Mcp Vmanomaly

Mcp Vmanomaly

MCP server for VictoriaMetrics anomaly detection integration.

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About Mcp Vmanomaly

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.

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Product Website

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Documentation

Comprehensive API reference and guides for getting started with Mcp Vmanomaly.

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Blog

Insights and updates on using VictoriaMetrics and its tools, including Mcp Vmanomaly.

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