概要
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.