An MCP server and CLI for step-by-step learning, enabling humans and agents to learn subjects like language tutoring through a structured prompt system.
An MCP server that provides an open, local-first record of a child's learning, enabling an AI tutor to read, teach from, and update the child's knowledge, interests, and progress.
An educational MCP server example built with FastMCP that demonstrates how to expose tools, resources, and prompts to AI clients. Provides a learning foundation for building MCP servers with Python and integrating them with AI applications like IDEs and chatbots.
An MCP server for the FlashLearnAI public API that enables AI-powered flashcard deck generation, browsing sets, SM-2 spaced-repetition study sessions, and API usage tracking through natural language.