Hack horizonSubmitted July 18, 2026

FinAnalyst AI — MCP-Powered Intelligent Stock Analysis

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

About this project

FinAnalyst AI is an AI-powered financial analysis platform built using the Model Context Protocol (MCP) to make stock analysis faster, simpler, and more accessible. The platform connects to live financial market data and provides investors with key company and stock insights through specialized MCP tools. Users can enter a stock symbol such as AAPL and instantly retrieve company information, current stock price, sector and industry details, financial performance metrics, and technical indicators. Our system analyzes important factors including quarterly revenue growth, EBIT margins, 50-day moving averages, and 200-day moving averages. These insights can be presented through an interactive Financial Analyst dashboard to help users understand a company's financial health and market momentum. The project is designed for retail investors, students, and anyone who wants to understand stocks without manually analyzing large amounts of financial data. What makes FinAnalyst AI unique is its MCP-based modular architecture. Instead of being a simple static finance dashboard, it exposes specialized financial tools that AI agents can discover and use dynamically. The system integrates live Yahoo Finance data with MCP tools and an interactive widget-based interface, creating a foundation for AI-powered investment analysis. The goal is to make financial analysis more understandable, efficient, and accessible while demonstrating how AI agents and MCP can be applied to real-world FinTech problems.

Team Hack horizon

  • Nallabati Venkata Durga Sai Sarat ChandraLead

  • Lokesh makka

  • Nunna mokshith

  • Dinesh pamarathi

Frequently asked questions

What does FinAnalyst AI — MCP-Powered Intelligent Stock Analysis do?
FinAnalyst AI is an AI-powered financial analysis platform built using the Model Context Protocol (MCP) to make stock analysis faster, simpler, and more accessible. The platform connects to live financial market data and provides investors with key company and stock insights through specialized MCP tools. Users can enter a stock symbol such as AAPL and instantly retrieve company information, current stock price, sector and industry details, financial performance metrics, and technical indicators. Our system analyzes important factors including quarterly revenue growth, EBIT margins, 50-day moving averages, and 200-day moving averages. These insights can be presented through an interactive Financial Analyst dashboard to help users understand a company's financial health and market momentum. The project is designed for retail investors, students, and anyone who wants to understand stocks without manually analyzing large amounts of financial data. What makes FinAnalyst AI unique is its MCP-based modular architecture. Instead of being a simple static finance dashboard, it exposes specialized financial tools that AI agents can discover and use dynamically. The system integrates live Yahoo Finance data with MCP tools and an interactive widget-based interface, creating a foundation for AI-powered investment analysis. The goal is to make financial analysis more understandable, efficient, and accessible while demonstrating how AI agents and MCP can be applied to real-world FinTech problems.
Who built FinAnalyst AI — MCP-Powered Intelligent Stock Analysis?
FinAnalyst AI — MCP-Powered Intelligent Stock Analysis was built by team Hack horizon at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon.
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.