Manufacturing & Industry 4.0 AgentOpsSubmitted July 18, 2026

AutoGuard-AI

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

About this project

AutoGuard is a full-stack, AI-driven predictive maintenance and operations dashboard designed for industrial manufacturing plants. It monitors machine health in real-time through telemetry data, uses a FastAPI-hosted XGBoost machine learning model to predict failure probabilities and classify risk levels, and employs a TypeScript-based Model Context Protocol (MCP) server to coordinate incident responses. When a high-risk failure is detected, the system either auto-dispatches an available technician with a work order (if risk is 100%) or creates a manager-facing pending approval widget (if risk is elevated but below 100%), facilitating automated spare parts inventory checks, downtime cost analysis, and a seamless manual approval workflow to minimize manufacturing downtime.

Manufacturing & Industry 4.0 track

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

Live MCP appSource code

Team AgentOps

  • Joshitha NambakamLead

  • Sreehith Varma

  • Yaswanth reddy

  • Konduru Sai Mohith

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Frequently asked questions

What does AutoGuard-AI do?
AutoGuard is a full-stack, AI-driven predictive maintenance and operations dashboard designed for industrial manufacturing plants. It monitors machine health in real-time through telemetry data, uses a FastAPI-hosted XGBoost machine learning model to predict failure probabilities and classify risk levels, and employs a TypeScript-based Model Context Protocol (MCP) server to coordinate incident responses. When a high-risk failure is detected, the system either auto-dispatches an available technician with a work order (if risk is 100%) or creates a manager-facing pending approval widget (if risk is elevated but below 100%), facilitating automated spare parts inventory checks, downtime cost analysis, and a seamless manual approval workflow to minimize manufacturing downtime.
Who built AutoGuard-AI?
AutoGuard-AI was built by team AgentOps 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.