to trigger a 'spend 50 save 12' coupon actually pays off - Calculate how much money will be lost on coupons expiring in the next few days ## Why it’s here - Star-counter measurements on 2026-10-26 (UTC), 00:21–15:12: 993 → 990 stars (-3). This is the change over that interval. - Estimated end-of-day forecast: about +6 stars, using observed gains and the previous day. - Interest is fading: the two-day pace is 43% of the previous week and a half. - The repository is 16 days old and already has 990 stars. ## 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: 21 - Issues and pull requests: 0 - Watchers: 6 - Average over the last week: 63 per day - Usual pace: 33 per day - Stars in the last hour (measured): 0 ## Stars per day, last 17 days (oldest → newest, today is partial) 2026-10-10 … 2026-10-26: 93, 81, 81, 45, 21, 42, 32, 71, 42, 44, 118, 99, 53, 111, 6, 47, 0 ## Magnitude by day, last 14 days 10-13 4.5, 10-14 3.5, 10-15 3.1, 10-16 3.4, 10-17 3.6, 10-18 2.6, 10-19 2.5, 10-20 2.6, 10-21 3.1, 10-22 2.9, 10-23 2.7, 10-24 2.9, 10-25 0.8, 10-26 1.8 ## More in this category 1. **makecindy/cindy** — 8.9 · Breakout · AI agents · TypeScript · +1,059 stars measured 2026-10-26, 00:11–14:54 UTC, ≈ 1,576 by evening Cindy is an open-source AI agent that combines multiple harnesses (Claude Code, Codex), models and tools into one agent working locally with your real files and apps. This repo is the client: Electron desktop and Expo/React Native mobile… Full card: https://gitnova.dev/en/r/makecindy/cindy.md 2. **AgriciDaniel/claude-seo** — 8.3 · Breakout · AI agents · Python · +992 stars measured 2026-10-26, 00:11–14:54 UTC, ≈ 1,506 by evening SEO analysis plugin for Claude Code: 26 sub-skills and 19 agents run in parallel across technical SEO, E-E-A-T, Schema.org, GEO/AEO, local and international SEO, producing a prioritized action plan. Full card: https://gitnova.dev/en/r/AgriciDaniel/claude-seo.md 3. **elayadesign/ai-design-skills** — 8.1 · Breakout · AI agents · +301 stars measured 2026-10-26, 12:25–14:54 UTC, ≈ 784 by evening A collection of markdown-based design skills for AI coding tools like Claude Code, Cursor, Codex and Windsurf, covering landing page design and turning static designs into animated showcases. Full card: https://gitnova.dev/en/r/elayadesign/ai-design-skills.md 4. **TauricResearch/TradingAgents** — 8.1 · Breakout · AI agents · Python · +918 stars measured 2026-10-26, 00:12–14:54 UTC, ≈ 1,405 by evening A framework that simulates a trading firm with LLM agents (analysts, researchers, trader, risk manager) debating markets and producing trading decisions. Built for research, not real trading. Full card: https://gitnova.dev/en/r/TauricResearch/TradingAgents.md 5. **HKUDS/DeepTutor** — 7.9 · Breakout · AI agents · Python · +756 stars measured 2026-10-26, 00:13–14:54 UTC, ≈ 1,071 by evening A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG. Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.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 15:20 UTC, updated every 30 minutes.