Creates incident tickets in Jira for issues detected during OEE monitoring.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@OEE Enterprise Agent show me today's OEE for line 3"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP-based production monitoring agent for manufacturing OEE (Overall Equipment Effectiveness). Connects to SQL Server, MES APIs, and incident management systems.
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
SQL MCP Server ──┐
MES REST API ──┼──► OEE Enterprise Agent ──► Teams Alerts
Incident Mgmt ──┘ ──► Jira/ServiceNownpm 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 dashboardScript | 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) |
query_daily_oee — OEE metrics by line/date/shift
get_downtime_analysis — Downtime RCA grouped by reason
send_alert — Send Teams alert to engineers
create_ticket — Create Jira/ServiceNow incident
call_mes_api — Fetch machine alarms and line status
notify_shift_lead — Send shift summary
Copy .env.example to .env and configure:
SQL_SERVER=localhost\SQLEXPRESS
SQL_DATABASE=OEE_PRODBy 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.
MIT
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