Enterprise AI & Workplace Automation Null pointersSubmitted July 26, 2026

Agentic AI for autonomous cloud platforms

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

About this project

An intelligent, multi-agent system that uses LLMs to autonomously manage, monitor, optimize, and secure Azure cloud infrastructure. Built with a dual architecture — a React web dashboard for end-users and an MCP server for AI-native tool orchestration via NitroStack, Claude Desktop, or any MCP-compatible client.

Enterprise AI & Workplace Automation track

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

Source code

Team Null pointers

  • Manogna ChallaLead

  • Hari Sree M

  • Krishna Veni Valluri

  • nanditha c

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Frequently asked questions

What does Agentic AI for autonomous cloud platforms do?
An intelligent, multi-agent system that uses LLMs to autonomously manage, monitor, optimize, and secure Azure cloud infrastructure. Built with a dual architecture — a React web dashboard for end-users and an MCP server for AI-native tool orchestration via NitroStack, Claude Desktop, or any MCP-compatible client.
Who built Agentic AI for autonomous cloud platforms?
Agentic AI for autonomous cloud platforms was built by team Null pointers at the Amrita University Coimbatore 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.