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Control NI DAQ hardware for analog/digital I/O and waveform acquisition.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "daq-mcp" yet — see the docs or source repo.
Connect to the NI DAQ device, read voltage from the specified analog input channel, and return a summary of waveform data from the last 10 seconds.
Returns channel readings and a waveform acquisition summary for reviewing sensor signal changes.
Set the specified NI DAQ digital output channel high, keep it for 5 seconds, then switch it low and report the execution status.
Returns digital output control results and status information for basic hardware control.
Run an analog input read and digital output write workflow in simulation mode, verify whether the parameter configuration is correct, and explain the safety limits.
Returns simulation results to help test workflows and review safety-related settings without real hardware.
Researchers or developers can connect NI DAQ hardware in lab environments to read analog/digital signals and capture waveforms for equipment testing or experiment data collection.
Developers can integrate DAQ access and I/O control into automated workflows through MCP for device integration, triggering, and status validation.
When physical NI devices are unavailable, teams can use simulation mode first to validate call flows and parameter configuration, reducing integration risk.
It is an MCP server for interacting with NI DAQ hardware. It supports analog and digital I/O, waveform acquisition, and includes safety features plus a simulation mode.
Based on the description, it includes a simulation mode, so it can be used to validate workflows without hardware. For exact simulation scope and limits, see the source repository.
The known prerequisite is that it targets interaction with NI DAQ hardware. More specific installation steps, environment dependencies, or driver requirements are not provided here; see the source repository.
Control a bench oscilloscope over LAN for hardware debugging and validation.
Control quantum lab instruments and measurement systems via QCodes and JupyterLab.
Open, read, write, and manage serial ports through MCP for device workflows.
Let AI read and control industrial devices via standard industrial protocols.
Let AI control oscilloscopes for waveform capture and measurement analysis.
Connect AI models to industrial equipment for data access and machine control.