CMMS MCP Server
Integrates with MES, CMMS, and IoT systems to manage manufacturing operations, maintenance tasks, and asset tracking. It enables users to query production orders, create maintenance records, and monitor real-time sensor data and alerts.
README
CMMS MCP Server
A Model Context Protocol (MCP) server that integrates with MES (Manufacturing Execution System), CMMS (Computerized Maintenance Management System), and IoT systems. This server provides tools and resources to interact with manufacturing, maintenance, and IoT data.
Features
MES Integration
- Production Orders: Query production orders by status or ID
- Work Orders: Get work orders filtered by status or production order
- Equipment: Monitor equipment status and details
CMMS Integration
- Maintenance Tasks: Query, filter, and create maintenance tasks
- Assets: Get asset information and status
- Maintenance History: Access historical maintenance records
IoT Integration
- Sensors: Query sensor information and configurations
- Sensor Readings: Get real-time and historical sensor data
- Devices: Monitor IoT device status
- Alerts: View and acknowledge IoT alerts
Installation
- Install dependencies:
npm install
- Build the project:
npm run build
Usage
Running the Server
The server runs on stdio and can be used with MCP-compatible clients:
npm start
For development with auto-reload:
npm run dev
MCP Client Configuration
Add this server to your MCP client configuration (e.g., in Claude Desktop's claude_desktop_config.json):
{
"mcpServers": {
"cmms-mcp-server": {
"command": "node",
"args": ["/path/to/cmms-mcp-server/dist/index.js"]
}
}
}
Available Tools
MES Tools
get_production_orders
Get production orders from MES system.
Parameters:
status(optional): Filter by status (planned,in-progress,completed,cancelled)orderId(optional): Get specific production order by ID
Example:
{
"status": "in-progress"
}
get_work_orders
Get work orders from MES system.
Parameters:
status(optional): Filter by status (pending,in-progress,completed,on-hold)productionOrderId(optional): Filter by production order ID
get_equipment
Get equipment status from MES system.
Parameters:
status(optional): Filter by status (running,idle,maintenance,error)equipmentId(optional): Get specific equipment by ID
CMMS Tools
get_maintenance_tasks
Get maintenance tasks from CMMS system.
Parameters:
status(optional): Filter by status (scheduled,in-progress,completed,cancelled,overdue)priority(optional): Filter by priority (low,medium,high,critical)taskType(optional): Filter by type (preventive,corrective,inspection,calibration)assetId(optional): Filter by asset ID
get_assets
Get assets from CMMS system.
Parameters:
status(optional): Filter by status (operational,maintenance,out-of-service,retired)assetId(optional): Get specific asset by ID
get_maintenance_history
Get maintenance history from CMMS system.
Parameters:
assetId(optional): Filter by asset IDstartDate(optional): Start date for history (ISO format)endDate(optional): End date for history (ISO format)
create_maintenance_task
Create a new maintenance task in CMMS system.
Required Parameters:
assetId: Asset ID for the maintenance tasktaskType: Type of maintenance task (preventive,corrective,inspection,calibration)priority: Priority of the task (low,medium,high,critical)scheduledDate: Scheduled date (ISO format)dueDate: Due date (ISO format)assignedTo: Technician ID assigned to the taskdescription: Description of the maintenance task
Optional Parameters:
estimatedDuration: Estimated duration in minutes (default: 240)
Example:
{
"assetId": "asset-001",
"taskType": "preventive",
"priority": "high",
"scheduledDate": "2024-02-15T08:00:00Z",
"dueDate": "2024-02-15T17:00:00Z",
"assignedTo": "tech-001",
"description": "Monthly preventive maintenance",
"estimatedDuration": 480
}
IoT Tools
get_sensors
Get sensors from IoT system.
Parameters:
type(optional): Filter by type (temperature,pressure,vibration,humidity,flow,level)status(optional): Filter by status (active,inactive,error)equipmentId(optional): Filter by equipment ID
get_sensor_readings
Get sensor readings from IoT system.
Parameters:
sensorId(optional): Filter by sensor IDstatus(optional): Filter by reading status (normal,warning,critical)hours(optional): Get readings from last N hours
get_devices
Get IoT devices.
Parameters:
status(optional): Filter by status (online,offline,error)type(optional): Filter by device type
get_alerts
Get IoT alerts.
Parameters:
severity(optional): Filter by severity (info,warning,critical)acknowledged(optional): Filter by acknowledged status (boolean)deviceId(optional): Filter by device ID
acknowledge_alert
Acknowledge an IoT alert.
Required Parameters:
alertId: Alert ID to acknowledgeacknowledgedBy: User ID acknowledging the alert
Available Resources
The server provides the following resources:
mes://production-orders- All production orders from MES systemmes://equipment- All equipment from MES systemcmms://maintenance-tasks- All maintenance tasks from CMMS systemcmms://assets- All assets from CMMS systemiot://sensors- All sensors from IoT systemiot://alerts- All active (unacknowledged) alerts from IoT system
Mock Data
This server currently uses mock data for demonstration purposes. The mock data includes:
- MES: 3 production orders, 3 work orders, 4 equipment items
- CMMS: 4 maintenance tasks, 4 assets, 2 maintenance history records
- IoT: 5 sensors, 6 sensor readings, 4 devices, 4 alerts
To connect to real systems, replace the mock data imports in src/index.ts with actual API clients.
Project Structure
cmms-mcp-server/
├── src/
│ ├── index.ts # Main server implementation
│ └── mock-data/
│ ├── mes-data.ts # MES mock data
│ ├── cmms-data.ts # CMMS mock data
│ └── iot-data.ts # IoT mock data
├── dist/ # Compiled JavaScript (generated)
├── package.json
├── tsconfig.json
└── README.md
Testing
See TESTING.md for detailed testing instructions.
Quick test:
npm test
Development
Building
npm run build
Development Mode
npm run dev
This runs the server in watch mode with auto-reload using tsx.
License
MIT
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