Education & Research RAWSubmitted July 18, 2026

LATO

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

About this project

IT IS A RESEARCH TOOL INTEGRATED WITH AN MCP WHICH IS ALSO A LATEX EDITOR .THIS IS JUST A PROOF OF CONCEPT OF A COMPLEX PRODUCT WHICH IS SET TO A SMALLER PROTOTYPE WHICH ISNT EVEN 10 PERCENT OF THE PROJECT . THE SCALABILITY OF THE PRODUCT IN LARGE CUZ THERE IS NO DIPRESSION IN THE GRAPH OF RESEARCHERS AND RESEARCH INTRESTED PEOPLE IN THE LAST DECADE. THE TOOLS USE SOME MAJOR MCP TECHNIQUES TO BUILD THE PROTOTYPE OF THE LARGER CONCEPT . THE IMPACT OF THE TOOL COULD REDUCE TIME ,MONEY AND EFFORT WHICH ARE THE MOST IMPORTANT FACTORS.

Education & Research track

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

Live MCP appSource code

Team RAW

  • Devapriyan G SLead

  • Arjun M Baburaj

  • Govind G Prabhu

  • Joshua Alias

← All Amrita University Amritapuri campus projects

Frequently asked questions

What does LATO do?
IT IS A RESEARCH TOOL INTEGRATED WITH AN MCP WHICH IS ALSO A LATEX EDITOR .THIS IS JUST A PROOF OF CONCEPT OF A COMPLEX PRODUCT WHICH IS SET TO A SMALLER PROTOTYPE WHICH ISNT EVEN 10 PERCENT OF THE PROJECT . THE SCALABILITY OF THE PRODUCT IN LARGE CUZ THERE IS NO DIPRESSION IN THE GRAPH OF RESEARCHERS AND RESEARCH INTRESTED PEOPLE IN THE LAST DECADE. THE TOOLS USE SOME MAJOR MCP TECHNIQUES TO BUILD THE PROTOTYPE OF THE LARGER CONCEPT . THE IMPACT OF THE TOOL COULD REDUCE TIME ,MONEY AND EFFORT WHICH ARE THE MOST IMPORTANT FACTORS.
Who built LATO?
LATO was built by team RAW at the Amrita University Amritapuri campus 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.