Rohde & Schwarz Launches AI Oscilloscope Software
The new MXO AI Connect software integrates AI assistants directly with series oscilloscopes for improved test automation.
Updated on Oct. 30, 2026 in Artificial Intelligence
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Rohde & Schwarz released its new MXO AI Connect software, a tool designed to integrate AI assistants with the company's MXO series oscilloscopes. This software bridge allows engineers to utilize natural language processing for instrument guidance and automated testing.
Why it matters
The integration aims to streamline complex testing workflows by enabling natural language interaction and instrument-aware automation. By connecting AI tools directly to hardware, it reduces the manual burden on engineers during measurement sessions.
The MXO AI Connect software operates as a local Model Context Protocol server that utilizes standard VISA interfaces like HiSLIP, VXI-11, and TCP/IP. It supports the MXO 3, 4, 5, and 5C oscilloscope series alongside R&S ScopeStudio.
The players
Rohde & Schwarz
An international electronics group specializing in electronic test equipment, broadcast and media, and cybersecurity solutions.
The details
The tool functions by interpreting user intent and mapping requests to specific instrument features for direct execution. It requires no additional software installations on the oscilloscope itself, running instead on a PC or lab host.
Timeline
Rohde & Schwarz released the software on October 30, 2026.
Demonstrations are scheduled for November 2026 at the electronica 2026 event in Munich.
The Tech Race
This integration follows the growing industry adoption of the Model Context Protocol to bridge localized lab hardware with external AI language models. It represents a shift toward standardized AI interoperability in professional measurement and testing environments.
Engineers can now use AI clients like GitHub Copilot or Claude to control their testing hardware through natural language commands. This workflow improvement reduces the need for manual navigation of complex instrument interfaces.
The takeaway
Adopting AI-assisted workflows can significantly reduce the learning curve for operating high-end test equipment. Professionals should explore how Model Context Protocol-based tools can automate their specific repetitive measurement tasks.
Further reading
Learn more about the latest developments in the field at Artificial Intelligence.
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