AI/ML
A Model Context Protocol (MCP) server designed for comprehensive plant care management. Provides tools for tracking plant collections, watering schedules, growth measurements, and images with multi-user support through API key authentication.
Create a reliable and accessible plant care management system that integrates seamlessly with AI assistants through the Model Context Protocol, enabling natural language interactions with plant data.
Built a comprehensive MCP server using TypeScript and PostgreSQL, implementing standardized MCP tools for plant management, watering tracking, growth logging, and image references with robust multi-user authentication.
Seamless integration with Claude Desktop and other MCP clients
Comprehensive plant care tracking across multiple users
Real-time watering schedule management
Historical growth data and analytics
Plant collection management with detailed metadata
Watering tracking and scheduling system
Growth measurement logging with timestamps
Plant image reference storage
Multi-user support with API key authentication
RESTful API with Express server
MCP SDK implementation for Claude integration
PostgreSQL database with optimized schema
TypeScript for type-safe development
Express.js server architecture
Server-Sent Events (SSE) for real-time updates
Biome for code quality and formatting