Manufacturing & Industry 4.0 KairoSubmitted July 18, 2026

FactoryMind AI

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

About this project

FactoryMind AI is an AI-powered smart manufacturing assistant built using NitroStack and the Model Context Protocol (MCP). It enables users to interact with factory systems using natural language to monitor machine health, analyze equipment, predict maintenance needs, check spare part availability, assign technicians, create maintenance tickets, and visualize production KPIs. By combining NitroStack's AI orchestration with MCP tools, FactoryMind AI streamlines industrial operations, automates workflows, and enhances decision-making in Industry 4.0 environments.

Manufacturing & Industry 4.0 track

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

Live MCP appSource code

Team Kairo

  • Rohit MLead

  • Hrishi Keasan

  • Purushoth Srinivas Caliaperoumal

  • Advaith K S

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Frequently asked questions

What does FactoryMind AI do?
FactoryMind AI is an AI-powered smart manufacturing assistant built using NitroStack and the Model Context Protocol (MCP). It enables users to interact with factory systems using natural language to monitor machine health, analyze equipment, predict maintenance needs, check spare part availability, assign technicians, create maintenance tickets, and visualize production KPIs. By combining NitroStack's AI orchestration with MCP tools, FactoryMind AI streamlines industrial operations, automates workflows, and enhances decision-making in Industry 4.0 environments.
Who built FactoryMind AI?
FactoryMind AI was built by team Kairo at the Amrita University Amritapuri campus 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.