HealthTech & Life Sciences Team Kanya RashiSubmitted July 26, 2026

Lifeline

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

About this project

During medical emergencies, choosing the nearest hospital is not always the safest option. Current navigation systems consider only distance and traffic, ignoring critical factors such as hospital specialization, real-time ICU/ER bed availability, and emergency treatment capabilities. As a result, patients may be taken to hospitals that cannot provide the required care or have no available capacity, leading to delays, secondary transfers, and increased risk during the critical Golden Hour. AuraHealth addresses this problem by using an Agentic AI system built with NitroStack MCP to analyze the patient's condition, identify the most suitable hospital based on medical capabilities and live resource availability, optimize the fastest route, and reserve an emergency bed before the patient arrives. This enables faster, smarter, and more reliable emergency care decisions.

HealthTech & Life Sciences track

Design AI-powered solutions for healthcare, diagnostics, patient care, medical research, and life sciences.

Live MCP appSource code

Team Team Kanya Rashi

  • Akhil RudrapakaLead

  • Gurram Nikshith

  • Sreeshanth reddy pothula

  • Satwiq Reddy Kampamalla

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Frequently asked questions

What does Lifeline do?
During medical emergencies, choosing the nearest hospital is not always the safest option. Current navigation systems consider only distance and traffic, ignoring critical factors such as hospital specialization, real-time ICU/ER bed availability, and emergency treatment capabilities. As a result, patients may be taken to hospitals that cannot provide the required care or have no available capacity, leading to delays, secondary transfers, and increased risk during the critical Golden Hour. AuraHealth addresses this problem by using an Agentic AI system built with NitroStack MCP to analyze the patient's condition, identify the most suitable hospital based on medical capabilities and live resource availability, optimize the fastest route, and reserve an emergency bed before the patient arrives. This enables faster, smarter, and more reliable emergency care decisions.
Who built Lifeline?
Lifeline was built by team Team Kanya Rashi at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the HealthTech & Life Sciences 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.