# siglent-sds-mcp

> Use this tool when you need to control and interact with Siglent SDS oscilloscopes remotely, enabling measurement and configuration of signals through natural language commands. It solves problems of manual operation and data acquisition by providing a programmable interface to capture waveforms, screenshots, and configure channel settings. The tool accepts SCPI commands as input and outputs measured data, waveforms, or screenshots, making it ideal for automated testing and data analysis applications.

Canonical page: https://skillsregistry.net/skills/magnusjohansson-siglent-sds-mcp  
JSON: https://api.skillsregistry.net/v1/skills/magnusjohansson-siglent-sds-mcp

## Description

An MCP server that enables AI assistants to control Siglent SDS oscilloscopes over a local network using SCPI commands. It allows users to measure signals, configure channel and acquisition settings, and capture waveforms or screenshots through natural language.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jav3jp8r49)
- **Repository:** <https://github.com/MagnusJohansson/siglent-sds-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "magnusjohansson-siglent-sds-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/magnusjohansson-siglent-sds-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/magnusjohansson-siglent-sds-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt