BFSI & FinTech AlphaStackSubmitted July 18, 2026

InvestIQ — an MCP that turns "analyze Reliance" into a live, explainable investment report

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

About this project

InvestIQ is an autonomous investment analyst built entirely on orchestrated MCP tools — not a chatbot wrapper around one API call. Ask "Analyze NVIDIA" (or any global stock) and the host LLM discovers and chains 7 independent tools: get_stock_quote → get_company_profile → get_basic_financials → get_company_news → summarize_news → analyze_stock → generate_investment_report, each rendering its own dark-mode widget with a live execution timeline that makes the orchestration visible to the user. Who it's for: retail investors, finance students, and anyone who wants a fast, explainable read on a stock without a paid terminal. What makes it special: • Real multi-tool orchestration, not a monolithic "analyze" endpoint — each tool is independently reusable • Deterministic, rule-based analysis engine — every strength/weakness/risk cites the actual number behind it (e.g. "P/E of 54.2 is well above the ~20x market average"), not an LLM guess. No financial advice, full reasoning transparency. • True global coverage: Finnhub for US markets, with an automatic Yahoo Finance fallback for exchanges Finnhub's free tier can't serve (NSE/BSE India, etc.) — including plain-English name resolution, so "analyze reliance" or "analyze itc" just works • Every response is tagged with its actual data source (Finnhub vs Yahoo Finance) for full transparency • Zero conversational logic in the server itself — it's pure, composable MCP tools; all orchestration and synthesis happens at the host LLM layer

BFSI & FinTech track

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

Team AlphaStack

  • Bharath KLead

  • Aibin k Jayab

  • Adithya vs

  • Sarang M

Frequently asked questions

What does InvestIQ — an MCP that turns "analyze Reliance" into a live, explainable investment report do?
InvestIQ is an autonomous investment analyst built entirely on orchestrated MCP tools — not a chatbot wrapper around one API call. Ask "Analyze NVIDIA" (or any global stock) and the host LLM discovers and chains 7 independent tools: get_stock_quote → get_company_profile → get_basic_financials → get_company_news → summarize_news → analyze_stock → generate_investment_report, each rendering its own dark-mode widget with a live execution timeline that makes the orchestration visible to the user. Who it's for: retail investors, finance students, and anyone who wants a fast, explainable read on a stock without a paid terminal. What makes it special: • Real multi-tool orchestration, not a monolithic "analyze" endpoint — each tool is independently reusable • Deterministic, rule-based analysis engine — every strength/weakness/risk cites the actual number behind it (e.g. "P/E of 54.2 is well above the ~20x market average"), not an LLM guess. No financial advice, full reasoning transparency. • True global coverage: Finnhub for US markets, with an automatic Yahoo Finance fallback for exchanges Finnhub's free tier can't serve (NSE/BSE India, etc.) — including plain-English name resolution, so "analyze reliance" or "analyze itc" just works • Every response is tagged with its actual data source (Finnhub vs Yahoo Finance) for full transparency • Zero conversational logic in the server itself — it's pure, composable MCP tools; all orchestration and synthesis happens at the host LLM layer
Who built InvestIQ — an MCP that turns "analyze Reliance" into a live, explainable investment report?
InvestIQ — an MCP that turns "analyze Reliance" into a live, explainable investment report was built by team AlphaStack 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.