LangGraph Nutrition Analyzer

This nutrition analysis MCP server by sunilpowar5 provides food image recognition and nutritional data retrieval through Google's Gemini AI and the Nutritionix API, featuring a LangGraph-powered workflow that identifies food items from uploaded images and fetches detailed calorie and protein information. Built with FastAPI backend serving nutrition_fetch and wiki_search tools, and a Streamlit frontend for interactive image upload and follow-up questions, it uses Google Generative AI for food identification with quantity estimation and integrates Wikipedia search for additional nutritional context. The implementation leverages LangGraph's state management for conversational workflows, supports both initial image analysis and follow-up queries about nutrition facts, and includes comprehensive error handling with retry mechanisms, making it valuable for health-conscious users tracking dietary intake, nutritionists analyzing meal compositions, and fitness applications requiring automated food logging capabilities.