Open Innovation AIverseSubmitted July 26, 2026

citymind.ai

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

About this project

Citizens report civic issues (potholes, leaks, garbage, streetlights) with a photo, voice note, or GPS pin, and instead of it disappearing into a queue, a real AI agent takes over: it plans the steps, calls actual tools to classify, assess severity, route it, and set a deadline — then either finishes the job on its own or stops and asks a human to approve. It's built for residents (simple reporting + real tracking), officials (routine work pre-triaged, only pulled in when needed), and the institution (full audit trail of every decision). What makes it special: it's a genuine agent, not an AI label-generator — you watch it plan and act live through real MCP tool calls, not a canned result. And it knows when not to act alone — a visible approval gate blocks anything risky until a human says yes. That's what makes it trustworthy enough for government use, and portable enough to work anywhere an AI agent needs to be trusted with real actions.

Open Innovation track

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

Team AIverse

  • Divya Sri kLead

  • Drisya S

  • Kruthic Kumar N L

  • Swetha Thiruvenkatam

Frequently asked questions

What does citymind.ai do?
Citizens report civic issues (potholes, leaks, garbage, streetlights) with a photo, voice note, or GPS pin, and instead of it disappearing into a queue, a real AI agent takes over: it plans the steps, calls actual tools to classify, assess severity, route it, and set a deadline — then either finishes the job on its own or stops and asks a human to approve. It's built for residents (simple reporting + real tracking), officials (routine work pre-triaged, only pulled in when needed), and the institution (full audit trail of every decision). What makes it special: it's a genuine agent, not an AI label-generator — you watch it plan and act live through real MCP tool calls, not a canned result. And it knows when not to act alone — a visible approval gate blocks anything risky until a human says yes. That's what makes it trustworthy enough for government use, and portable enough to work anywhere an AI agent needs to be trusted with real actions.
Who built citymind.ai?
citymind.ai was built by team AIverse 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.