mcp-vmanomaly is an open-source Model Context Protocol server that exposes VictoriaMetrics VMAnomaly functionality to compatible AI assistants and agents. Developers can run it locally or in a container and connect it to anomaly-detection workflows through MCP tools.
mcp-vmanomaly is a Frameworks & runtimes project. It focuses on connecting AI assistants to VictoriaMetrics VMAnomaly anomaly-detection capabilities through a standardized tool protocol. mcp-vmanomaly is an open-source project aimed at developers and observability engineers. mcp-vmanomaly is open source under the Open Source license. mcp-vmanomaly is available on the command line and API, and it can be self-hosted.
It is developed by VictoriaMetrics. Among its 5 catalogued features are MCP server, VMAnomaly integration, and anomaly detection. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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