{"repo":"LGDiMaggio/predictive-maintenance-mcp","free":true,"listed":false,"github":"https://github.com/LGDiMaggio/predictive-maintenance-mcp","clone":"git clone https://github.com/LGDiMaggio/predictive-maintenance-mcp.git","description":"MCP server for predictive maintenance and machinery fault diagnosis. Gives AI assistants evidence-based vibration analysis - FFT, envelope, bearing fault detection, ISO 20816-3 severity - with a measured, blind CWRU benchmark. Local-first: raw signals never leave your machine. Includes a Claude Code plugin.","language":"Python","stars":74,"topics":["anomaly-detection","bearing-fault-diagnosis","claude-agents","claude-ai","condition-monitoring","envelope-analysis","fastmcp","fault-diagnosis","iiot","industrial-iot"],"license":null,"category":"mcp-servers","readme_excerpt":"Predictive Maintenance MCP Server Give your AI assistant evidence-based vibration diagnostics — machinery fault detection, ISO-cited severity, and diagnostic reports built to support and accelerate expert decision-making. An open-source MCP server that turns LLMs into condition monitoring assistants for reliability engineers. Its core design rule: the server refuses to guess . No diagnosis is ever inferred from filenames or statistical parameters alone — a fault indication requires matching spectral evidence. Every severity claim cites ISO 20816-3, and the evaluative wording in reports is authored by the server, not improvised by the model. The AI orchestrates the analysis and presents the evidence — detected fault frequencies, matched fault patterns, severity zones — while the final judgment stays with the engineer. Also available as a Claude Code plugin with 8 diagnostic skills. --- See It in Action Full diagnostic workflow: load signal → spectral analysis → fault detection → severity assessment → report generation --- Choose Your Path You are Start here --------- ------------ Reliability / maintenance engineer — diagnostics in plain language, no coding Engineer's Quickstart AI / MCP developer — run, integrate, and extend the server Developer's Quickstart · Quick Start below Researcher / evaluator — how the numbers are measured Benchmark Methodology · Benchmark below --- Quick Start Get running in 3 minutes. On Windows, one script wires everything into Claude Desktop — it i","default_branch":null,"files":null,"tree":[],"storefront":"/r/LGDiMaggio","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/LGDiMaggio/predictive-maintenance-mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}