VMA-nomaly

소개

This tool implements a Model Context Protocol (MCP) server specifically designed for seamless integration with `vmanomaly`, VictoriaMetrics' anomaly detection product. It bridges the gap between AI assistants like Claude and the `vmanomaly` REST API, providing a standardized way for large language models to interact with, manage, and gain insights from anomaly detection processes. The server simplifies tasks such as health monitoring, model configuration, and even generates alerting rules and configurations, leveraging embedded documentation for comprehensive AI-assisted observability.

주요 기능

• Perform full-text search across embedded `vmanomaly` documentation with fuzzy matching
• 6 GitHub stars
• Check `vmanomaly` server health and build information
• List, validate, and configure anomaly detection models (e.g., zscore_online, prophet)
• Generate complete `vmanomaly` YAML configurations
• Generate `vmalert` alerting rules based on anomaly score metrics

사용 사례

• Integrating AI assistants with VictoriaMetrics anomaly detection systems.
• Automating the configuration and management of `vmanomaly` models via AI commands.
• Simplifying the creation of alerting rules for detected anomalies.