Open Innovation NullPointersSubmitted July 18, 2026

LeakShield AI: An MCP-Powered Proactive Data Leak Containment Agent

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

About this project

Proactive Data Leak Containment Agent is an MCP-powered security assistant that continuously monitors developer files for exposed credentials. When a secret is detected, the agent automatically quarantines the affected file, updates the MCP security state, logs the incident, generates a detailed forensic report, and displays live security statistics. This demonstrates autonomous threat detection, containment, and incident reporting using the Model Context Protocol.

Open Innovation track

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

Live MCP appSource code

Team NullPointers

  • Amritha SanthoshLead

  • K Krishnapriya

  • Bhadra A

  • Partishtha Mahajan

← All Amrita University Amritapuri campus projects

Frequently asked questions

What does LeakShield AI: An MCP-Powered Proactive Data Leak Containment Agent do?
Proactive Data Leak Containment Agent is an MCP-powered security assistant that continuously monitors developer files for exposed credentials. When a secret is detected, the agent automatically quarantines the affected file, updates the MCP security state, logs the incident, generates a detailed forensic report, and displays live security statistics. This demonstrates autonomous threat detection, containment, and incident reporting using the Model Context Protocol.
Who built LeakShield AI: An MCP-Powered Proactive Data Leak Containment Agent?
LeakShield AI: An MCP-Powered Proactive Data Leak Containment Agent was built by team NullPointers at the Amrita University Amritapuri campus 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.