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.
A specialized Model Context Protocol (MCP) server that enables AI-powered interview roleplay scenarios for practice with realistic conversational feedback.
MCP server that captures and recalls coding session memory (failures, decisions, diffs) for AI agents, enabling cross-agent continuity and preventing repeated mistakes.
MCP server that provides persistent memory and contextual awareness to language models, enabling project onboarding, recall of architectural rules, and code consistency across sessions.
A Dockerized MCP server that fetches your GitHub repositories, indexes them into a local vector database, and exposes semantic code search tools to LLM clients for tailored technical mock interviews grounded in your actual code.