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Query unified industrial telemetry for visibility, anomaly detection, and operational insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "operational-data-mcp" yet — see the docs or source repo.
Use operational-data-mcp to query device status, output, and downtime for each production line over the past hour, and summarize the results in a table by line.
A real-time operations table grouped by production line with status, output, and downtime metrics.
Use operational-data-mcp to analyze today's temperature, pressure, and vibration data for key equipment, identify out-of-range anomalies, and mark their timestamps.
A list of anomalous devices, affected metrics, timestamps, and brief risk notes.
Based on the last 7 days of production and equipment telemetry in operational-data-mcp, summarize overall operating trends, main bottlenecks, and issues that should be prioritized.
An operations summary outlining trends, bottlenecks, and prioritized improvement recommendations.
Search, inspect, trace, and read business data assets across internal platforms.
Monitor industrial process data and get anomaly analysis with actionable recommendations.
Use one MCP server for filesystem, database, web, and system operations.
Let AI read and control industrial devices via standard industrial protocols.
Query telemetry sources, inspect schemas, and run bounded aggregate analysis.
Analyze e-commerce data to uncover customer, product, delivery, and sales insights.