OEE Enterprise Agent
Creates incident tickets in Jira for issues detected during OEE monitoring.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
OEE Enterprise Agent
MCP-based production monitoring agent for manufacturing OEE (Overall Equipment Effectiveness). Connects to SQL Server, MES APIs, and incident management systems.
Overview
This agent provides real-time OEE monitoring (Availability, Performance, Quality), downtime root-cause analysis, shift performance benchmarking, and automated alerts when thresholds are breached.
Related MCP server: Industrial AI Assistant MCP Server
Architecture
SQL MCP Server ──┐
MES REST API ──┼──► OEE Enterprise Agent ──► Teams Alerts
Incident Mgmt ──┘ ──► Jira/ServiceNowQuick Start
npm install
npm run init # Initialize SQLite database
npm run populate # Generate sample test data
npm run query:7day # Show 7-day OEE report
npm run query:kpi # Show real-time KPI dashboardScripts
Script | Description |
| Create SQLite database with schema |
| Generate 7 days of test data |
| Daily OEE report for last 7 days |
| KPI status dashboard |
| Connect to SQL Server (requires env config) |
Tools
query_daily_oee— OEE metrics by line/date/shiftget_downtime_analysis— Downtime RCA grouped by reasonsend_alert— Send Teams alert to engineerscreate_ticket— Create Jira/ServiceNow incidentcall_mes_api— Fetch machine alarms and line statusnotify_shift_lead— Send shift summary
Configuration
Copy .env.example to .env and configure:
SQL_SERVER=localhost\SQLEXPRESS
SQL_DATABASE=OEE_PRODData Source
By default, the agent uses a local JSON-based store (oee-production.db.json). For production, configure the SQL MCP server to connect to your SQL Server instance.
License
MIT
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