BFSI & FinTech CodeBeetlesSubmitted July 26, 2026

FINLY

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

About this project

Finly is a multi-agent personal finance assistant for two groups: people who are sold financial products they were never taught to evaluate, and people whose income isn't a salary. It explains the jargon used when money is being sold to you, shows what stopping a policy early would really cost, scores how much a seller actually disclosed, builds ordered plans for a first job or a house, and checks affordability against your weakest month rather than your average. No agent ever calculates — every figure comes from tested tools. It refuses to name products to buy, because that's regulated in India.

BFSI & FinTech track

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

Team CodeBeetles

  • Ananya PeriLead

  • Dharani Naidu Kolli

  • Aparna Bharani

  • Parkavi R

Frequently asked questions

What does FINLY do?
Finly is a multi-agent personal finance assistant for two groups: people who are sold financial products they were never taught to evaluate, and people whose income isn't a salary. It explains the jargon used when money is being sold to you, shows what stopping a policy early would really cost, scores how much a seller actually disclosed, builds ordered plans for a first job or a house, and checks affordability against your weakest month rather than your average. No agent ever calculates — every figure comes from tested tools. It refuses to name products to buy, because that's regulated in India.
Who built FINLY?
FINLY was built by team CodeBeetles 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.