README.md

---
title: Agent2Robot
emoji: 🤖🚁
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.40.0
app_file: app.py
pinned: true
license: apache-2.0
short_description: 'AI-Powered Vehicle Design Assistant with MCP Integration for autonomous robots, drones, and vehicles.'
tags:
  - 'mcp-server-track'
  - 'agent-demo-track'
---

# 🤖🚁 Agent2Robot - MCP Hackathon 2024

**AI-Powered Vehicle Design Assistant** for the MCP (Model Context Protocol) Hackathon

## 🚀 About

Agent2Robot is an intelligent design assistant that leverages AI to create optimized vehicle designs for various applications. Built specifically for the MCP Hackathon 2024, this tool demonstrates the power of AI-assisted engineering and design automation with **Model Context Protocol integration**.

## 🎯 Features

- **🤖 Robot Design**: Ground-based autonomous vehicles for navigation and delivery
- **🚁 Drone Design**: Aerial vehicles for surveillance and inspection
- **🚗 Autonomous Vehicles**: Self-driving transportation systems
- **🦾 Robotic Arms**: Industrial and service robotic manipulators

## 🛠️ How to Use

1. Select your vehicle type from the dropdown
2. Describe your design requirements and specifications  
3. Click "Generate Design with MCP" to create optimized specifications
4. Review the detailed design report and technical specifications

## 🏆 MCP Hackathon Integration

This project showcases how **Model Context Protocol (MCP)** can be integrated into engineering workflows to:
- Automate design specification generation through MCP server communication
- Optimize performance parameters using context-aware AI
- Generate comprehensive technical documentation with MCP validation
- Accelerate the design-to-deployment pipeline through modular architecture

## 🔧 Technical Implementation

- **Framework**: Gradio for interactive interface
- **MCP Integration**: `mcp_client.py` for server communication
- **Design Engine**: `design_tools.py` with MCP-enhanced processing
- **Architecture**: Clean modular structure following MCP best practices
- **Deployment**: HuggingFace Spaces compatible

## 📂 Repository Structure

```
├── app.py              # Main Gradio interface
├── mcp_client.py       # MCP server communication
├── design_tools.py     # Core design functionality  
├── requirements.txt    # Dependencies
└── backup/            # Development files
```

**Development Branch**: `main` (primary development branch)

Built with ❤️ for MCP Hackathon 2024