PicoScope
Enables AI assistants to control PicoScope oscilloscopes for signal acquisition, measurement, and analysis via a standard I/O (STDIO) Model Context Protocol (MCP) server.
소개
This tool provides a Model Context Protocol (MCP) server that acts as an interface between AI assistants (like Claude) and PicoScope oscilloscopes. It allows natural language control over various oscilloscope functions, including device discovery, channel configuration, data acquisition in block or streaming modes, advanced triggering, and a wide range of signal measurements and analyses. Built with FastMCP and PicoSDK Python bindings, it empowers AI to interact with physical lab equipment for automated scientific experimentation and data collection.
주요 기능
- Advanced Analysis: Perform frequency, amplitude, rise time, FFT, and THD measurements
- Comprehensive Device Management: Auto-discover, connect, and retrieve device info
- Flexible Data Acquisition: Block capture and continuous streaming modes
- Signal Generation: Control built-in arbitrary waveform generator
- AI-Native: Designed for natural language control via LLMs
- 0 GitHub stars
사용 사례
- Facilitating natural language interaction with hardware for educational or research purposes
- Integrating PicoScope capabilities into AI assistant workflows for signal analysis
- Automating laboratory experiments with AI-driven oscilloscope control
Sponsored