From 3634d2fba04b702f259d97f0c1218bbcf43a4738 Mon Sep 17 00:00:00 2001 From: Luigi Di Maggio Date: Fri, 14 Nov 2025 21:23:58 +0100 Subject: [PATCH] Add predictive maintenance MCP project to README ## Description Adds a new MCP server for industrial machinery diagnostics and predictive maintenance. ## Server Details - **Name**: Predictive Maintenance MCP Server - **Repository**: https://github.com/LGDiMaggio/predictive-maintenance-mcp - **Category**: Industrial Automation / Data Science - **Language**: Python - **Features**: - 25+ diagnostic tools (FFT, envelope analysis, ISO 20816 compliance) - ML-based anomaly detection (OneClassSVM, LocalOutlierFactor) - Interactive HTML reports with Plotly ## Checklist - [x] Documentation is complete (README, examples, setup guides) - [x] MIT License - [x] Follows MCP protocol standards - [x] Added to appropriate section in README --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index a50b6f1a0a..7ab536a9dd 100644 --- a/README.md +++ b/README.md @@ -1174,6 +1174,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[PostgreSQL](https://github.com/ahmedmustahid/postgres-mcp-server)** - A PostgreSQL MCP server offering dual HTTP/Stdio transports for database schema inspection and read-only query execution with session management and Podman(or Docker) support. - **[Postman](https://github.com/shannonlal/mcp-postman)** - MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests. - **[Powerdrill](https://github.com/powerdrillai/powerdrill-mcp)** - Interact with Powerdrill datasets, authenticated with [Powerdrill](https://powerdrill.ai) User ID and Project API Key. +- **[predictive-maintenance-mcp](https://github.com/LGDiMaggio/predictive-maintenance-mcp)** - AI-powered predictive maintenance and fault diagnosis. Features vibration analysis, bearing diagnostics, ISO 20816-3. compliance, and ML anomaly detection for industrial machinery. - **[Prefect](https://github.com/allen-munsch/mcp-prefect)** - MCP Server for workflow orchestration and ELT/ETL with Prefect Server, and Prefect Cloud [https://www.prefect.io/] using the `prefect` python client. - **[Producer Pal](https://github.com/adamjmurray/producer-pal)** - MCP server for controlling Ableton Live, embedded in a Max for Live device for easy drag and drop installation. - **[Productboard](https://github.com/kenjihikmatullah/productboard-mcp)** - Integrate the Productboard API into agentic workflows via MCP.