Mcp Vmanomaly is an open-source Model Context Protocol (MCP) server implementation designed to connect VictoriaMetrics' AI-driven anomaly detection system 'vmanomaly' with AI agents and tools via a standardized interface. It enables seamless model management, configuration generation, alert rule automation, documentation search, and server health monitoring, making it ideal for engineering teams deploying or operationalizing AI-based observability and anomaly detection in cloud-native or enterprise environments. The server can be run as a binary, via Docker, or built from source, and features several transport modes for integration, including stdio and streamable HTTP.
Visit Mcp Vmanomaly's official website for product details and getting started.
Comprehensive API reference and guides for getting started with Mcp Vmanomaly.
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