Enterprise AI & Workplace Automation Alpha Script CodersSubmitted July 26, 2026

Multi Source Candidate Data Transformer

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

About this project

An autonomous AI-powered Candidate Intelligence Agent built on NitroStack that helps recruiters evaluate candidates by consolidating information from multiple sources into a single verified profile. The system retrieves live candidate data through the GitHub API, Portfolio combines it with resume information, detects inconsistencies across sources, assigns explainable confidence scores to each field, and generates a recruiter-friendly hiring summary with evidence-backed recommendations. Designed using NitroStack's agentic architecture, the solution leverages tools, resources, live API integration, and robust error handling to automate candidate verification, improve hiring decisions, and reduce manual screening effort.

Enterprise AI & Workplace Automation track

Develop AI agents and automation tools that improve productivity, streamline workflows, and enhance business operations.

Team Alpha Script Coders

  • Srividya ManikandanLead

  • MUPPIDI CHANDANA

  • S Adwaitha

  • Snigdha Sirivalli Appikonda

Frequently asked questions

What does Multi Source Candidate Data Transformer do?
An autonomous AI-powered Candidate Intelligence Agent built on NitroStack that helps recruiters evaluate candidates by consolidating information from multiple sources into a single verified profile. The system retrieves live candidate data through the GitHub API, Portfolio combines it with resume information, detects inconsistencies across sources, assigns explainable confidence scores to each field, and generates a recruiter-friendly hiring summary with evidence-backed recommendations. Designed using NitroStack's agentic architecture, the solution leverages tools, resources, live API integration, and robust error handling to automate candidate verification, improve hiring decisions, and reduce manual screening effort.
Who built Multi Source Candidate Data Transformer?
Multi Source Candidate Data Transformer was built by team Alpha Script Coders at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Enterprise AI & Workplace Automation 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.