OmniMCP
Enables AI agents to discover, monitor, and control industrial hardware like ESP32 machine controllers and inspection cameras through a standardized MCP interface.
README
OmniMCP — The Universal Interface Between AI and Industrial Hardware
A universal hardware capability layer that enables AI agents to discover, monitor, and control industrial devices through the Model Context Protocol (MCP).
OmniMCP is an MCP server built using NitroStack that provides a unified interface between AI applications and industrial hardware. Instead of building custom integrations for every device, OmniMCP allows hardware to be connected through lightweight adapters that expose standardized capabilities via the Model Context Protocol (MCP).
Our prototype currently includes an ESP32 Machine Controller and an Inspection Camera Adapter, with an architecture designed to support PLCs, CNC machines, robots, sensors, and other Industry 4.0 devices.
Table of Contents
- Overview
- What is MCP?
- Features
- Live Demo
- Available Hardware
- Available MCP Tools
- Getting Started
- Connect to an MCP Client
- Architecture
- Future Roadmap
- Built with NitroStack
- Team
- License
Overview
Industrial hardware typically exposes different APIs, SDKs, and communication protocols, making AI integration complex and difficult to scale.
OmniMCP solves this by introducing a universal hardware capability layer built on the Model Context Protocol (MCP).
Each supported device is wrapped in a lightweight adapter that exposes common capabilities such as:
- Machine control
- Device monitoring
- Image capture
- Sensor access
This allows AI assistants to interact with different hardware through a single, standardized interface without worrying about vendor-specific implementations.
What is MCP?
The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely interact with external tools, services, and hardware.
OmniMCP exposes industrial devices as MCP Tools, Resources, and Prompts, making them compatible with clients such as:
- Claude Desktop
- Cursor
- NitroStudio
- MCP Inspector
- Any MCP-compatible client
Features
- Universal hardware abstraction layer
- Modular adapter-based architecture
- ESP32 Machine Controller
- Inspection Camera Adapter
- Automatic hardware discovery
- Device connection management
- MCP Tools
- MCP Resources
- MCP Prompts
- Built and deployed using NitroStack
- Easily extendable for future industrial hardware
Live Demo
🚀 Live MCP Endpoint
https://omnimcp-6a5b3a86-d4rk-null-amrita-university-amritapuri-campus.app.nitrocloud.ai
💻 GitHub Repository
https://github.com/gautham-sai05/omni-mcp
Available Hardware
ESP32 Machine Controller
Capabilities:
- Connect to hardware
- Execute commands
- Read device status
- Simulate industrial machine control
Inspection Camera Adapter
Capabilities:
- Capture inspection images
- Standardized image responses
- Laptop webcam support
- Ready for ESP32-CAM integration
Available MCP Tools
| Tool | Description |
|---|---|
list_devices |
Discover registered hardware |
connect_device |
Connect to a hardware adapter |
disconnect_device |
Disconnect hardware |
device_status |
Retrieve current device status |
execute_command |
Execute adapter-specific commands |
Available MCP Resources
hardware://devices/available
hardware://devices/connected
hardware://system/health
Getting Started
Install
git clone https://github.com/gautham-sai05/omni-mcp.git
cd omni-mcp
npm install
Configure
Copy the environment file.
cp .env.example .env
Example:
PORT=3000
CAMERA_SOURCE=laptop
ESP32_CAM_URL=http://192.168.1.xxx
Run
npm run build
npm run start
The MCP endpoint will be available at
http://localhost:3000/mcp
Connect to an MCP Client
Example MCP configuration:
{
"mcpServers": {
"omnimcp": {
"url": "https://omnimcp-6a5b3a86-d4rk-null-amrita-university-amritapuri-campus.app.nitrocloud.ai"
}
}
}
Compatible with:
- Claude Desktop
- Cursor
- NitroStudio
- MCP Inspector
Architecture
AI Client
(Claude / Cursor / NitroStudio)
│
▼
OmniMCP Server
│
Adapter Manager
┌─────────┴─────────┐
▼ ▼
ESP32 Adapter Camera Adapter
│ │
▼ ▼
Machine Controller Inspection Camera
Future Roadmap
Planned hardware adapters include:
- PLCs
- Robot Arms
- CNC Machines
- Modbus Devices
- MQTT Devices
- OPC-UA
- Industrial Sensors
- AI-powered Vision Systems
- Digital Twin Integration
Built with NitroStack
OmniMCP was developed and deployed using NitroStack, which simplified building an MCP server by providing the infrastructure for Tools, Resources, dependency injection, and deployment.
This allowed us to focus on solving the hardware integration problem while NitroStack handled the MCP server framework.
Learn more about NitroStack:
https://nitrostack.ai
Team
Team D4RK NULL
- Abisher R Nair
- Alwin Varghese
- Gautham Sai
- Gunisha Kaur
License
MIT License
⭐ If you found this project interesting, consider giving it a star!
Built with ❤️ for the NitroStack × Amrita University MCP Hackathon
OmniMCP — One Interface. Every Machine. Any AI.
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