Open Innovation CodeErrorSubmitted July 18, 2026

Incident Commander

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

About this project

AI Incident Commander is an AI-powered incident response platform that helps engineering teams detect, investigate, and resolve production incidents faster. By integrating logs, deployments, commits, monitoring data, and team communication into a single intelligent dashboard, it automatically analyzes evidence, identifies potential root causes, and recommends actionable solutions. The platform reduces Mean Time to Resolution (MTTR), minimizes downtime, and enables teams to respond to critical incidents with confidence through AI-assisted investigations, real-time analytics, and a centralized knowledge base.

Open Innovation track

Solve any real-world problem with AI, regardless of industry or domain.

Team CodeError

  • Karempudi LaasyaLead

  • Neha Abhigna

  • Varanasi Varshitha

  • Pyaraka Srinija

Frequently asked questions

What does Incident Commander do?
AI Incident Commander is an AI-powered incident response platform that helps engineering teams detect, investigate, and resolve production incidents faster. By integrating logs, deployments, commits, monitoring data, and team communication into a single intelligent dashboard, it automatically analyzes evidence, identifies potential root causes, and recommends actionable solutions. The platform reduces Mean Time to Resolution (MTTR), minimizes downtime, and enables teams to respond to critical incidents with confidence through AI-assisted investigations, real-time analytics, and a centralized knowledge base.
Who built Incident Commander?
Incident Commander was built by team CodeError at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon, in the Open Innovation 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.