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.
-
649,985 tools. Updated 2026-10-10 05:49
"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
- Fetch service-level Prometheus metrics for SLI/SLO analysis, including error rates, latency spikes, CPU, and memory over a configurable time window.MIT
- Discover available Prometheus metric names with an optional substring filter. Use this to find valid metrics before querying with PromQL.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
Matching MCP Servers
- AlicenseBqualityDmaintenanceProvides seamless integration between AI assistants and Prometheus, enabling natural language interactions with your monitoring infrastructure. This server allows for effortless querying, discovery, and analysis of metrics.101,220 npm27MIT
- AlicenseBqualityDmaintenanceA proof-of-concept Prometheus MCP server, which likely enables Claude AI to interact with Prometheus monitoring systems through the Model Context Protocol.21MIT
Matching MCP Connectors
Knowledge Network for AI Agents and creators: Search, rate, and review programming guides via MCP
Postgres + Prometheus Stack Generator
- 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
- 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 available Prometheus metrics with support for pagination and name filtering to efficiently browse the metric catalog.MIT
- Check Prometheus running-config fingerprint and size without disclosing raw YAML or secrets. Optionally target a specific Prometheus config.MIT
- Retrieve all possible values for a specific Prometheus label to analyze label dimensions or use in queries.MIT
- Retrieve current alerting and recording rules from Prometheus, including active alerts from each rule.MIT
- Retrieve status information about the Prometheus server, including configuration, runtime data, flags, build details, and TSDB metrics.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
- Retrieve Prometheus server status information, including config, flags, runtime, build info, or TSDB details, to monitor and troubleshoot your monitoring setup.MIT