Education & Research Beta buildersSubmitted July 18, 2026

PathFinder-AI

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

About this project

PathFinder AI is an intelligent learning assistant built using NitroStack MCP (Model Context Protocol). It helps students discover structured learning resources, understand prerequisite concepts, follow personalized learning roadmaps, and receive curated book recommendations—all through an interactive AI-powered interface.

Education & Research track

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

Live MCP appSource code

Team Beta builders

  • Himateja GorlaLead

  • BATTA UMA MAHESH

  • NIMMAKAYALA P V T SURYA CHANDRA

  • Saikiran Kosuru

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Frequently asked questions

What does PathFinder-AI do?
PathFinder AI is an intelligent learning assistant built using NitroStack MCP (Model Context Protocol). It helps students discover structured learning resources, understand prerequisite concepts, follow personalized learning roadmaps, and receive curated book recommendations—all through an interactive AI-powered interface.
Who built PathFinder-AI?
PathFinder-AI was built by team Beta builders 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.