Enterprise AI & Workplace Automation The TachyonsSubmitted July 18, 2026

HandoffOS

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

About this project

HandoffOS is an MCP-native workflow state engine that makes invisible enterprise handoffs visible, explainable, and actionable. It transforms workflow events into a live dependency graph, detects bottlenecks with deterministic rules, and uses AI only to explain findings with evidence. Through MCP Resources, Tools, and Prompts, any compatible client can inspect workflow state, simulate the impact of resolving blockers, and execute approved next actions. Our prototype demonstrates this using a new-hire onboarding workflow where a single missed task can delay multiple downstream processes.

Enterprise AI & Workplace Automation track

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

Team The Tachyons

  • Adithyanandan ALead

  • Amrithalekshmy G

  • Muhammad Yazeen

  • Ganesh S

Frequently asked questions

What does HandoffOS do?
HandoffOS is an MCP-native workflow state engine that makes invisible enterprise handoffs visible, explainable, and actionable. It transforms workflow events into a live dependency graph, detects bottlenecks with deterministic rules, and uses AI only to explain findings with evidence. Through MCP Resources, Tools, and Prompts, any compatible client can inspect workflow state, simulate the impact of resolving blockers, and execute approved next actions. Our prototype demonstrates this using a new-hire onboarding workflow where a single missed task can delay multiple downstream processes.
Who built HandoffOS?
HandoffOS was built by team The Tachyons at the Amrita University Amritapuri campus 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.