A specialized Model Context Protocol (MCP) server that enables AI-powered interview roleplay scenarios for practice with realistic conversational feedback.
MCP server that enables natural language tracking and retrieval of coding interview practice attempts, mistakes, and insights to provide personalized interview coaching.
An educational MCP server that teaches implementing the Model Context Protocol from scratch, enabling AI models to discover and invoke tools via JSON-RPC over stdio.
An MCP server that acts as a personalized interview prep coach, tracking DSA problems, scheduling spaced-repetition revisions, and providing RAG-based concept explanations grounded in your own notes.
An MCP server that enables local AI models to receive guidance from remote 'senior' AI providers like OpenAI, Anthropic, and Gemini to solve programming problems. It features intelligent multi-turn dialogue management, context synchronization, and automated session history tracking.