BFSI & FinTech Fantastic_FourSubmitted July 26, 2026

SentinelPay-AI: Investigate. Verify. Explain. Approve.

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

About this project

SentinelPay AI is an intelligent payment investigation assistant built to help financial teams detect fraud, reduce risk, and make faster, more informed payment decisions. Instead of manually reviewing multiple systems and documents, users can interact with the platform using natural language to retrieve transaction details, verify vendors, analyze invoices, review payment history, evaluate policy compliance, assess financial risk, and generate approval recommendations. By combining structured financial data with AI-powered reasoning through the Model Context Protocol (MCP), SentinelPay AI simplifies complex investigation workflows, improves transparency, and helps organizations make consistent, explainable decisions while saving time and reducing operational overhead.

BFSI & FinTech track

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

Live MCP appSource code

Team Fantastic_Four

  • Thulasiram Sudheeswar ReddyLead

  • SANDIRI SHREE VARDHAN

  • BOYILLA CHARAN TEJA REDDY

  • Yashwanth Podupuganti

← All Amrita University Coimbatore projects

Frequently asked questions

What does SentinelPay-AI: Investigate. Verify. Explain. Approve. do?
SentinelPay AI is an intelligent payment investigation assistant built to help financial teams detect fraud, reduce risk, and make faster, more informed payment decisions. Instead of manually reviewing multiple systems and documents, users can interact with the platform using natural language to retrieve transaction details, verify vendors, analyze invoices, review payment history, evaluate policy compliance, assess financial risk, and generate approval recommendations. By combining structured financial data with AI-powered reasoning through the Model Context Protocol (MCP), SentinelPay AI simplifies complex investigation workflows, improves transparency, and helps organizations make consistent, explainable decisions while saving time and reducing operational overhead.
Who built SentinelPay-AI: Investigate. Verify. Explain. Approve.?
SentinelPay-AI: Investigate. Verify. Explain. Approve. was built by team Fantastic_Four at the Amrita University Coimbatore 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.