Open Innovation L00P_h()LeSSubmitted July 26, 2026

Sentinel – Autonomous SOC Tier-1 Analyst & Incident Triage Agent

An MCP app on the Model Context Protocol built by L00P_h()LeS at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

Sentinel is an AI-powered cybersecurity assistant built using the NitroStack MCP Framework. It helps organisations handle security alerts automatically, reducing the time security teams spend on repetitive investigations. Whenever a suspicious activity is detected, Sentinel analyses the alert, identifies how serious it is, explains what happened in simple terms, and suggests the next actions. Instead of manually checking hundreds of alerts, security analysts receive a clear, structured investigation report within seconds. To make investigations easier, Sentinel also includes an interactive dashboard that displays the threat level, summary, and recommended actions in an easy-to-understand format. It is further integrated with NitroChat and the ChatGPT MCP Plugin, allowing users to investigate incidents using natural language conversations Sentinel transforms complex cybersecurity alerts into simple, actionable insights, helping security teams respond faster while reducing manual effort and improving efficiency. Key Highlights AI-Powered Tier-1 SOC Assistant Automated Security Alert Triage Threat Severity & Risk Assessment MITRE ATT&CK Mapping Threat Intelligence (IP & File Hash Analysis) Automated Incident Report Generation Interactive SOC Dashboard NitroChat & ChatGPT MCP Plugin Integration Faster Incident Response with Reduced Manual Effort.

Open Innovation track

Solve any real-world problem with AI, regardless of industry or domain.

Team L00P_h()LeS

  • Cheepati Nikhil kumar reddyLead

  • Appakondappagari Pranideep

  • komma maneeswar reddy

  • Veluru Venkata Akhilesh

Frequently asked questions

What does Sentinel – Autonomous SOC Tier-1 Analyst & Incident Triage Agent do?
Sentinel is an AI-powered cybersecurity assistant built using the NitroStack MCP Framework. It helps organisations handle security alerts automatically, reducing the time security teams spend on repetitive investigations. Whenever a suspicious activity is detected, Sentinel analyses the alert, identifies how serious it is, explains what happened in simple terms, and suggests the next actions. Instead of manually checking hundreds of alerts, security analysts receive a clear, structured investigation report within seconds. To make investigations easier, Sentinel also includes an interactive dashboard that displays the threat level, summary, and recommended actions in an easy-to-understand format. It is further integrated with NitroChat and the ChatGPT MCP Plugin, allowing users to investigate incidents using natural language conversations Sentinel transforms complex cybersecurity alerts into simple, actionable insights, helping security teams respond faster while reducing manual effort and improving efficiency. Key Highlights AI-Powered Tier-1 SOC Assistant Automated Security Alert Triage Threat Severity & Risk Assessment MITRE ATT&CK Mapping Threat Intelligence (IP & File Hash Analysis) Automated Incident Report Generation Interactive SOC Dashboard NitroChat & ChatGPT MCP Plugin Integration Faster Incident Response with Reduced Manual Effort.
Who built Sentinel – Autonomous SOC Tier-1 Analyst & Incident Triage Agent?
Sentinel – Autonomous SOC Tier-1 Analyst & Incident Triage Agent was built by team L00P_h()LeS at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Open Innovation 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.