Enterprise AI & Workplace Automation DarkraiSubmitted July 18, 2026

Solar Sathi – Intelligent Rooftop Solar Feasibility & Subsidy Advisor

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

About this project

Solar Sathi is an AI-powered Model Context Protocol (MCP) application that helps homeowners evaluate rooftop solar adoption. Using natural language, users can estimate solar generation, installation costs, government subsidies, return on investment (ROI), environmental impact, and receive personalized recommendations. The system combines live solar data, location intelligence, financial calculations, and AI-powered reasoning into a single conversational assistant.

Enterprise AI & Workplace Automation track

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

Team Darkrai

  • Venkata Sai Dheeraj Kumar TanguturiLead

  • Prajwal G N

  • Mithun Velaganaboyana

  • Potuboina Chandra Mouli

Frequently asked questions

What does Solar Sathi – Intelligent Rooftop Solar Feasibility & Subsidy Advisor do?
Solar Sathi is an AI-powered Model Context Protocol (MCP) application that helps homeowners evaluate rooftop solar adoption. Using natural language, users can estimate solar generation, installation costs, government subsidies, return on investment (ROI), environmental impact, and receive personalized recommendations. The system combines live solar data, location intelligence, financial calculations, and AI-powered reasoning into a single conversational assistant.
Who built Solar Sathi – Intelligent Rooftop Solar Feasibility & Subsidy Advisor?
Solar Sathi – Intelligent Rooftop Solar Feasibility & Subsidy Advisor was built by team Darkrai 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.