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by VictoriaMetrics • Uncategorized
An MCP server enabling AI assistants to interact with VictoriaMetrics vmanomaly for anomaly detection and model management.
Monitor the health and status of vmanomaly anomaly detection servers.
Manage and validate anomaly detection models and generate configurations for vmanomaly.
Search and reference embedded vmanomaly documentation without online access.
This MCP server implements the Model Context Protocol to provide seamless integration with the vmanomaly REST API, enabling AI assistants to perform health monitoring, model management, configuration and alert rule generation, and documentation search for VictoriaMetrics Anomaly Detection. It supports multiple operation modes including stdio, HTTP, and SSE, and embeds up-to-date vmanomaly documentation for offline search. The server facilitates AI-assisted anomaly detection workflows and observability insights.
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