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    Enables AI agents to perceive and quantitatively verify physical hardware through USB webcams and RTSP/HTTP network streams, returning inline image content plus numerical metrics such as brightness, contrast, edge density, motion, SSIM baseline comparisons, and OCR text. Agents can watch feeds for visual conditions, correlate buffered frames with serial/log/MQTT events, and apply privacy masks and access controls.
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    MIT
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    MCP server for Beckhoff TwinCAT XAE / TE1000 Automation Interface, enabling control of XAE Shell, TwinCAT tree manipulation, PLC operations, and build actions via natural language.
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    MIT
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    Enables firmware developers to use a MetaShunt V2 as a live current-measurement tool, with continuous ~6.2 kHz streaming, high-rate burst captures, threshold/edge triggering, and persistent capture sessions.
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    MIT