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

Description and use

Build an AI agent that recommends the best CADR‑per‑dollar air purifier for an HDB room using live pricing from BuyWhere MCP.

Problem

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

Outcome

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.

Workflow

• 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.

Evidence

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

Source

CADR needed = room area (m²) × 8

Source