# PicoScope MCP Server

> Use this tool when you need to interact with PicoScope oscilloscopes for signal acquisition and analysis, or automate device management and data capture tasks. It enables large language models (LLMs) to control PicoScope devices through natural language commands, supporting use cases such as data capture, triggering, and signal generation. Ideal for applications requiring automated signal measurement and analysis, such as scientific research, engineering, and quality control.

Canonical page: https://skillsregistry.net/skills/markuskreitzer-picoscope-mcp  
JSON: https://api.skillsregistry.net/v1/skills/markuskreitzer-picoscope-mcp

## Description

Enables LLMs like Claude to interact with PicoScope oscilloscopes for signal acquisition, measurement, and analysis. Supports device management, data capture, triggering, and signal generation through natural language commands.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pjo047q9pe)
- **Repository:** <https://github.com/markuskreitzer/picoscope_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": "markuskreitzer-picoscope-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markuskreitzer-picoscope-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markuskreitzer-picoscope-mcp/pull`

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