Open Innovation TOOTHPASTE EATERSSubmitted August 1, 2026

TASIE — Autonomous AppSec over MCP

An MCP app on the Model Context Protocol built by TOOTHPASTE EATERS at the SRMIST NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

LLMs now write most code and get asked to review it for security — but they hallucinate both the bugs and the fixes. TASIE is an MCP server wrapping a ~90-engine detection backend and a Docker exploit sandbox: it finds a vulnerability, sends a real payload at the running app to prove it's exploitable (no proof, no report — which kills false positives), then patches it and re-runs the same attack to confirm the fix holds. Because it's MCP, any client — Claude, ChatGPT, Cursor — calls the same tool and gets ground truth, in the loop where developers already work.

Open Innovation track

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

Live MCP appSource codeLink

Team TOOTHPASTE EATERS

  • Ayush Bidwai

  • RAJDEEP KULKARNILead

  • MADHUR GROVER

  • Ayush Kulshreshtha

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Frequently asked questions

What does TASIE — Autonomous AppSec over MCP do?
LLMs now write most code and get asked to review it for security — but they hallucinate both the bugs and the fixes. TASIE is an MCP server wrapping a ~90-engine detection backend and a Docker exploit sandbox: it finds a vulnerability, sends a real payload at the running app to prove it's exploitable (no proof, no report — which kills false positives), then patches it and re-runs the same attack to confirm the fix holds. Because it's MCP, any client — Claude, ChatGPT, Cursor — calls the same tool and gets ground truth, in the loop where developers already work.
Who built TASIE — Autonomous AppSec over MCP?
TASIE — Autonomous AppSec over MCP was built by team TOOTHPASTE EATERS at the SRMIST 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.