Education & Research Team V4Submitted July 26, 2026

Ekalavya — the MCP that enables learning by building real projects with assistance for multiple AI Agents through live peer collaboration workspaces

An MCP app on the Model Context Protocol built by Team V4 at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

Ekalavya is an AI-powered career intelligence platform built as a native MCP server that fundamentally reimagines how people grow into their careers — not through passive tutorials or rote memorization, but through real projects, live collaboration, and ruthlessly personalized AI guidance. Upload your resume and Ekalavya's AI instantly dissects your skills, surfaces your blind spots, and maps the exact gap between where you are and where you want to be; paste any job description and get a precision-built learning roadmap tailored to close those gaps fast. The Group Foundry lets you create or join live collaborative workspaces where peers build real projects together using session codes, turning solo grinding into team momentum. An always-on AI career coach remembers your goals, tracks your growth stage from Seed to Tree, and gives you brutally honest, context-aware guidance every step of the way. Community channels keep you plugged into your domain's pulse, while intelligent job matching ranks live opportunities by how close your current skills are to the role — so you stop guessing and start targeting. Being MCP-native means Ekalavya plugs directly into Claude, ChatGPT, or any AI agent, turning your existing AI assistant into your personal career accelerator — no new app to learn, no friction, just results.

Education & Research track

Build innovative tools that transform learning, teaching, academic research, and knowledge discovery.

Team Team V4

  • Prajith SLead

  • Sakthi Charukesh S

  • SANGEETH

  • Pranav Kumar Reddy Patakota

Frequently asked questions

What does Ekalavya — the MCP that enables learning by building real projects with assistance for multiple AI Agents through live peer collaboration workspaces do?
Ekalavya is an AI-powered career intelligence platform built as a native MCP server that fundamentally reimagines how people grow into their careers — not through passive tutorials or rote memorization, but through real projects, live collaboration, and ruthlessly personalized AI guidance. Upload your resume and Ekalavya's AI instantly dissects your skills, surfaces your blind spots, and maps the exact gap between where you are and where you want to be; paste any job description and get a precision-built learning roadmap tailored to close those gaps fast. The Group Foundry lets you create or join live collaborative workspaces where peers build real projects together using session codes, turning solo grinding into team momentum. An always-on AI career coach remembers your goals, tracks your growth stage from Seed to Tree, and gives you brutally honest, context-aware guidance every step of the way. Community channels keep you plugged into your domain's pulse, while intelligent job matching ranks live opportunities by how close your current skills are to the role — so you stop guessing and start targeting. Being MCP-native means Ekalavya plugs directly into Claude, ChatGPT, or any AI agent, turning your existing AI assistant into your personal career accelerator — no new app to learn, no friction, just results.
Who built Ekalavya — the MCP that enables learning by building real projects with assistance for multiple AI Agents through live peer collaboration workspaces?
Ekalavya — the MCP that enables learning by building real projects with assistance for multiple AI Agents through live peer collaboration workspaces was built by team Team V4 at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Education & Research 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.