Enterprise AI & Workplace Automation Server SquadSubmitted July 26, 2026

ZeroOps — Closing the Gap Between 'It Works Locally' and 'It's in Production

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

About this project

An MCP server that enables AI agents like ChatGPT, Claude, and Gemini to automate GitHub workflows and cloud deployments. It analyzes repositories, detects the tech stack, generates Dockerfiles and test-gated CI pipelines, creates commits and pull requests, performs deployment readiness and security checks, and deploys applications to Vercel, Netlify, Cloudflare Pages, and Render—all through natural language conversations.

Enterprise AI & Workplace Automation track

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

Live MCP appSource code

Team Server Squad

  • Sai SiddharthLead

  • Sadiq Baratam

  • Sanjay Rathinasamy

  • Narasimha Tanmai Kumar Bammidi

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Frequently asked questions

What does ZeroOps — Closing the Gap Between 'It Works Locally' and 'It's in Production do?
An MCP server that enables AI agents like ChatGPT, Claude, and Gemini to automate GitHub workflows and cloud deployments. It analyzes repositories, detects the tech stack, generates Dockerfiles and test-gated CI pipelines, creates commits and pull requests, performs deployment readiness and security checks, and deploys applications to Vercel, Netlify, Cloudflare Pages, and Render—all through natural language conversations.
Who built ZeroOps — Closing the Gap Between 'It Works Locally' and 'It's in Production?
ZeroOps — Closing the Gap Between 'It Works Locally' and 'It's in Production was built by team Server Squad 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.