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AtlasRepo

Build an air‑quality agent that picks the right HDB purifier using MCP

Описание и применение

Создайте агента, который рекомендует оптимальный воздухоочиститель для вашего HDB‑квартиры, учитывая площадь комнаты и бюджет, используя живые цены из BuyWhere MCP.

Задача

Singapore residents often buy air purifiers that are too small or too expensive for their HDB rooms, leading to ineffective air cleaning during haze.

Результат

The 70‑line Python script automatically recommends the most cost‑effective air purifier for a given HDB room, improving purchasing decisions and ensuring adequate air quality during haze.

Рабочий процесс

  • 1. Input room size (m²) and budget (SGD).
  • 2. Compute required CADR = room size × 8.
  • 3. Call BuyWhere MCP search_products with query "air purifier HEPA" and price bounds.
  • 4. Filter results for CADR ≥ required and price ≤ budget.
  • 5. Score each product by CADR‑per‑dollar.
  • 6. Sort scores descending and return top 5 with title, merchant, price, CADR, CADR‑per‑dollar, and purchase link.

Доказательства

The agent does three things: Reads your room size (in square meters) and budget (in SGD), Searches the BuyWhere MCP catalog for air purifiers that match, Ranks them by CADR-per-dollar and includes live merchant links

Источник

CADR needed = room area (m²) × 8

Источник

  • Дата записи: 2026-09-08T11:45:29.904Z