Manufacturing & Industry 4.0 ZERO RESPONSE TIMESubmitted August 1, 2026

CottonFLOW AI

An MCP app on the Model Context Protocol built by ZERO RESPONSE TIME at the SRMIST NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

CottonFlow AI is an AI-powered manufacturing intelligence platform built for the textile industry. It connects spinning, weaving, quality control, maintenance, and production into a unified system that monitors operations in real time, predicts equipment failures, detects anomalies before they become costly, and provides actionable insights through intelligent dashboards. By transforming disconnected factory data into proactive decisions, CottonFlow AI helps mills reduce downtime, improve efficiency, minimize waste, and maximize productivity.

Manufacturing & Industry 4.0 track

Create intelligent systems for smart factories, predictive maintenance, quality control, and supply chain optimization.

Team ZERO RESPONSE TIME

  • Priyanka Krishnakumar

  • Pratham Sharma

  • SHIVANESVAR KATHIRVEL MUTHU RAMALINGAMLead

  • Rishabh Raj

Frequently asked questions

What does CottonFLOW AI do?
CottonFlow AI is an AI-powered manufacturing intelligence platform built for the textile industry. It connects spinning, weaving, quality control, maintenance, and production into a unified system that monitors operations in real time, predicts equipment failures, detects anomalies before they become costly, and provides actionable insights through intelligent dashboards. By transforming disconnected factory data into proactive decisions, CottonFlow AI helps mills reduce downtime, improve efficiency, minimize waste, and maximize productivity.
Who built CottonFLOW AI?
CottonFLOW AI was built by team ZERO RESPONSE TIME at the SRMIST NitroStack × MCP To The Moon hackathon, in the Manufacturing & Industry 4.0 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.