Gaggiuino MCP
An MCP server for the Gaggiuino open-source espresso machine, providing real-time local network access to machine status and shot data.
gaggiuino-mcp
Gaggiuino MCP Server This is a lightweight Model Context Protocol (MCP) server built for Gaggiuino, the open-source espresso machine controller for the Gaggia Classic. It is designed to integrate easily AI clients that want to display or analyze data from the Gaggiuino system in real time.
This is an article I wrote about this project https://medium.com/@a.klement.w/dialing-in-espresso-using-mcp-server-0207819fe93a
Allows connected clients to:
-
Retrieve the current machine status
-
Access the latest shot ID
-
Fetch shot data for a specified id
Features
📊 Real-time access to shot telemetry
🌐 Designed for local network access
How to use
Using Claude Desktop
{
"mcpServers": {
"gaggiuino": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/gaggiuino-mcp",
"run",
"gaggiuino.py"
]
}
}
}
Installing via Smithery
To install Gaggiuino Espresso Machine Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @AndrewKlement/gaggiuino-mcp --client claude
Available Toolsets
| Toolset | Description |
|---|---|
getLatestShotId | Get latest espresso shot id |
getShotData | Get espresso shot data for an id. Args: id: Shot id |
getStatus | Get espresso machine status |
Example
User:
analyze the latest espresso shot data
Claude:
I'll retrieve and analyze the latest espresso shot data for you. Let me first check the status of your espresso machine and then get the latest shot information.
getStatus
Now I'll get the ID of the latest espresso shot:
getLatestShotId
Let me retrieve the data for shot #188:
getShotData
Based on the data retrieved, I'll now analyze your latest espresso shot (ID #188). Here's my analysis:
Machine Status and Shot Overview Your machine is currently idle at 57.2°C with -0.1 bar pressure. The shot analyzed was taken on April 19, 2025 (based on the timestamp), with a total duration of 26.5 seconds (265 datapoints at 0.1s intervals).
Profile Information You used the "Leva 9 LR v0.5" profile, which is a multi-phase profile with declining pressure targeting 40g of output. The profile has
- A flow-control preinfusion at 7 ml/s
- Step-down to 3.5 ml/s flow
- Pre-extraction at 1.5 ml/s flow with 3 bar pressure restriction
- Pressure ramp to 9 bar over 2 seconds
- A series of gradually declining pressure steps (8.8→6.0 bar)
Shot Analysis Preinfusion and Extraction Phases
- Preinfusion (0-5s): Started with a high flow rate (6-7 ml/s) with minimal pressure (0.3-0.6 bar), allowing the puck to saturate.
- First Pressure Rise (5-10s): Pressure gradually built to ~2.5 bar while flow decreased to ~1.5 ml/s.
- Pressure Profile Phase (10-15s): Pressure held around 3 bar with flow reduced to ~0.8 ml/s.
- Pressure Ramp (15-20s): Pressure increased from 3 to 8.9 bar over ~5 seconds following the programmed profile.
- Declining Pressure Phase (20-26.5s): Pressure gradually declined from ~8.5 to 6.4 bar following the profile steps.
Key Measurements
- Final Yield: 38g (based on final shot weight)
- Brew Ratio: Unable to determine (coffee dose not provided)
- Temperature Stability: Excellent - maintained at 92.8-94.1°C throughout extraction
- First Drops: Appeared around 11-12 seconds (~75% into preinfusion)
- Peak Flow Rate: 7.2 ml/s (at the beginning)
- Peak Pressure: 8.9 bar (at ~20 seconds)
Extraction Dynamics
- Flow Rate: Started high (7 ml/s), stepped down to 3.5 ml/s then 1.5 ml/s during preinfusion as programmed, then stabilized at ~2.8 ml/s during extraction.
- Water Delivery: Total water pumped was 87.7 ml, with 38g in the cup, suggesting significant water retention in the puck.
- Pressure Profile: The pressure curve shows excellent progression from preinfusion through extraction, with a smooth transition to declining pressure.
Performance Assessment This appears to be a technically well-executed shot with good adherence to the programmed profile:
- Temperature Control: Excellent stability around 93-94°C
- Pressure Curve: Follows the programmed profile with smooth transitions
- Extraction Flow: Consistent during main extraction phase
- Weight Output: Achieved 38g (close to the 40g target)
Would you like me to provide more specific recommendations about any aspect of this shot, or is there a particular parameter you'd like me to analyze in more detail?
相關伺服器
Smart Home Device Control
Control smart home devices and query information by connecting large models to smart home backend APIs.
Image
Fetch and process images from URLs, local file paths, and numpy arrays, returning them as base64-encoded strings.
Frihet MCP Server
The first AI-native MCP server for a Spanish ERP. Create invoices, manage expenses, track clients, handle products, quotes and webhooks — all through natural language with any AI assistant. 31 tools, bilingual ES/EN.
Wazuh MCP Server
AI-powered security operations with Wazuh SIEM + Claude Desktop. Natural language threat detection, automated incident response & compliance.
SafeDep
Real-time malicious package protection for AI coding agents
Cinderfi
Tax-aware retirement planning for Canada and the US — CPP/OAS, Social Security, RRSP/TFSA/401k/IRA, Monte Carlo, withdrawal optimization.
MCP-Airflow-API
MCP-Airflow-API is an MCP server that leverages the Model Context Protocol (MCP) to transform Apache Airflow REST API operations into natural language tools. This project hides the complexity of API structures and enables intuitive management of Airflow clusters through natural language commands.
Say MCP Server
A text-to-speech server using the macOS `say` command.
Quiz MCP
MCP server for interactive quizzes
AstraCipher
Cryptographic identity MCP server for AI agents using W3C DIDs, Verifiable Credentials, and NIST post-quantum cryptography (ML-DSA-65 FIPS 204).
