Open Innovation VaranasiSubmitted July 18, 2026

NyayaOS – Intelligent Judicial Workflow Automation Using MCP and Agentic AI

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

About this project

NyayaOS is an Agentic AI Operating System for the Justice Ecosystem that streamlines and automates end-to-end judicial workflows using specialized AI agents and Model Context Protocol (MCP) servers. Unlike traditional legal chatbots that only answer questions, NyayaOS intelligently coordinates complete legal processes, including case intake, identity verification, document processing, case registration, legal research, hearing scheduling, notifications, and AI-assisted decision support while ensuring that judges and authorized officials retain full control over all critical legal decisions. The platform is designed for citizens, lawyers, judges, court registry officials, and judicial administrators, providing each stakeholder with dedicated tools to simplify legal processes, reduce administrative workload, and improve access to justice. What makes NyayaOS unique is its modular Agentic AI architecture, where a Planner Agent analyzes user requests and orchestrates multiple domain-specific MCP servers to execute tasks efficiently, making the system scalable, explainable, secure, and easy to extend. By combining AI-driven reasoning, Retrieval-Augmented Generation (RAG), and standardized MCP-based integrations, NyayaOS transforms fragmented judicial systems into a unified intelligent platform that accelerates case processing, enhances transparency, improves legal research, and enables faster, more efficient, and accessible justice without replacing human judgment.

Open Innovation track

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

Live MCP appSource code

Team Varanasi

  • M.S.RajamouliLead

  • Kanduri Venkata Sai Mani Avinash

    X

  • Kolli Bhanu Sai Raj

  • BASIREDDY RAJMOHITH REDDY

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Frequently asked questions

What does NyayaOS – Intelligent Judicial Workflow Automation Using MCP and Agentic AI do?
NyayaOS is an Agentic AI Operating System for the Justice Ecosystem that streamlines and automates end-to-end judicial workflows using specialized AI agents and Model Context Protocol (MCP) servers. Unlike traditional legal chatbots that only answer questions, NyayaOS intelligently coordinates complete legal processes, including case intake, identity verification, document processing, case registration, legal research, hearing scheduling, notifications, and AI-assisted decision support while ensuring that judges and authorized officials retain full control over all critical legal decisions. The platform is designed for citizens, lawyers, judges, court registry officials, and judicial administrators, providing each stakeholder with dedicated tools to simplify legal processes, reduce administrative workload, and improve access to justice. What makes NyayaOS unique is its modular Agentic AI architecture, where a Planner Agent analyzes user requests and orchestrates multiple domain-specific MCP servers to execute tasks efficiently, making the system scalable, explainable, secure, and easy to extend. By combining AI-driven reasoning, Retrieval-Augmented Generation (RAG), and standardized MCP-based integrations, NyayaOS transforms fragmented judicial systems into a unified intelligent platform that accelerates case processing, enhances transparency, improves legal research, and enables faster, more efficient, and accessible justice without replacing human judgment.
Who built NyayaOS – Intelligent Judicial Workflow Automation Using MCP and Agentic AI?
NyayaOS – Intelligent Judicial Workflow Automation Using MCP and Agentic AI was built by team Varanasi at the Amrita University Amritapuri campus 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.