Enterprise AI & Workplace Automation SheCodes AISubmitted July 26, 2026

ContextOS - An MCP

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

About this project

ContextOS is an Adaptive AI Context Intelligence Platform that transforms conversations into structured documentation, intelligent planning, workflow automation, and organizational knowledge. Unlike traditional AI meeting assistants, ContextOS does not automatically classify meetings. Instead, users manually select a Context Pack (Business, Software Development, Research, Healthcare, Education, Finance, Hackathon, and more), allowing the same conversation to generate entirely different workflows tailored to each domain.

Enterprise AI & Workplace Automation track

Develop AI agents and automation tools that improve productivity, streamline workflows, and enhance business operations.

Source code

Team SheCodes AI

  • Gaddam JahnaviLead

  • Thota Neha

  • KAMBOJI HASWITHESWARI

  • Hasini Reddy

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Frequently asked questions

What does ContextOS - An MCP do?
ContextOS is an Adaptive AI Context Intelligence Platform that transforms conversations into structured documentation, intelligent planning, workflow automation, and organizational knowledge. Unlike traditional AI meeting assistants, ContextOS does not automatically classify meetings. Instead, users manually select a Context Pack (Business, Software Development, Research, Healthcare, Education, Finance, Hackathon, and more), allowing the same conversation to generate entirely different workflows tailored to each domain.
Who built ContextOS - An MCP?
ContextOS - An MCP was built by team SheCodes AI at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Enterprise AI & Workplace Automation 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.