Enterprise AI & Workplace Automation 16315Submitted July 18, 2026

FinOps AI Assistant – Intelligent Cloud Cost Optimization using AWS & NitroStack MCP

An MCP app on the Model Context Protocol built by 16315 at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

An AI-powered FinOps assistant that analyzes live AWS cloud resources, detects idle and underutilized EC2 instances using real CloudWatch metrics, estimates potential cost savings, and provides actionable optimization recommendations through NitroStack's Model Context Protocol (MCP).

Enterprise AI & Workplace Automation track

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

Team 16315

  • Harini Karthikeyan

  • Siddi Sri Pilla

  • Tejaswini sLead

  • Sumanthi Nethula

Frequently asked questions

What does FinOps AI Assistant – Intelligent Cloud Cost Optimization using AWS & NitroStack MCP do?
An AI-powered FinOps assistant that analyzes live AWS cloud resources, detects idle and underutilized EC2 instances using real CloudWatch metrics, estimates potential cost savings, and provides actionable optimization recommendations through NitroStack's Model Context Protocol (MCP).
Who built FinOps AI Assistant – Intelligent Cloud Cost Optimization using AWS & NitroStack MCP?
FinOps AI Assistant – Intelligent Cloud Cost Optimization using AWS & NitroStack MCP was built by team 16315 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.