BFSI & FinTech Sambar SpartansSubmitted July 26, 2026

RemitWise AI

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

About this project

Every day, millions of people send money across borders—to support their families, pay university tuition, cover medical emergencies, or manage business payments. But choosing the right remittance provider isn't as simple as it should be. Users are often forced to compare multiple platforms, understand fluctuating exchange rates, calculate hidden fees, estimate delivery times, and navigate compliance requirements, all while hoping they're making the right financial decision. That's where RemitWise AI comes in. We've built an intelligent multi-agent platform that takes the complexity out of international remittances. Instead of making users do all the research themselves, our AI agents work together to analyze the transfer, compare providers in real time, evaluate compliance requirements, and recommend the best option based on the user's priorities—whether that's the lowest cost, fastest delivery, or best exchange rate. But we didn't stop at recommendations. We wanted users to trust every decision our platform makes. That's why RemitWise AI provides transparent AI reasoning, live provider comparisons, interactive visualizations, a real-time agent execution pipeline, compliance insights, and exchange-rate predictions that help users decide not just where to send money, but also when to send it. At its core, RemitWise AI isn't just another remittance tool—it's an intelligent financial decision-making platform that empowers users to transfer money with confidence, transparency, and peace of mind.

BFSI & FinTech track

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

Team Sambar Spartans

  • Vijayaragunathan.RLead

  • Akash prasad

  • A.Gowshik

  • Kavin M

Frequently asked questions

What does RemitWise AI do?
Every day, millions of people send money across borders—to support their families, pay university tuition, cover medical emergencies, or manage business payments. But choosing the right remittance provider isn't as simple as it should be. Users are often forced to compare multiple platforms, understand fluctuating exchange rates, calculate hidden fees, estimate delivery times, and navigate compliance requirements, all while hoping they're making the right financial decision. That's where RemitWise AI comes in. We've built an intelligent multi-agent platform that takes the complexity out of international remittances. Instead of making users do all the research themselves, our AI agents work together to analyze the transfer, compare providers in real time, evaluate compliance requirements, and recommend the best option based on the user's priorities—whether that's the lowest cost, fastest delivery, or best exchange rate. But we didn't stop at recommendations. We wanted users to trust every decision our platform makes. That's why RemitWise AI provides transparent AI reasoning, live provider comparisons, interactive visualizations, a real-time agent execution pipeline, compliance insights, and exchange-rate predictions that help users decide not just where to send money, but also when to send it. At its core, RemitWise AI isn't just another remittance tool—it's an intelligent financial decision-making platform that empowers users to transfer money with confidence, transparency, and peace of mind.
Who built RemitWise AI?
RemitWise AI was built by team Sambar Spartans 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.