logic-analyzer-mcp

# Logic Analyzer AI MCP An [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) server for interfacing with **Saleae Logic** analyzers. This tool allows AI assistants (like Claude) to control hardware logic analyzers, capture signals, and export data for analysis. ## Features - **Device Management**: List connected devices, configure sample rates and channels. - **Automation**: Start and stop captures programmatically. - **Data Export**: Export captures to CSV/binary formats. - **Analysis**: Perform basic signal analysis (frequency, duty cycle, analog stats) directly via MCP. - **Logic 2 Integration**: Leverages the Saleae Logic 2 automation API for modern device support (Logic 8/16, Pro 8/16). - **Adaptive Configuration**: Works with fixed-voltage devices (like Logic 8) by correctly handling threshold settings. ## Prerequisites 1. **Saleae Logic 2 Software**: Must be installed and running. * [Download Logic 2](https://www.saleae.com/downloads/) 2. **Enable Automation**: * Open Logic 2. * Go to **Preferences** > **Salese Logic 2** (or "Automation"). * Enable **"Enable scripting socket server"**. * Keep the default port **10430**. ## Installation ### From PyPI (Easiest) ```bash pip install logic-analyzer-mcp ``` Or with `uv`: ```bash uv pip install logic-analyzer-mcp ``` ### From Source (For development) 1. Clone the repository: ```bash git clone https://github.com/michelebergo/logic-analyzer-ai-mcp.git cd logic-analyzer-ai-mcp ``` 2. Create a virtual environment and sync dependencies: ```bash uv venv uv sync ``` 3. (Optional) Install manually if not syncing: ```bash uv pip install -e . ``` ## Usage ### Running the MCP Server manually To run the server and see available tools: ```bash # Activate virtual environment first .venv\Scripts\activate # Run the server with Logic 2 automation enabled python…