McD Time Anchor (麦味时光锚点)

Ordering McDonald's shouldn't feel like a data entry task. This skill eliminates the friction of menu browsing by mapping your recurring orders to a persistent memory file and calculating the optimal coupon combinations via the mcd-mcp server. It automates the entire flow from store location to price optimization while maintaining a verifiable "Time Anchor" log of your actual purchases.

What it does

• Persistent Memory Management reads your profile.json to store "Usual" orders, favorite stores, and taste preferences like "no ice."
• Price Optimization runs real-time calculations using calculate-price to find the cheapest coupon combinations for your specific order.
• Geographic Awareness integrates with Amap or Baidu Maps to find the nearest open restaurant based on POI data or current weather conditions.
• Order Verification performs post-payment reconciliation using query-order to ensure only confirmed transactions enter your history.
• Scenario Projection uses historical "divergence" data to simulate alternative spending and flavor paths in a "Parallel Universe" mode.

How it works

1. Trigger the skill with natural phrases like "The usual" or "I'm hungry" to initiate store and meal detection.
2. Review the minimalist confirmation prompt showing the optimized price vs. original price and the specific store location.
3. Execute by saying "Yes" to receive a secure official McDonald's payment link, then notify the agent once paid to anchor the record.

Frameworks & tools

Built for the Model Context Protocol (MCP) using the mcd-mcp server. Supports Amap (高德) and Baidu Maps APIs for enhanced geolocation.

Why this beats prompting it yourself

Generic prompts cannot access live McDonald's inventory, real-time coupon stacks, or your specific order history. This skill bridges the gap between a LLM and the actual POS system, ensuring prices are accurate and preferences are remembered across sessions without repeating instructions.

Use cases

• One-word ordering for your daily office lunch using your "Usual" profile.
• Budget optimization when you want the best deal on a specific set of items across available coupons.
• Weather-based suggestions such as hot drinks on rainy days or ice cream during heatwaves.
• Spending analysis to review total savings and order frequency over months of data.

Known limitations

Does not support third-party delivery platforms or payments outside the official McDonald's gateway. Geolocation accuracy depends on provided API keys.