nutriscan-ai

Title: NutriScan AI — Food Intelligence & Allergen Guard

Short Description: A multi-modal food intelligence API for AI agents. Instantly analyze products via barcode, label photo, or ingredient text to get health scores, allergen warnings, and diet compatibility.

Long Description: NutriScan AI is a powerful Model Context Protocol (MCP) server that gives AI agents "eyes" and "expertise" in the grocery aisle. It bridges the gap between raw product data (Open Food Facts/USDA) and actionable nutritional intelligence.

Key Capabilities:
Multi-Modal Input: Seamlessly switch between barcode lookup (UPC/EAN), OCR-powered label image analysis, and raw ingredient list text.
Health Scoring: Instant Nutri-Score (A-F) grading and NOVA processing level classification (1-4).
Advanced Allergen Guard: Multi-stage detection for 10+ major allergen groups, using a proprietary blend of database tags, heuristics, and LLM reasoning to catch hidden derivatives.
Diet Compatibility: Automated verification for Vegan, Vegetarian, Keto, Paleo, Gluten-Free, Diabetic-friendly, Halal, and Kosher diets.
Smart Alternatives: Context-aware suggestions for healthier swaps when a product scores poorly.
Agent-Optimized: Designed specifically for AI agents (Claude, GPT, Cursor) with structured JSON outputs and descriptive tool schemas.

Use Cases:
"Scan this box of cereal and tell me if it's safe for a child with a peanut allergy."
"Analyze these ingredients and estimate the Nutri-Score."
"Is this snack compatible with a Paleo diet? If not, suggest a healthier swap."