Enterprise AI & Workplace Automation CodeSmithsSubmitted July 18, 2026

AtlasOS — The AI Operating System for Enterprise Orchestration

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

About this project

AtlasOS is an intelligent orchestration control plane that transforms natural-language objectives into executable workflows using the Model Context Protocol (MCP). Instead of acting as a conventional chatbot, AtlasOS plans, coordinates, executes, and synthesizes complex multi-step tasks across connected AI agents, enterprise tools, and external services. A single prompt is automatically decomposed into a structured execution graph, where each node represents a specialized capability such as web research, code generation, database operations, file analysis, API interaction, or business intelligence. AtlasOS dynamically selects the appropriate MCP capabilities, executes them in real time, streams live execution updates, gracefully handles failures through resilient fallback mechanisms, and combines the outputs into a coherent, actionable response. Designed with a production-grade architecture, AtlasOS features a FastAPI backend, real-time WebSocket synchronization, dynamic workflow visualization, capability discovery, execution monitoring, and fault-tolerant orchestration. Every workflow is generated dynamically—there are no hardcoded execution paths or static responses—providing complete transparency into how AI systems reason, plan, and execute. Whether automating enterprise operations, accelerating software development, coordinating cybersecurity investigations, or powering intelligent business workflows, AtlasOS serves as the operating system that connects people, AI models, and tools into a unified execution platform. Key Features 🧠 Natural Language → Executable Workflows 🔗 MCP-Native Tool & Agent Orchestration 📊 Dynamic Workflow Graph Visualization ⚡ Real-Time Execution Monitoring via WebSockets 🛡️ Fault-Tolerant Execution with Intelligent Recovery 🔍 Transparent AI Planning & Decision Making 🔌 Extensible Plugin-Based Capability Registry 🏢 Enterprise-Ready Architecture

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 CodeSmiths

  • Atul RLead

  • Aishwarya S

  • Amritha T

  • Aaryan Ajeeth Kumar

← All Amrita University Amritapuri campus projects

Frequently asked questions

What does AtlasOS — The AI Operating System for Enterprise Orchestration do?
AtlasOS is an intelligent orchestration control plane that transforms natural-language objectives into executable workflows using the Model Context Protocol (MCP). Instead of acting as a conventional chatbot, AtlasOS plans, coordinates, executes, and synthesizes complex multi-step tasks across connected AI agents, enterprise tools, and external services. A single prompt is automatically decomposed into a structured execution graph, where each node represents a specialized capability such as web research, code generation, database operations, file analysis, API interaction, or business intelligence. AtlasOS dynamically selects the appropriate MCP capabilities, executes them in real time, streams live execution updates, gracefully handles failures through resilient fallback mechanisms, and combines the outputs into a coherent, actionable response. Designed with a production-grade architecture, AtlasOS features a FastAPI backend, real-time WebSocket synchronization, dynamic workflow visualization, capability discovery, execution monitoring, and fault-tolerant orchestration. Every workflow is generated dynamically—there are no hardcoded execution paths or static responses—providing complete transparency into how AI systems reason, plan, and execute. Whether automating enterprise operations, accelerating software development, coordinating cybersecurity investigations, or powering intelligent business workflows, AtlasOS serves as the operating system that connects people, AI models, and tools into a unified execution platform. Key Features 🧠 Natural Language → Executable Workflows 🔗 MCP-Native Tool & Agent Orchestration 📊 Dynamic Workflow Graph Visualization ⚡ Real-Time Execution Monitoring via WebSockets 🛡️ Fault-Tolerant Execution with Intelligent Recovery 🔍 Transparent AI Planning & Decision Making 🔌 Extensible Plugin-Based Capability Registry 🏢 Enterprise-Ready Architecture
Who built AtlasOS — The AI Operating System for Enterprise Orchestration?
AtlasOS — The AI Operating System for Enterprise Orchestration was built by team CodeSmiths 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.