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gaggimate-mcp
Matvey-Kuk/gaggimate-mcp
🕒 Updated:Dec 25, 2025, 12:00 AM
JavaScript
IoT
MCP server for Gaggimate espresso machine profiles - AI-powered optimization for perfect espresso extraction
MCP Trust Score
Based on our comprehensive evaluation criteria
Trust Score75/100
- • Basic MCP protocol features implemented (12/40)
- • Room for improvement in GitHub community
- • Optimal dependency management (20/20)
- • Room for improvement in deployment maturity
- • Documentation (8/8)
- • Archestra MCP Trust score badge is missing
GitHub Metrics
Repository statistics and activity
⭐ GitHub Stars:0
👥 Contributors:1
📋 Total Issues:0
📦 Has Releases:No
🔧 Has CI/CD Pipeline:No
Configuration Needed
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Suggest ConfigurationMCP Protocol Support
Implemented MCP protocol features
Tools:✓
Prompts:✗
Resources:✗
Sampling:✗
Roots:✗
Logging:✗
STDIO Transport:✓
HTTP Transport:✗
OAuth2 Auth:✗
Dependencies
Libraries and frameworks used by this MCP server
README.md
Gaggimate MCP Server
AI-powered espresso machine profile optimization via Model Context Protocol.
Features
- Continuous learning and improvement of extraction parameters
- WebSocket-based communication with espresso machine
- Real-time shot data analysis
- Automatic profile optimization
Installation
Quick start:
GAGGIMATE_HOST=192.168.1.100 npx -y matvey-kuk/gaggimate-mcp
Resources
Add Quality Badge
Show your MCP trust score in your README
[](https://archestra.ai/mcp-catalog/matvey-kuk__gaggimate-mcp)README.md
Gaggimate MCP Server
AI-powered espresso machine profile optimization via Model Context Protocol.
Features
- Continuous learning and improvement of extraction parameters
- WebSocket-based communication with espresso machine
- Real-time shot data analysis
- Automatic profile optimization
Installation
Quick start:
GAGGIMATE_HOST=192.168.1.100 npx -y matvey-kuk/gaggimate-mcp