Enterprise AI & Workplace Automation Code CrusadersSubmitted July 26, 2026

EchoMind – AI-Powered Engineering Investigation Platform

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

About this project

EchoMind is an AI-powered engineering investigation platform built using NitroStack and the Model Context Protocol (MCP) to help software engineers resolve production incidents faster. During production outages, engineers often spend valuable time switching between logs, source code, engineering documentation, and previous incident reports. EchoMind streamlines this workflow by providing intelligent tools to create investigation cases, collect code evidence, search engineering documentation, retrieve similar historical incidents, and organize investigation evidence within a single platform. EchoMind is designed for software engineers, DevOps teams, Site Reliability Engineers (SREs), and engineering support teams who need to perform rapid root cause analysis during critical production failures. Built on NitroStack's MCP ecosystem, EchoMind combines AI-assisted investigation, structured evidence management, and interactive widgets to reduce context switching and accelerate incident resolution. Instead of relying on multiple disconnected tools, engineering teams can perform the complete investigation workflow from one intelligent interface, improving collaboration, productivity, and system reliability.

Enterprise AI & Workplace Automation track

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

Team Code Crusaders

  • K Sukhesh VarmaLead

  • Rithik

  • Sharvesh M

  • Chintala Sai Krishna

Frequently asked questions

What does EchoMind – AI-Powered Engineering Investigation Platform do?
EchoMind is an AI-powered engineering investigation platform built using NitroStack and the Model Context Protocol (MCP) to help software engineers resolve production incidents faster. During production outages, engineers often spend valuable time switching between logs, source code, engineering documentation, and previous incident reports. EchoMind streamlines this workflow by providing intelligent tools to create investigation cases, collect code evidence, search engineering documentation, retrieve similar historical incidents, and organize investigation evidence within a single platform. EchoMind is designed for software engineers, DevOps teams, Site Reliability Engineers (SREs), and engineering support teams who need to perform rapid root cause analysis during critical production failures. Built on NitroStack's MCP ecosystem, EchoMind combines AI-assisted investigation, structured evidence management, and interactive widgets to reduce context switching and accelerate incident resolution. Instead of relying on multiple disconnected tools, engineering teams can perform the complete investigation workflow from one intelligent interface, improving collaboration, productivity, and system reliability.
Who built EchoMind – AI-Powered Engineering Investigation Platform?
EchoMind – AI-Powered Engineering Investigation Platform was built by team Code Crusaders 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.