Education & Research Amsqads [amFOSS]Submitted July 18, 2026

Simulation MCP: AI-Powered Multi-Domain Engineering Design & Simulation Platform

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

About this project

Simulation MCP is a Model Context Protocol (MCP) server that bridges Large Language Models (LLMs) such as ChatGPT, Claude, and Gemini with industry-standard engineering software, enabling users to perform CAD design, molecular modeling, and engineering simulations through natural language. Instead of requiring expertise in multiple specialized software packages, users simply describe their engineering problem in plain English. Simulation MCP intelligently interprets the request, generates an execution plan, selects the appropriate software, automates the workflow, executes the required analysis, and returns interactive visualizations, numerical results, and AI-powered explanations. The platform is designed around a modular MCP architecture where each engineering application operates as an independent service. This enables seamless integration of multiple engineering domains while eliminating the need to manually switch between software, configure solvers, or prepare simulation models. By combining AI planning, automated software orchestration, and professional engineering tools under a single MCP interface, Simulation MCP significantly reduces the complexity of engineering design workflows, allowing students, researchers, and engineers to focus on innovation rather than software operation.

Education & Research track

Build innovative tools that transform learning, teaching, academic research, and knowledge discovery.

Team Amsqads [amFOSS]

  • Harikrishna T PLead

  • Nandu Krishna M

  • Peechara Harshith Rao

  • Tulasi Lasya Gorrela

Frequently asked questions

What does Simulation MCP: AI-Powered Multi-Domain Engineering Design & Simulation Platform do?
Simulation MCP is a Model Context Protocol (MCP) server that bridges Large Language Models (LLMs) such as ChatGPT, Claude, and Gemini with industry-standard engineering software, enabling users to perform CAD design, molecular modeling, and engineering simulations through natural language. Instead of requiring expertise in multiple specialized software packages, users simply describe their engineering problem in plain English. Simulation MCP intelligently interprets the request, generates an execution plan, selects the appropriate software, automates the workflow, executes the required analysis, and returns interactive visualizations, numerical results, and AI-powered explanations. The platform is designed around a modular MCP architecture where each engineering application operates as an independent service. This enables seamless integration of multiple engineering domains while eliminating the need to manually switch between software, configure solvers, or prepare simulation models. By combining AI planning, automated software orchestration, and professional engineering tools under a single MCP interface, Simulation MCP significantly reduces the complexity of engineering design workflows, allowing students, researchers, and engineers to focus on innovation rather than software operation.
Who built Simulation MCP: AI-Powered Multi-Domain Engineering Design & Simulation Platform?
Simulation MCP: AI-Powered Multi-Domain Engineering Design & Simulation Platform was built by team Amsqads [amFOSS] at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon, in the Education & Research 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.