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Connect multiple Prometheus instances for AI-driven metrics analysis and SRE troubleshooting.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Proms MCP Server" yet — see the docs or source repo.
Connect to the available Prometheus instances and inspect payment-service P95 latency, error rate, and request volume over the last 6 hours. Identify when the anomaly started and summarize likely causes.
A troubleshooting summary with key metric changes, anomaly timing, and likely root causes.
Compare CPU, memory, and pod restarts over the last 24 hours between production and staging clusters across multiple Prometheus instances, and identify the services with the largest differences.
A cross-cluster resource comparison highlighting services with the most significant differences.
Query the metrics behind the 'high node disk usage' alert, review the last 12 hours of trends, determine whether the alert is persistent and business-impacting, and provide handling recommendations.
An assessment of alert validity, impact, and recommended next steps.
Let AI query Prometheus metrics, analyze monitoring data, and inspect rules.
Query real-time and historical server metrics from Prometheus for monitoring and troubleshooting.
Improve model outputs to expert-level quality through iterative creative direction.
Track AI usage, costs, logs, and debug model interactions across apps.
Manage Proxmox VMs, containers, nodes, and resources using natural language.
Fetch, discover, compose, and manage prompts from GitHub repositories via MCP.