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by AndrewKlement • Analytics & Monitoring
A lightweight MCP server that exposes real-time espresso machine status and shot telemetry from a Gaggiuino controller for AI clients on a local network.
Fetch the current espresso machine status (temperature, pressure, idle/active state) for real-time monitoring or dashboards.
Obtain the latest shot ID and then retrieve detailed shot telemetry (flow, pressure, temperature, timestamps) for analysis or visualization.
Integrate with local Claude Desktop or other AI clients to run automated shot analyses, generate recommendations, or detect extraction anomalies.
This project provides a small Model Context Protocol (MCP) server that integrates with the Gaggiuino espresso machine controller to expose machine status, the latest shot ID, and detailed shot telemetry. It is designed for easy integration with AI agents (examples include Claude Desktop via Smithery) to retrieve and analyze real-time shot data. The server is intended for local network use and enables agents to perform monitoring, analysis, and visualization of extraction profiles and telemetry.
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