Prometheus
Integrates with Prometheus monitoring systems to provide direct access to time-series metrics through specialized tools for discov
Prometheus MCP server by Idan Fishman that provides AI assistants with direct access to Prometheus monitoring data through 10 specialized tools organized into discovery, info, and query categories. The implementation offers comprehensive metric exploration capabilities including listing available metrics and labels, retrieving metadata and target information, executing PromQL queries for both instant and range data, and accessing Prometheus runtime/build details. Built with TypeScript using dual transport support (stdio and HTTP), configurable tool categories, and robust error handling, it serves database administrators performing real-time performance analysis, DevOps teams building monitoring workflows, and AI assistants requiring programmatic access to time-series metrics for troubleshooting, capacity planning, and operational intelligence tasks.
Source
Repository: https://github.com/idanfishman/prometheus-mcp
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