Enterprise AI & Workplace Automation Byte BrigadeSubmitted July 26, 2026

EnterpriseAI:An Agentic MCP Platform

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

About this project

EnterpriseAI is an agentic Natural-Language-to-SQL platform that lets anyone in an organization query a complex ERP database — spanning 500+ tables — just by asking a question in plain English, no SQL knowledge required. Under the hood, a 10-step agentic pipeline normalizes the query, extracts intent, identifies the right domain and tables from the schema, plans a safe read-only query, generates SQL via an LLM (Groq/LLaMA), validates it against anti-hallucination and safety filters, self-heals on errors, executes it, and returns a natural-language summary with insights. We packaged the entire pipeline as an MCP (Model Context Protocol) server, exposed over HTTP — so it's not locked into one app. Any MCP-compatible AI client (Claude, agents, internal tools) can plug in and query enterprise data conversationally, turning a rigid ERP system into something employees can actually talk to — cutting the time from "I need this report" to an answer from minutes of manual SQL/BI work down to seconds

Enterprise AI & Workplace Automation track

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

Source code

Team Byte Brigade

  • Prathiksa PKLead

  • Jivin C

  • TEJASWI SRI S S

  • Varunicka P R

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Frequently asked questions

What does EnterpriseAI:An Agentic MCP Platform do?
EnterpriseAI is an agentic Natural-Language-to-SQL platform that lets anyone in an organization query a complex ERP database — spanning 500+ tables — just by asking a question in plain English, no SQL knowledge required. Under the hood, a 10-step agentic pipeline normalizes the query, extracts intent, identifies the right domain and tables from the schema, plans a safe read-only query, generates SQL via an LLM (Groq/LLaMA), validates it against anti-hallucination and safety filters, self-heals on errors, executes it, and returns a natural-language summary with insights. We packaged the entire pipeline as an MCP (Model Context Protocol) server, exposed over HTTP — so it's not locked into one app. Any MCP-compatible AI client (Claude, agents, internal tools) can plug in and query enterprise data conversationally, turning a rigid ERP system into something employees can actually talk to — cutting the time from "I need this report" to an answer from minutes of manual SQL/BI work down to seconds
Who built EnterpriseAI:An Agentic MCP Platform?
EnterpriseAI:An Agentic MCP Platform was built by team Byte Brigade 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.