Query and visualize Prometheus metrics from Kubernetes clusters using PromQL. Supports instant and time-series data, grouping by labels, and customized units for Recharts integration.
438,654 tools. Updated 2026-08-10 15:41
"Prometheus" matching MCP tools:
- Query Prometheus metrics for Kubernetes cluster monitoring and visualization. Retrieve snapshot or time-series data formatted for charting to analyze system performance and resource usage.
- Access Prometheus query rules and guidelines to retrieve time-series data, metadata, alerts, and system status using PromQL queries.MIT
- Retrieve Prometheus build details including version, Go version, Git revision, branch, build user, and build date to identify version-specific behavior or debug issues.MIT
- Identifies high series counts and label cardinality to troubleshoot Prometheus memory and query slowdowns.MIT
- Check if Prometheus is live and ready by testing its health and readiness endpoints. Use this to troubleshoot empty query results by confirming Prometheus is running.MIT
Matching MCP Servers
- AlicenseBqualityDmaintenanceA proof-of-concept Prometheus MCP server, which likely enables Claude AI to interact with Prometheus monitoring systems through the Model Context Protocol.21MIT
- Alicense-qualityCmaintenanceQuery Prometheus from CLI or any MCP client, with retries, caching, and an optional metrics exporter.13Apache 2.0
- Retrieve Prometheus runtime information including goroutine count, time series count, and storage retention policy to diagnose performance issues or verify configuration.MIT
- Retrieve the Prometheus build version and configuration details to verify your monitoring setup.MIT
- List all Prometheus label names currently available. Use this to explore metric dimensions and construct targeted queries.MIT
- List all available Prometheus metrics to identify which data points can be queried and monitored.MIT
- Retrieve all possible values for a specific Prometheus label to analyze label dimensions or use in queries.MIT
- Query Prometheus for time series metrics and generate a plotted image to visualize infrastructure status over a specified time range.MIT
- Retrieve current alerting and recording rules from Prometheus, including active alerts from each rule.MIT
- Retrieve metadata for a specified Prometheus metric, including its type and description.MIT
- Retrieve runtime information from a Prometheus server to monitor its status and configuration.MIT
- Retrieve time series data from Prometheus over a specified time range and step resolution.MIT
- List all monitored targets in Prometheus to gain complete visibility into your monitoring infrastructure.MIT
- Run PromQL instant queries to retrieve current metrics from Prometheus for real-time monitoring and analysis.MIT
- Execute a Prometheus query to retrieve monitoring metrics. Optionally specify a time in RFC3339 format for historical data.MIT
- Retrieve configured Prometheus monitoring environments and their base URLs to access system metrics across different deployment stages.