Education & Research npn run devSubmitted August 1, 2026

Invenio- search for interdisciplinary correlation among vast databases of reseach paers

An MCP app on the Model Context Protocol built by npn run dev at the SRMIST NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

Invenio is an autonomous AI research platform that leverages multiple MCP servers and AI agents to automate research discovery, evidence verification, knowledge correlation, and structured report generation from a single query.

Education & Research track

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

Live MCP appSource code

Team npn run dev

  • Lojjan Mahendran

  • Nishanth kannan

  • Naga Sai Pradhyumna PoolaLead

  • Aakriti Bhargava

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Frequently asked questions

What does Invenio- search for interdisciplinary correlation among vast databases of reseach paers do?
Invenio is an autonomous AI research platform that leverages multiple MCP servers and AI agents to automate research discovery, evidence verification, knowledge correlation, and structured report generation from a single query.
Who built Invenio- search for interdisciplinary correlation among vast databases of reseach paers?
Invenio- search for interdisciplinary correlation among vast databases of reseach paers was built by team npn run dev at the SRMIST 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.