Education & Research Team firstSubmitted July 18, 2026

Scholar Relay: The Next Generation of Academic Research

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

About this project

Scholar Relay is an AI-powered research assistant built using NitroStack MCP and LangGraph that helps students streamline the research process. It enables users to discover relevant research papers, generate summaries, build a structured bibliography, and seamlessly continue their research across devices using portable MCP Resources. The system also assists in checking citations and identifying unsupported claims while writing, making academic research faster, more organized, and more reliable.

Education & Research track

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

Team Team first

  • Gouthamkrishna VGLead

  • Adhithyan s

  • Abhinav P Madhu

  • Devadath Krishna

Frequently asked questions

What does Scholar Relay: The Next Generation of Academic Research do?
Scholar Relay is an AI-powered research assistant built using NitroStack MCP and LangGraph that helps students streamline the research process. It enables users to discover relevant research papers, generate summaries, build a structured bibliography, and seamlessly continue their research across devices using portable MCP Resources. The system also assists in checking citations and identifying unsupported claims while writing, making academic research faster, more organized, and more reliable.
Who built Scholar Relay: The Next Generation of Academic Research?
Scholar Relay: The Next Generation of Academic Research was built by team Team first 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.