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Query real-time and historical server metrics from Prometheus for monitoring and troubleshooting.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Prometheus MCP Server Extended" yet — see the docs or source repo.
Query this server's CPU usage, system load, and related active process metrics for the past 6 hours. Identify abnormal spike periods and summarize likely causes concisely.
A summary of CPU and load changes across key time windows, with an initial analysis of likely causes.
Extract memory utilization, disk read/write IO, and swap metrics for the past 24 hours. Determine whether there are signs of a memory leak or disk bottleneck, and list the evidence.
Trend analysis for memory, swap, and disk IO, plus a conclusion on whether resource bottlenecks exist.
Query TCP connection counts, connection state distribution, and system load for the past 12 hours. Determine whether the service shows connection buildup or unusual network pressure.
An analysis of TCP connection states and load, highlighting periods of potential network anomalies.
Query Prometheus metrics with PromQL and analyze monitoring trends and anomalies.
Query and analyze Prometheus metrics through AI-friendly standardized interfaces.
Connect multiple Prometheus instances for AI-driven metrics analysis and SRE troubleshooting.
Test all MCP protocol features when building and validating clients.
Connect to Grafana dashboards, data sources, and alerts for monitoring analysis.
Analyze e-commerce data to uncover customer, product, delivery, and sales insights.