BFSI & FinTech Deus ExSubmitted July 18, 2026

RegPilot-Nexus

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

About this project

RegPilot-Nexus is an MCP (Model Context Protocol) server that empowers AI agents to understand and reason over complex regulatory and compliance documents. Organizations struggle with fragmented regulations, manual compliance checks, and constantly evolving requirements, making compliance slow, expensive, and error-prone. RegPilot-Nexus addresses this by exposing standardized MCP tools for semantic document retrieval, obligation extraction, compliance reasoning, and real-time regulatory intelligence, enabling AI applications to automate compliance workflows with accuracy and consistency.

BFSI & FinTech track

Build AI solutions for banking, payments, insurance, fraud detection, lending, and financial inclusion.

Team Deus Ex

  • Kalidasan BLead

  • Adarsh Renjith

  • Aravind Ramesh Nair

  • Vishnu.S

Frequently asked questions

What does RegPilot-Nexus do?
RegPilot-Nexus is an MCP (Model Context Protocol) server that empowers AI agents to understand and reason over complex regulatory and compliance documents. Organizations struggle with fragmented regulations, manual compliance checks, and constantly evolving requirements, making compliance slow, expensive, and error-prone. RegPilot-Nexus addresses this by exposing standardized MCP tools for semantic document retrieval, obligation extraction, compliance reasoning, and real-time regulatory intelligence, enabling AI applications to automate compliance workflows with accuracy and consistency.
Who built RegPilot-Nexus?
RegPilot-Nexus was built by team Deus Ex at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon, in the BFSI & FinTech 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.