Prometheus

Enables querying and analyzing Prometheus metrics data with tools for executing PromQL queries, retrieving series data, accessing metadata, and monitoring scrape targets, alerts, and rules for infrastructure troubleshooting and system health monitoring.

The Prometheus MCP server enables AI assistants to query and analyze Prometheus metrics through a standardized interface. Built in Go, it provides tools for executing instant and range PromQL queries, retrieving series data, accessing metadata, and monitoring scrape targets, alerts, and rules. The server communicates via stdin/stdout following the MCP protocol, connects to a configurable Prometheus instance, and includes comprehensive error handling and debugging capabilities. This implementation is particularly valuable for DevOps engineers and SREs who need to troubleshoot infrastructure issues, analyze performance metrics, or monitor system health without leaving their AI assistant conversation context.