Education & Research Team NeudanSubmitted July 26, 2026

SUMO AI MCP – AI-Powered Urban Traffic Simulation Platform

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

About this project

SUMO AI MCP is an intelligent urban traffic simulation and analytics platform. It connects Eclipse SUMO (Simulation of Urban Mobility) with the Model Context Protocol (MCP) via NitroStack (TypeScript) and FastMCP (Python). Instead of manually crafting complex XML files or executing multi-step CLI commands, users and LLM agents can design, run, visualize, and audit microscopic traffic simulations through natural language.

Education & Research track

Build innovative tools that transform learning, teaching, academic research, and knowledge discovery.

Source code

Team Team Neudan

  • Sanjay SLead

  • Hemanth S N

    X

  • Harshith K

  • Vikash Chowdri

← All Amrita University Coimbatore projects

Frequently asked questions

What does SUMO AI MCP – AI-Powered Urban Traffic Simulation Platform do?
SUMO AI MCP is an intelligent urban traffic simulation and analytics platform. It connects Eclipse SUMO (Simulation of Urban Mobility) with the Model Context Protocol (MCP) via NitroStack (TypeScript) and FastMCP (Python). Instead of manually crafting complex XML files or executing multi-step CLI commands, users and LLM agents can design, run, visualize, and audit microscopic traffic simulations through natural language.
Who built SUMO AI MCP – AI-Powered Urban Traffic Simulation Platform?
SUMO AI MCP – AI-Powered Urban Traffic Simulation Platform was built by team Team Neudan at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Education & Research 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.