yincongcyincong/VictoriaMetrics-mcp-server
🔌 MCP Serveryincongcyincong
An MCP server enabling seamless AI agent interaction with VictoriaMetrics time-series databases.
The VictoriaMetrics-mcp-server acts as a middleware component that exposes VictoriaMetrics database capabilities to AI agents via the Model Context Protocol. This integration allows developers to build intelligent monitoring assistants that can perform complex data analysis, trend identification, and anomaly detection without manual intervention. The server handles the translation of natural language queries into efficient PromQL or MetricsQL requests, enabling the agent to fetch specific time-series data points or aggregate metrics. Key features include support for standard VictoriaMetrics query endpoints, secure connection handling, and a lightweight architecture that minimizes overhead. By leveraging this MCP server, teams can transform their observability stack into an interactive, AI-ready platform, significantly reducing the time required to troubleshoot infrastructure issues or generate performance reports.
💡Highlights
- ├─Standardized MCP interface
- ├─Direct MetricsQL query support
- └─Automated observability insights
🎯For
- ├─DevOps Engineers
- ├─SREs
- └─AI Application Developers