November 2025 Monthly Summary for modelcontextprotocol/servers: Key features delivered: - Industrial Machinery Diagnostics MCP Server (Predictive Maintenance MCP Server) added, featuring 25+ diagnostic tools (FFT, envelope analysis, ISO 20816 compliance) and ML-based anomaly detection (OneClassSVM, LocalOutlierFactor). - Interactive HTML reports generated with Plotly to visualize diagnostics and anomalies for actionable maintenance decisions. Major bugs fixed: - No major defects reported in this repository this month; primary focus was feature delivery, documentation, and quality improvements to support MCP standards. Overall impact and accomplishments: - Enables proactive maintenance and reduced downtime for industrial equipment by providing a scalable diagnostics and anomaly-detection platform with clear reporting and compliance with MCP protocol. - Establishes a solid foundation for future tooling expansion and data-driven maintenance analytics. Technologies/skills demonstrated: - Python-based server development and integration with ML models for anomaly detection. - Data analysis with FFT and envelope analysis techniques; ISO 20816 compliance awareness. - Visualization with Plotly; thorough documentation, README governance, MIT license adherence, and MCP protocol alignment.