HealthTech & Life Sciences Prompt PiratesSubmitted July 26, 2026

Vayu — Personal Real-Time UV Exposure Guardian

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

About this project

Vayu is a Model Context Protocol (MCP) server that transforms an AI into a proactive sun-safety advisor. By equipping an LLM with specialized environmental and dermatological tools, Vayu can: - Fetch Real-Time UV Data : Look up the current UV index for any global coordinates. - Calculate Safe Exposure Windows : Determine exactly how many minutes a user can safely stay in the sun before risking skin damage. - Track Risk Escalation : Monitor changes in the UV index throughout the day and trigger alerts if the environmental risk jumps to a dangerous tier. - Manage User Profiles : Store and recall specific user skin types (based on the Fitzpatrick scale 1-6) to ensure all advice is deeply personalized. Who is it for? - Outdoor Enthusiasts : Hikers, runners, beachgoers, or travelers who spend prolonged periods outside and need precise guidelines on when to seek shade or reapply sunscreen. - Sun-Sensitive Individuals : People with skin conditions, a history of skin cancer, or those using photosensitizing medications who need strict, reliable environmental monitoring. - Parents & Caregivers : People wanting to ensure their children are safe during outdoor play or sports events. What makes it special? - Hyper-Personalization : Unlike generic weather apps that just output a number, Vayu cross-references the raw UV index with the user's specific skin type to calculate an exact, actionable "safe exposure window" in minutes. - Proactive State Tracking : Vayu maintains session state across interactions. It doesn't just answer one-off questions; it can track previous risk tiers and alert the AI if the environment has suddenly escalated (e.g., jumping from "Moderate" to "Extreme"). - Seamless AI Integration : As an MCP server, Vayu allows an LLM to seamlessly weave sun safety into broader conversations. If you tell your AI, *"I'm going for a 3-hour hike in Denver at noon,"* the AI can automatically fetch the UV data, referenc

HealthTech & Life Sciences track

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

Source code

Team Prompt Pirates

  • Mokshagnna Bramha Teja VadlamudiLead

  • K Venkata Ravi Teja

  • Tejasvi Senka

  • Thumpera Rushil chakravarthy

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Frequently asked questions

What does Vayu — Personal Real-Time UV Exposure Guardian do?
Vayu is a Model Context Protocol (MCP) server that transforms an AI into a proactive sun-safety advisor. By equipping an LLM with specialized environmental and dermatological tools, Vayu can: - Fetch Real-Time UV Data : Look up the current UV index for any global coordinates. - Calculate Safe Exposure Windows : Determine exactly how many minutes a user can safely stay in the sun before risking skin damage. - Track Risk Escalation : Monitor changes in the UV index throughout the day and trigger alerts if the environmental risk jumps to a dangerous tier. - Manage User Profiles : Store and recall specific user skin types (based on the Fitzpatrick scale 1-6) to ensure all advice is deeply personalized. Who is it for? - Outdoor Enthusiasts : Hikers, runners, beachgoers, or travelers who spend prolonged periods outside and need precise guidelines on when to seek shade or reapply sunscreen. - Sun-Sensitive Individuals : People with skin conditions, a history of skin cancer, or those using photosensitizing medications who need strict, reliable environmental monitoring. - Parents & Caregivers : People wanting to ensure their children are safe during outdoor play or sports events. What makes it special? - Hyper-Personalization : Unlike generic weather apps that just output a number, Vayu cross-references the raw UV index with the user's specific skin type to calculate an exact, actionable "safe exposure window" in minutes. - Proactive State Tracking : Vayu maintains session state across interactions. It doesn't just answer one-off questions; it can track previous risk tiers and alert the AI if the environment has suddenly escalated (e.g., jumping from "Moderate" to "Extreme"). - Seamless AI Integration : As an MCP server, Vayu allows an LLM to seamlessly weave sun safety into broader conversations. If you tell your AI, *"I'm going for a 3-hour hike in Denver at noon,"* the AI can automatically fetch the UV data, referenc
Who built Vayu — Personal Real-Time UV Exposure Guardian?
Vayu — Personal Real-Time UV Exposure Guardian was built by team Prompt Pirates 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.