Open Innovation CortexAISubmitted July 26, 2026

QuantumSolve AI – Multi-Agent Quantum-Assisted Decision Intelligence Platform

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

About this project

QuantumSolve AI is a multi-agent AI platform that transforms complex real-world optimization problems into intelligent, explainable solutions. Users describe a problem in natural language, and specialized AI agents collaboratively research the domain, retrieve relevant knowledge, formulate optimization models, evaluate quantum feasibility, benchmark classical and quantum approaches, and generate actionable recommendations. The system is powered by a FastAPI orchestration layer, a deployed NitroStack MCP server with 18 specialized tools, and an interactive Next.js frontend. By combining Retrieval-Augmented Generation (RAG), optimization algorithms, quantum-inspired analysis, benchmarking, and automated report generation, QuantumSolve AI enables organizations, researchers, and developers to solve complex decision-making challenges without requiring expertise in optimization or quantum computing.

Open Innovation track

Solve any real-world problem with AI, regardless of industry or domain.

Live MCP appSource code

Team CortexAI

  • A PARDHAV REDDYLead

  • Dhiren Vasudeva

  • Chunduru Venkata Abhiram

  • Madhumitha S

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Frequently asked questions

What does QuantumSolve AI – Multi-Agent Quantum-Assisted Decision Intelligence Platform do?
QuantumSolve AI is a multi-agent AI platform that transforms complex real-world optimization problems into intelligent, explainable solutions. Users describe a problem in natural language, and specialized AI agents collaboratively research the domain, retrieve relevant knowledge, formulate optimization models, evaluate quantum feasibility, benchmark classical and quantum approaches, and generate actionable recommendations. The system is powered by a FastAPI orchestration layer, a deployed NitroStack MCP server with 18 specialized tools, and an interactive Next.js frontend. By combining Retrieval-Augmented Generation (RAG), optimization algorithms, quantum-inspired analysis, benchmarking, and automated report generation, QuantumSolve AI enables organizations, researchers, and developers to solve complex decision-making challenges without requiring expertise in optimization or quantum computing.
Who built QuantumSolve AI – Multi-Agent Quantum-Assisted Decision Intelligence Platform?
QuantumSolve AI – Multi-Agent Quantum-Assisted Decision Intelligence Platform was built by team CortexAI at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Open Innovation 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.