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Convert OPC UA sensor data into MCP tools and expose machine health.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "opcua2mcp" yet — see the docs or source repo.
Map the temperature, vibration, and pressure nodes from this OPC UA server into MCP tools, and provide a callable tool list with field descriptions.
Provides MCP tool definitions, sensor field mappings, and usage instructions for each tool.
Using OPC UA data for bearing temperature, motor current, and vibration, generate a machine health interface design accessible through HTTP and MCP.
Outputs a health status interface plan including metrics, alert thresholds, response schema, and query examples.
Design an MCP-driven anomaly alert workflow for OPC UA device data: when vibration exceeds a threshold, return an alert with key metrics from the last 10 minutes.
Gives alert trigger logic, MCP tool call flow, output format, and example alert results.
Connect AI models to industrial equipment for data access and machine control.
Query unified industrial telemetry for visibility, anomaly detection, and operational insights.
Read benchmark data and related information for OPERANT AI agent calibration.
Monitor industrial process data and get anomaly analysis with actionable recommendations.
Let AI read and control industrial devices via standard industrial protocols.
Convert OpenAPI files into tailored MCP servers with only needed tools.