What is amanasmuei nodemcu mcp
NodeMCU MCP (Model Context Protocol) Service
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A Model Context Protocol (MCP) service for managing NodeMCU devices. This service provides both a standard RESTful API/WebSocket interface and implements the Model Context Protocol for integration with AI tools like Claude Desktop.
Overview
NodeMCU MCP provides a management solution for ESP8266/NodeMCU IoT devices with these key capabilities:
- Monitor device status and telemetry
- Send commands to devices remotely
- Update device configurations
- Integration with AI assistants through MCP protocol
Visualizations
Features
- 🔌 Device Management: Register, monitor, and control NodeMCU devices
- 📊 Real-time Communication: WebSocket interface for real-time updates
- ⚙️ Configuration Management: Update device settings remotely
- 🔄 Command Execution: Send restart, update, status commands remotely
- 📡 Telemetry Collection: Gather sensor data and device metrics
- 🔐 Authentication: Secure API access with JWT authentication
- 🧠 AI Integration: Work with Claude Desktop and other MCP-compatible AI tools
Quick Start
Prerequisites
- Node.js 16.x or higher
- npm or yarn
- For the NodeMCU client: Arduino IDE with ESP8266 support
Installation
Installing via Smithery
To install NodeMCU Manager for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @amanasmuei/nodemcu-mcp --client claude
From npm (once published)
# Global installation (recommended for MCP integration)
npm install -g nodemcu-mcp
# Local installation
npm install nodemcu-mcp
From source
# Clone the repository
git clone https://github.com/amanasmuei/nodemcu-mcp.git
cd nodemcu-mcp
# Install dependencies
npm install
# Optional: Install globally for MCP integration
npm install -g .
Configuration
-
Create a
.env
file based on the example:cp .env.example .env
-
Update the
.env
file with your settings:# Server Configuration PORT=3000 HOST=localhost # Security JWT_SECRET=your_strong_random_secret_key # Log Level (error, warn, info, debug) LOG_LEVEL=info
Usage
Running as API Server
Development mode with auto-restart:
npm run dev
Production mode:
npm start
Running as MCP Server
For integration with Claude Desktop or other MCP clients:
npm run mcp
If installed globally:
nodemcu-mcp --mode=mcp
Command Line Options
Usage: nodemcu-mcp [options]
Options:
-m, --mode Run mode (mcp, api, both) [string] [default: "both"]
-p, --port Port for API server [number] [default: 3000]
-h, --help Show help [boolean]
--version Show version number [boolean]
MCP Integration
This project now uses the official Model Context Protocol (MCP) TypeScript SDK to provide integration with Claude for Desktop and other MCP clients.
MCP Tools
The following tools are available through the MCP interface:
- list-devices: List all registered NodeMCU devices and their status
- get-device: Get detailed information about a specific NodeMCU device
- send-command: Send a command to a NodeMCU device
- update-config: Update the configuration of a NodeMCU device
Using with Claude for Desktop
To use this server with Claude for Desktop:
- Install Claude for Desktop from https://claude.ai/desktop
- Configure Claude for Desktop by editing
~/Library/Application Support/Claude/claude_desktop_config.json
:
{
"mcpServers": {
"nodemcu": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/TO/YOUR/PROJECT/mcp_server_sdk.js"
]
}
}
}
- Restart Claude for Desktop
- You should now see the NodeMCU tools in the Claude for Desktop interface
Running the MCP Server Standalone
To run the MCP server directly:
npm run mcp
Or using the CLI:
.`/bin/cli.js` --mode=mcp
API Documentation
Authentication
-
POST /api/auth/login - Login and get JWT token
{ "username": "admin", "password": "admin123" }
Response:
{ "message": "Login successful", "token": "your.jwt.token", "user": { "id": 1, "username": "admin", "role": "admin" } }
-
POST /api/auth/validate - Validate JWT token
{ "token": "your.jwt.token" }
Devices API
All device endpoints require authentication with a JWT token:
Authorization: Bearer your.jwt.token
List Devices
GET /api/devices
Response:
{
"count": 1,
"devices": [
{
"id": "nodemcu-001",
"name": "Living Room Sensor",
"type": "ESP8266",
"status": "online",
"ip": "192.168.1.100",
"firmware": "1.0.0",
"lastSeen": "2023-05-15T14:30:45.123Z"
}
]
}
Get Device Details
GET /api/devices/:id
Response:
{
"id": "nodemcu-001",
"name": "Living Room Sensor",
"type": "ESP8266",
"status": "online",
"ip": "192.168.1.100",
"firmware": "1.0.0",
"lastSeen": "2023-05-15T14:30:45.123Z",
"config": {
"reportInterval": 30,
"debugMode": false,
"ledEnabled": true
},
"lastTelemetry": {
"temperature": 23.5,
"humidity": 48.2,
"uptime": 3600,
"heap": 35280,
"rssi": -68
}
}
Send Command to Device
POST /api/devices/:id/command
Request:
{
"command": "restart",
"params": {}
}
Response:
{
"message": "Command sent to device",
"command": "restart",
"params": {},
"response": {
"success": true,
"message": "Device restarting"
}
}
WebSocket Protocol
The WebSocket server is available at the root path: ws://your-server:3000/
For details on the WebSocket protocol messages, refer to the code or the examples directory.
NodeMCU Client Setup
Refer to the Arduino sketch in the examples
directory for a complete client implementation.
Key Steps
-
Install required libraries in Arduino IDE:
- ESP8266WiFi
- WebSocketsClient
- ArduinoJson
-
Configure the sketch with your WiFi and server settings:
// WiFi credentials const char* ssid = "YOUR_WIFI_SSID"; const char* password = "YOUR_WIFI_PASSWORD"; // MCP Server settings const char* mcpHost = "your-server-ip"; const int mcpPort = 3000;
-
Upload the sketch to your NodeMCU device
Development
Project Structure
nodemcu-mcp/
├── assets/ # Logo and other static assets
├── bin/ # CLI scripts
├── examples/ # Example client code
├── middleware/ # Express middleware
├── routes/ # API routes
├── services/ # Business logic
├── .env.example # Environment variables example
├── index.js # API server entry point
├── mcp_server.js # MCP protocol implementation
├── mcp-manifest.json # MCP manifest
└── package.json # Project configuration
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature
) - Commit your changes (
git commit -m 'Add some amazing feature'
) - Push to the branch (
git push origin feature/amazing-feature
) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
MIT License is a permissive license that allows you to:
- Use the software commercially
- Modify the software
- Distribute the software
- Use and modify the software privately
The only requirement is that the license and copyright notice must be included with the software.
Acknowledgments
- Model Context Protocol for the integration specification
- NodeMCU for the amazing IoT platform
- Anthropic for Claude Desktop
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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