# pico-mcp

> Use this tool when you need to interface with a PicoScope 5000A USB oscilloscope for signal analysis and generation tasks. It enables large language models (LLMs) to control the oscilloscope for block capture, measurements, and frequency response sweeps, solving problems in signal processing and analysis. The tool accepts input commands and returns output data, making it ideal for use cases requiring automated signal testing and measurement.

Canonical page: https://skillsregistry.net/skills/schimmilab-pico-mcp  
JSON: https://api.skillsregistry.net/v1/skills/schimmilab-pico-mcp

## Description

Enables LLMs to control a PicoScope 5000A USB oscilloscope for signal generation, block capture, measurements, and frequency response sweeps.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fpfmrtyk1o)
- **Repository:** <https://github.com/Schimmilab/pico-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": "schimmilab-pico-mcp"
    }
  }
}
```

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

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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