Education & Research NAALVARSubmitted July 26, 2026

Memora

An MCP app on the Model Context Protocol built by NAALVAR at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

Memora is an AI-powered study companion designed to make learning more effective and engaging. Students can upload PDFs, lecture notes and the platform automatically converts them into concise summaries, quizzes, flashcards, and concept-based explanations. Using NitroStack MCP, Memora provides personalized learning recommendations, tracks progress, and identifies weak areas to help students focus on what matters most. It transforms traditional study materials into an intelligent, interactive learning experience that improves understanding and long-term retention.

Education & Research track

Build innovative tools that transform learning, teaching, academic research, and knowledge discovery.

Team NAALVAR

  • Rithan SLead

  • Kiruthika K

  • Sahana Loganathan

  • Roahiyaa Thirumalaisamy

Frequently asked questions

What does Memora do?
Memora is an AI-powered study companion designed to make learning more effective and engaging. Students can upload PDFs, lecture notes and the platform automatically converts them into concise summaries, quizzes, flashcards, and concept-based explanations. Using NitroStack MCP, Memora provides personalized learning recommendations, tracks progress, and identifies weak areas to help students focus on what matters most. It transforms traditional study materials into an intelligent, interactive learning experience that improves understanding and long-term retention.
Who built Memora?
Memora was built by team NAALVAR at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Education & Research track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.