I Built an Open-Source McDonald's Meal Recommender Using MCP and Python

Описание и применение

McPilot – открытый рекомендатор блюд McDonald’s, использующий MCP и Python, обеспечивает прозрачные, основанные на данных рекомендации, учитывая бюджет и питание.

Задача

Choosing a meal that fits budget, nutrition, and taste preferences is complex.

Результат

McPilot delivers explainable, data‑driven meal recommendations that respect budget and nutrition constraints, improving decision‑making for McDonald’s China customers.

Рабочий процесс

• 1. User enters budget, party size, dietary restrictions, and nutritional goals via a responsive web interface.
• 2. McPilot queries the McDonald’s China MCP for menu, nutrition, and coupon data via Streamable HTTP.
• 3. Python processes the data, validates inputs, and applies the chosen recommendation strategy.
• 4. The system outputs meal combinations, price totals, and explanations, or suggests alternatives if no suitable combo is found.

Доказательства

McPilot uses available menu, store, nutrition, and coupon information to create explainable meal recommendations.

Источник

The system also supports price calculations, explanations for its recommendations, missing-data warnings, and suggestions when no suitable meal combination is found.

Источник

McPilot explicitly identifies missing data to avoid misleading recommendations.

Источник