BFSI & FinTech Ashwamedha.exeSubmitted July 26, 2026

A multi-agent MCP based tool that turns market noise into transparent, reasoned buy/watch/sell signals.

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

About this project

Built on the Model Context Protocol (MCP), three LLM agents — Scout, Analyst, and Skeptic — debate each other through shared resources to produce a signal you can actually interrogate. A Next.js widget renders the entire handoff: headline found → signal scored → skeptic challenge → final verdict.

BFSI & FinTech track

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

Source codeLinkedin

Team Ashwamedha.exe

  • Haridev PLead

  • Anaswara K

  • Akshay Krishna P S

  • Amritha S Nidhi

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Frequently asked questions

What does A multi-agent MCP based tool that turns market noise into transparent, reasoned buy/watch/sell signals. do?
Built on the Model Context Protocol (MCP), three LLM agents — Scout, Analyst, and Skeptic — debate each other through shared resources to produce a signal you can actually interrogate. A Next.js widget renders the entire handoff: headline found → signal scored → skeptic challenge → final verdict.
Who built A multi-agent MCP based tool that turns market noise into transparent, reasoned buy/watch/sell signals.?
A multi-agent MCP based tool that turns market noise into transparent, reasoned buy/watch/sell signals. was built by team Ashwamedha.exe 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.