Manufacturing & Industry 4.0 The Semicolon SquadSubmitted July 26, 2026

GearMind - Industrial supervisor

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

About this project

GearMind is an autonomous multi-agent industrial supervisor platform built using the NitroStack SDK (Model Context Protocol). It connects AI models (such as NitroStudio, ChatGPT, or Claude) directly to plant infrastructure, database storage (Supabase), and communication services (Gmail Nodemailer) to handle end-to-end inventory management, predictive maintenance, plant safety, quality control, and automated restocking. 📦 Autonomous Inventory & Procurement — Case-insensitive stock lookups in Supabase with auto-syncing purchase orders. 🛠️ Predictive Machinery Maintenance — Real-time telemetry monitoring, failure risk prediction, and automated dispatch of styled HTML Work Order emails via Gmail SMTP. 🚨 Safety Sentinel & Escalation — Plant-wide safety compliance auditing and emergency protocol triggers (line shutdown, evacuation). 📜 Grounded Policy Resource — Static MCP resource (memo://manufacturing/inventory-rules) enforcing industrial stock thresholds and supplier selection criteria. 🎯 Master Multi-Domain Orchestration — Pre-configured to coordinating multi-phase plant audits automatically.

Manufacturing & Industry 4.0 track

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

Source code

Team The Semicolon Squad

  • Revanth SLead

  • Kirithik B

  • Kamalesh

  • Vegulla Satya Amruth Chowdary

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Frequently asked questions

What does GearMind - Industrial supervisor do?
GearMind is an autonomous multi-agent industrial supervisor platform built using the NitroStack SDK (Model Context Protocol). It connects AI models (such as NitroStudio, ChatGPT, or Claude) directly to plant infrastructure, database storage (Supabase), and communication services (Gmail Nodemailer) to handle end-to-end inventory management, predictive maintenance, plant safety, quality control, and automated restocking. 📦 Autonomous Inventory & Procurement — Case-insensitive stock lookups in Supabase with auto-syncing purchase orders. 🛠️ Predictive Machinery Maintenance — Real-time telemetry monitoring, failure risk prediction, and automated dispatch of styled HTML Work Order emails via Gmail SMTP. 🚨 Safety Sentinel & Escalation — Plant-wide safety compliance auditing and emergency protocol triggers (line shutdown, evacuation). 📜 Grounded Policy Resource — Static MCP resource (memo://manufacturing/inventory-rules) enforcing industrial stock thresholds and supplier selection criteria. 🎯 Master Multi-Domain Orchestration — Pre-configured to coordinating multi-phase plant audits automatically.
Who built GearMind - Industrial supervisor?
GearMind - Industrial supervisor was built by team The Semicolon Squad at the Amrita University Coimbatore 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.