Education & Research ByteDexSubmitted July 18, 2026

CampusOS

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

About this project

CampusOS AI is an AI-powered University Operating System built using Model Context Protocol (MCP) and Agentic AI. It unifies essential campus services such as attendance, timetables, assignments, library management, events, fees, and academic analytics into a single intelligent platform. Instead of navigating multiple university portals, students, faculty, and administrators interact with one AI assistant that can answer questions, automate tasks, and provide personalized insights. CampusOS AI leverages modular MCP servers to connect university systems, creating a smarter, more efficient, and connected digital campus experience.

Education & Research track

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

Live MCP appSource code

Team ByteDex

  • Adithya GopanLead

  • DEVIKA K

  • Praful Singh

  • Vaishnav Venu

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Frequently asked questions

What does CampusOS do?
CampusOS AI is an AI-powered University Operating System built using Model Context Protocol (MCP) and Agentic AI. It unifies essential campus services such as attendance, timetables, assignments, library management, events, fees, and academic analytics into a single intelligent platform. Instead of navigating multiple university portals, students, faculty, and administrators interact with one AI assistant that can answer questions, automate tasks, and provide personalized insights. CampusOS AI leverages modular MCP servers to connect university systems, creating a smarter, more efficient, and connected digital campus experience.
Who built CampusOS?
CampusOS was built by team ByteDex at the Amrita University Amritapuri campus 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.