Provides comprehensive food hierarchy and nutrition data via a StreamableHTTP server with structured Pydantic output.
Sponsored
The Dietician server is a production-ready Model Context Protocol (MCP) server designed to deliver detailed food hierarchy and nutrition information. It leverages the MCP Python SDK with StreamableHTTP transport, ensuring web-accessible and consistent data delivery through Pydantic schemas for robust validation and serialization. Integrating with MongoDB Atlas for scalable cloud-based data storage and supporting Docker for containerized deployment, it offers 11 distinct tools covering everything from complete food hierarchies and category listings to detailed nutrition profiles and search capabilities, making it ideal for applications requiring accurate and structured food data.
Key Features
01Eleven comprehensive tools for food hierarchy and nutrition data management
02MongoDB Atlas integration for cloud-based and scalable data storage
030 GitHub stars
04Docker support for containerized deployment and optimized builds
05Structured output using Pydantic schemas for data validation and serialization
06StreamableHTTP transport for web-accessible MCP server functionality
Use Cases
01Developing nutrition tracking or dietary planning applications
02Integrating structured food data into AI models or recommendation systems
03Building APIs that require detailed food hierarchy and nutritional information
