Enterprise AI & Workplace Automation ZenithSubmitted July 18, 2026

Verifai : AI Hallucination Detection & Trust Scoring MCP Server

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

About this project

Verifai is a Model Context Protocol (MCP) server designed to detect, analyze, and score AI-generated hallucinations. By comparing agent statements against verified reference sources, Verifai computes deterministic trust scores, flags factual contradictions, and provides structured correction reports with citations.

Enterprise AI & Workplace Automation track

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

Live MCP appSource coder/mcptothemoon post

Team Zenith

  • Thakur Ajay SinghLead

  • Advaaid Nair

  • Lohith M

  • Prasanna

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Frequently asked questions

What does Verifai : AI Hallucination Detection & Trust Scoring MCP Server do?
Verifai is a Model Context Protocol (MCP) server designed to detect, analyze, and score AI-generated hallucinations. By comparing agent statements against verified reference sources, Verifai computes deterministic trust scores, flags factual contradictions, and provides structured correction reports with citations.
Who built Verifai : AI Hallucination Detection & Trust Scoring MCP Server?
Verifai : AI Hallucination Detection & Trust Scoring MCP Server was built by team Zenith at the Amrita University Amritapuri campus 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.