tinysa-mcp

what is tinySA_mcp? The tinySA_mcp project is an experimental MCP server designed to operate a TinySA device via a serial port, utilizing Python libraries for a tool-based interface. how to use tinySA_mcp? To use tinySA_mcp, ensure Python >=3.13 is installed, install the required dependencies, and run the MCP server using the command: python tinySA_Operator.py. key features of tinySA_mcp? Automatic detection and connection to a TinySA device. Send commands and retrieve responses from the device. Retrieve firmware and hardware version information. Disconnect the device as needed. Exposes MCP tools for integration with other systems. Supports image capture from the device screen, with optional file saving. Basic troubleshooting messages for connection issues. use cases of tinySA_mcp? Operating TinySA devices for signal analysis. Automating commands and retrieving data from TinySA devices. Capturing and saving images from the TinySA screen for documentation. FAQ from tinySA_mcp? What Python version is required? Python >=3.13 is required to run tinySA_mcp. How do I install the dependencies? You can install dependencies using hatch run build or pip install httpx mcp[cli]>=1.4.1 pyserial numpy Pillow. What should I do if I encounter connection issues? Ensure the specified serial port is correct and that your user has appropriate permissions.

As an MCP (Model Context Protocol) server, tinysa-mcp enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use tinySA_mcp, ensure Python >=3.13 is installed, install the required dependencies, and run the MCP server using the command: python tinySA_Operator.py. key features of tinySA_mcp? Automatic detection and connection to a TinySA device. Send commands and retrieve responses from the device. Retrieve firmware and hardware version information. Disconnect the device as needed. Exposes MCP tools for integration with other systems. Supports image capture from the device screen, with optional file saving. Basic troubleshooting messages for connection issues. use cases of tinySA_mcp? Operating TinySA devices for signal analysis. Automating commands and retrieving data from TinySA devices. Capturing and saving images from the TinySA screen for documentation. FAQ from tinySA_mcp? What Python version is required? Python >=3.13 is required to run tinySA_mcp. How do I install the dependencies? You can install dependencies using hatch run build or pip install httpx mcp[cli]>=1.4.1 pyserial numpy Pillow. What should I do if I encounter connection issues? Ensure the specified serial port is correct and that your user has appropriate permissions.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.