MacroSense AI

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The MacroSense AI server is a robust Model Context Protocol (MCP) implementation designed to deliver comprehensive food hierarchy and nutrition data via a structured API. Leveraging the MCP Python SDK and StreamableHTTP transport, it ensures enterprise-grade data consistency with validated responses through Pydantic schemas. Its architecture supports web-based access and integrates seamlessly with MongoDB Atlas for scalable cloud-based data storage, making it suitable for production deployments requiring reliable and consistent food data.

Características Principales

• Structured data output using Pydantic schemas for validation and serialization
• Comprehensive suite of eleven distinct tools for food hierarchy and nutrition data
• StreamableHTTP transport for web-accessible MCP server implementation
• MongoDB Atlas integration for cloud-based, scalable data storage
• 0 GitHub stars
• Docker-based deployment with optimized build configurations for container support

Casos de Uso

• Managing and querying detailed food hierarchy datasets for applications
• Retrieving comprehensive nutrition information for specific food items
• Deploying a scalable and production-ready data service for food-related platforms