# grr-gaggiuino-mcp

> Use this tool when you need to monitor and analyze espresso machine performance, or manage profiles for customized shot control. It solves problems related to optimizing espresso production, such as inconsistent shot quality and lack of machine monitoring. The grr-gaggiuino-mcp tool accepts inputs from Gaggiuino-modified machines and outputs detailed shot analysis and machine performance data.

Canonical page: https://skillsregistry.net/skills/sgerlach-grr-gaggiuino-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sgerlach-grr-gaggiuino-mcp

## Description

An MCP server for Gaggiuino-modified espresso machines, enabling monitoring, shot analysis, and profile management.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dtkh64njo0)
- **Repository:** <https://github.com/sgerlach/grr-gaggiuino-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": "sgerlach-grr-gaggiuino-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sgerlach-grr-gaggiuino-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sgerlach-grr-gaggiuino-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