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Logic Analyzer AI MCP

This project provides an AI MCP server logic analyzers. It enables remote control, automation, and integration of Saleae Logic devices and captures, making it easy to script, manage, and analyze logic analyzer data programmatically.

Unclaimed last commit 6 months ago devtools
46Fair

Scored 4 months ago · breakdown

About Logic Analyzer AI MCP

Logic Analyzer AI MCP is an MCP server published by michelebergo in the Developer Tools category: this project provides an AI MCP server logic analyzers. It enables remote control, automation, and integration of Saleae Logic devices and captures, making it easy to script, manage, and analyze logic analyzer data programmatically. It has been installed 0 times through Conduid.

Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx logic-analyzer-ai-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

Logic Analyzer AI MCP

An MCP (Model Context Protocol) 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.
  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

This project uses uv for dependency management, but standard pip works too.

Using uv (Recommended)

  1. Clone the repository:

    git clone https://github.com/wegitor/logic-analyzer-ai-mcp.git
    cd logic-analyzer-ai-mcp
    
  2. Create a virtual environment and sync dependencies:

    uv venv
    uv sync
    
  3. (Optional) Install manually if not syncing:

    uv pip install -e .
    

Usage

Running the MCP Server manually

To run the server and see available tools:

# Activate virtual environment first
.venv\Scripts\activate

# Run the server with Logic 2 automation enabled
python -m src.logic_analyzer_mcp --logic2

Configuration for Claude Desktop

To use this with Claude Desktop, add the following to your config file:

  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "saleae_logic": {
      "command": "c:\\path\\to\\logic-analyzer-ai-mcp\\.venv\\Scripts\\python.exe",
      "args": [
        "c:\\path\\to\\logic-analyzer-ai-mcp\\src\\logic_analyzer_mcp.py",
        "--logic2"
      ]
    }
  }
}

Note: Replace c:\\path\\to\\... with the actual absolute path to your project folder.

Available Tools

Once connected, the AI assistant will have access to tools like:

  • logic2_reconnect: Connect to the running Saleae software.
  • get_available_devices: List connected hardware or simulation devices.
  • create_device_config: Set up channels and sample rates.
  • capture_and_analyze_digital: One-shot capture + frequency/duty cycle analysis.
  • capture_and_analyze_analog: One-shot capture + voltage statistics.
  • start_capture / wait_capture / save_capture: Granular control over the capture workflow.
  • start_capture_with_trigger: Wait for a digital event (e.g. Rising Edge) before capturing.
  • add_protocol_analyzer: Add decoders like Serial, I2C, SPI to the capture.
  • export_analyzer_data: Export decoded text data to CSV.

Advanced Usage Examples

Using Digital Triggers

To capture only when a specific event happens:

  1. Configure device (create_device_config).
  2. Start trigger capture:
    # Example: Wait for Rising Edge on Channel 0, then record 1 second
    start_capture_with_trigger(
        device_config_name="my_config",
        trigger_channel_index=0,
        trigger_type="RISING",
        after_trigger_seconds=1.0
    )
    

Protocol Decoding (e.g. Serial)

To decode UART/Serial data and export the text:

  1. Perform a capture (standard or triggered).
  2. Add an analyzer:
    add_protocol_analyzer(
        name="Async Serial",
        label="MySerial",
        settings={
            "Input Channel": 0,
            "Bit Rate": 115200
        }
    )
    
  3. Export the decoded table:
    export_analyzer_data(
        filepath="C:\\temp\\serial_data.csv",
        analyzer_label="MySerial"
    )
    

Troubleshooting

  • "Connection Refused": Ensure Logic 2 is running and the scripting server is enabled on port 10430.
  • "Threshold Error": If using Logic 8 (which doesn't support variable thresholds), ensure you don't pass a digital_threshold_volts value (the tool handles this automatically now).

License

MIT

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Logic Analyzer AI MCP

How do I install Logic Analyzer AI MCP?

Run npx logic-analyzer-ai-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Logic Analyzer AI MCP safe to use with an AI agent?

Its trust score is 46 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Logic Analyzer AI MCP still maintained?

The last commit was 6 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.