Manufacturing & Industry 4.0 THE HOVER SQUADSubmitted July 26, 2026

NITROGUARD

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

About this project

NitroGuard is a real-time AI safety gateway for autonomous mobile robots (AMRs) operating in dynamic factory environments, addressing an emerging challenge in physical AI and industrial automation. As large language models are increasingly used for natural-language mission planning in embodied AI systems, a structural gap remains: LLMs lack deterministic spatial awareness and cannot inherently guarantee collision-free execution. Existing industrial safety standards, such as ISO 10218:2025, were built for conventional control architectures and have not yet been extended to account for AI-generated motion intent. NitroGuard addresses this by acting as an MCP-native interception layer between AI-driven planning and physical actuation. Every movement command proposed by the LLM is evaluated by a Control Barrier Function (CBF) safety engine before execution, mathematically constraining the trajectory outside defined hazard boundaries in real time. The language model never holds direct write access to the robot. Mission planning is grounded in live MCP Resources — factory layout, hazard map, robot state — before a target is proposed. The raw versus safety-corrected trajectory is rendered live in 2D/3D, then dispatched to a MuJoCo physics simulation for execution. Built on the full NitroStack framework: Tools for mission execution and emergency stop, Resources for environmental grounding, a Prompt template for safe-navigation workflows, Guards and rate-limiting on execution, and an interactive trajectory-viewer Widget. Intended for robotics teams integrating LLMs into control loops, industrial manufacturers adding natural-language interfaces, and integrators needing auditable safety assurances as AI-robot regulation develops.

Manufacturing & Industry 4.0 track

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

Source code

Team THE HOVER SQUAD

  • Vishal Krishnaa RLead

    X

  • Vishal Subbiah V

  • RamViyaas

  • Suyambu Raj S

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Frequently asked questions

What does NITROGUARD do?
NitroGuard is a real-time AI safety gateway for autonomous mobile robots (AMRs) operating in dynamic factory environments, addressing an emerging challenge in physical AI and industrial automation. As large language models are increasingly used for natural-language mission planning in embodied AI systems, a structural gap remains: LLMs lack deterministic spatial awareness and cannot inherently guarantee collision-free execution. Existing industrial safety standards, such as ISO 10218:2025, were built for conventional control architectures and have not yet been extended to account for AI-generated motion intent. NitroGuard addresses this by acting as an MCP-native interception layer between AI-driven planning and physical actuation. Every movement command proposed by the LLM is evaluated by a Control Barrier Function (CBF) safety engine before execution, mathematically constraining the trajectory outside defined hazard boundaries in real time. The language model never holds direct write access to the robot. Mission planning is grounded in live MCP Resources — factory layout, hazard map, robot state — before a target is proposed. The raw versus safety-corrected trajectory is rendered live in 2D/3D, then dispatched to a MuJoCo physics simulation for execution. Built on the full NitroStack framework: Tools for mission execution and emergency stop, Resources for environmental grounding, a Prompt template for safe-navigation workflows, Guards and rate-limiting on execution, and an interactive trajectory-viewer Widget. Intended for robotics teams integrating LLMs into control loops, industrial manufacturers adding natural-language interfaces, and integrators needing auditable safety assurances as AI-robot regulation develops.
Who built NITROGUARD?
NITROGUARD was built by team THE HOVER 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.