Rigol DHO824 Oscilloscope

io.github.aimoda由 GitHub 账号 aimoda 发布v0.1.143-main.2b177ae更新于 Oct 28, 2026

Control and query Rigol DHO824 oscilloscope for waveform capture and measurements

已验证STDIO仅桌面文件与存储开发者工具

概览

AI 生成的概览

让助手通过 VISA 控制并查询 Rigol DHO824/DHO804 示波器,进行波形采集、截图和测量。

可以做什么
  • 采集示波器各通道的波形并保存为临时文件
  • 对仪器屏幕截图,可选择在每次工具调用后自动截图
  • 通过 VISA 连接查询和控制示波器,包括蜂鸣器设置
  • 把容器内路径转换为宿主机路径,便于直接打开采集文件
适用场景
当你的网络中有 Rigol DHO804/DHO824 示波器,并希望助手在实验台调试时自动抓取波形、截图和读取测量结果时使用。
运行要求
以 Docker(推荐)或 Python 包在本地运行。需要能访问仪器的网络,以及 RIGOL_RESOURCE 指定的 VISA 资源字符串(例如 TCPIP 地址)。Docker 方式还需 RIGOL_TEMP_DIR 与挂载的宿主机目录一致;可选 VISA_TIMEOUT、RIGOL_BEEPER_ENABLED、RIGOL_AUTO_SCREENSHOT。示波器须刷成 DHO824 固件 00.01.04。
安装前请注意
它会向真实实验硬件发送命令,工具调用会改变仪器状态并触发采集。波形和截图会写入宿主机目录且不会自动清理,需要自行删除旧文件。仅支持 DHO804/DHO824 及已测试固件,其他型号风险自负。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Rigol DHO824 Oscilloscope,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

Rigol DHO824 MCP Server

[PyPI version] [GHCR]

An MCP (Model Context Protocol) server for controlling and querying the Rigol DHO824 oscilloscope.

[Demo of oscilloscope in action]

Built by ai.moda.

Hardware Requirements

Supported Models

This project only supports DHO804/DHO824 oscilloscopes (identical hardware). We recommend purchasing a DHO804.

Firmware Requirements

IMPORTANT: The DHO804 must be flashed to DHO824 firmware before using this MCP server. Use the rigol_vendor_bin project to flash your oscilloscope.

Supported Firmware Version: 00.01.04

This is the only firmware version we test and support. Other firmware versions may work but are not guaranteed.

Compatibility Note

Other Rigol oscilloscope models may work with this MCP server, but we have no way to test them or guarantee functionality. Use with other models at your own risk.

Installation

The recommended way to use this MCP server is via Docker, which eliminates dependency management and provides isolation.

Quick Start

Pull the pre-built image from GitHub Container Registry:

bash
docker pull ghcr.io/aimoda/rigol-dho824-mcp:latest

Using Environment Variables with Docker

IMPORTANT: You must provide the RIGOL_RESOURCE environment variable with your oscilloscope's IP address (e.g., TCPIP0::192.168.1.100::inst0::INSTR).

You can configure the Docker container with environment variables in two ways:

  1. Hardcoded values (shown in examples below): -e RIGOL_RESOURCE="TCPIP0::192.168.1.100::inst0::INSTR"
  2. Pass-through from host (recommended): -e RIGOL_RESOURCE (without =value)

When you use -e VARIABLE_NAME without a value, Docker automatically passes through the variable from your host environment. This is useful if you have environment variables already set in your shell (e.g., in ~/.bashrc or ~/.zshrc).

Environment Variables

  • RIGOL_RESOURCE: Required - VISA resource string for connecting to the oscilloscope (e.g., TCPIP0::192.168.1.100::inst0::INSTR)
  • RIGOL_TEMP_DIR: Required for Docker - Host-side path for returned file paths. The container always writes to /tmp/rigol internally and translates paths to this value in responses. Must match the host path in your -v mount. Outside Docker, this sets the directory for temporary files (waveforms, screenshots); if not set, uses system default temp directory.
  • VISA_TIMEOUT: Communication timeout in milliseconds (default: 30000)
  • RIGOL_BEEPER_ENABLED: Enable/disable oscilloscope beeper sounds (default: false)
  • RIGOL_AUTO_SCREENSHOT: Automatically capture screenshot after each MCP tool execution for visualization/debugging (default: false). Screenshots are saved with human-readable timestamp format (e.g., auto_screenshot_20251030_143045_123.png) for chronological sorting.

MCP Client Configuration

Claude Code

Option 1: Using .mcp.json file

Create a .mcp.json file in your project directory (or copy from .mcp.json.example):

json
{  "mcpServers": {    "rigol-dho824": {      "type": "stdio",      "command": "docker",      "args": [        "run",        "-i",        "--rm",        "-v",        "/tmp/rigol-data:/tmp/rigol",        "-e",        "RIGOL_RESOURCE",        "-e",        "VISA_TIMEOUT",        "-e",        "RIGOL_BEEPER_ENABLED",        "-e",        "RIGOL_AUTO_SCREENSHOT",        "-e",        "RIGOL_TEMP_DIR",        "ghcr.io/aimoda/rigol-dho824-mcp:latest"      ],      "env": {        "RIGOL_RESOURCE": "TCPIP0::192.168.1.100::inst0::INSTR",        "VISA_TIMEOUT": "30000",        "RIGOL_BEEPER_ENABLED": "false",        "RIGOL_AUTO_SCREENSHOT": "false",        "RIGOL_TEMP_DIR": "/tmp/rigol-data"      }    }  }}

Option 2: Using CLI

bash
claude mcp add --scope local rigol-dho824 -- \  docker run -i --rm \  -v /tmp/rigol-data:/tmp/rigol \  -e RIGOL_RESOURCE="TCPIP0::192.168.1.100::inst0::INSTR" \  -e VISA_TIMEOUT=30000 \  -e RIGOL_BEEPER_ENABLED=false \  -e RIGOL_AUTO_SCREENSHOT=false \  -e RIGOL_TEMP_DIR=/tmp/rigol-data \  ghcr.io/aimoda/rigol-dho824-mcp:latest

Replace 192.168.1.100 with your oscilloscope's IP address.

Codex
bash
codex mcp add rigol-dho824 -- \  docker run -i --rm \  -v /tmp/rigol-data:/tmp/rigol \  -e RIGOL_RESOURCE="TCPIP0::192.168.1.100::inst0::INSTR" \  -e VISA_TIMEOUT=30000 \  -e RIGOL_BEEPER_ENABLED=false \  -e RIGOL_AUTO_SCREENSHOT=false \  -e RIGOL_TEMP_DIR=/tmp/rigol-data \  ghcr.io/aimoda/rigol-dho824-mcp:latest

Replace 192.168.1.100 with your oscilloscope's IP address.

Note: After adding the server to your MCP client, restart the client to load the MCP server. The server will translate container paths (/tmp/rigol/*) to host paths (/tmp/rigol-data/*) in all returned file paths.

Your first prompt

Enter the following prompt in your MCP Client to verify your setup:

Capture a waveform from channel 1 of my oscilloscope

Your MCP client should connect to the oscilloscope and capture the waveform data.

Accessing Temp Files in Docker

The container writes temporary files (waveform captures, screenshots) to /tmp/rigol internally. To access these files from your host machine:

  1. Create a directory on your host for storing temporary files:

    bash
    mkdir -p /tmp/rigol-data
  2. Mount this directory as a volume and set RIGOL_TEMP_DIR in your Docker configuration:

    bash
    docker run -i --rm \  -v /tmp/rigol-data:/tmp/rigol \  -e RIGOL_TEMP_DIR=/tmp/rigol-data \  ...

The server automatically translates all returned file paths from the container path (/tmp/rigol/*) to the host path (/tmp/rigol-data/*), so you can directly access files at the paths shown in tool responses.

Important notes:

  • The host directory (/tmp/rigol-data in examples) must exist before starting the server
  • RIGOL_TEMP_DIR must match the host-side path in your -v mount
  • Temporary files are not automatically cleaned up
  • You are responsible for manually cleaning up old waveform and screenshot files
  • Files will be organized in subdirectories like waveform_capture_<timestamp>/ for waveforms and screenshot_<timestamp>.png for screenshots

Example: Manual cleanup

bash
# Remove waveform captures older than 7 daysfind /tmp/rigol-data -type d -name "waveform_capture_*" -mtime +7 -exec rm -rf {} \;
# Remove screenshots older than 7 daysfind /tmp/rigol-data -type f -name "screenshot_*.png" -mtime +7 -delete

Troubleshooting

Container exits immediately
  • Ensure you're using the -i flag (interactive mode)
  • Verify RIGOL_RESOURCE is set correctly
Cannot connect to oscilloscope
  • Verify oscilloscope IP address and network connectivity (ping <ip-address>)
  • Check oscilloscope's remote control settings are enabled
Environment variables not working
  • Ensure you're using -e VARIABLE_NAME in the Docker args array
  • Set the actual values in the env field of .mcp.json

Building Locally

To build the Docker image yourself:

bash
docker build -t rigol-dho824-mcp:local .

Then use rigol-dho824-mcp:local as the image name in your configuration.

Development Setup

For local development and contributions, you can install the MCP server in a Python virtual environment.

Create and activate virtual environment

bash
python3 -m venv venvsource venv/bin/activate  # On Windows: venv\Scripts\activate

Install the package

bash
# Install in editable mode for developmentpip install -e .
# Or just install dependenciespip install -r requirements.txt

Add to MCP Client

After completing the setup steps above, add the local development MCP server to your MCP client:

Claude Code:

bash
claude mcp add --scope local rigol-dho824 -- <path-to-this-repo>/venv/bin/rigol-dho824-mcp

Codex CLI:

bash
codex mcp add \  --env RIGOL_RESOURCE="TCPIP0::192.168.1.100::inst0::INSTR" \  --env VISA_TIMEOUT="30000" \  --env RIGOL_BEEPER_ENABLED="false" \  --env RIGOL_AUTO_SCREENSHOT="false" \  rigol-dho824 -- <path-to-this-repo>/venv/bin/rigol-dho824-mcp

Replace:

  • <path-to-this-repo> with the actual path to this repository
  • 192.168.1.100 with your oscilloscope's IP address

Note: Unlike Claude Code, Codex requires explicit environment variables via --env flags (before the server name) as it runs MCP servers in a sanitized environment.

Development Scripts

The scripts/ directory contains utilities for development:

  • convert_png_to_webp.sh - Convert PNG frame sequences to animated WebP (e.g., ./scripts/convert_png_to_webp.sh "~/screenshots/*.png" output.webp)

Development Configuration

The server can be configured using environment variables. Create a .env file from the example:

bash
cp .env.example .env

Then edit .env to set your configuration:

  • RIGOL_RESOURCE: VISA resource string for the oscilloscope (required)
    • Example: TCPIP0::192.168.1.100::inst0::INSTR
  • VISA_TIMEOUT: Communication timeout in milliseconds (default: 5000)

Running the Server (Development)

For local development and testing, you can run the server directly with Python:

STDIO Transport

bash
# Set resource string via environment variableexport RIGOL_RESOURCE="TCPIP0::192.168.1.100::inst0::INSTR"python -m rigol_dho824_mcp.server

HTTP Transport

bash
# Default HTTP server (http://127.0.0.1:8000/mcp)python -m rigol_dho824_mcp.server --http
# Custom host and portpython -m rigol_dho824_mcp.server --http --host 0.0.0.0 --port 3000
# Custom pathpython -m rigol_dho824_mcp.server --http --path /api/mcp

来源:README.md,提交 2b177ae

工具

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SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

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  1. v0.1.143-main.2b177ae最新Sep 16, 2026

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