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AI Observability Summarizer
by rh-ai-quickstart
Turn OpenShift and AI observability signals into plain-English actionable insights via Prometheus.
25 stars
Updated 1 month ago
Works in:claude
Exposes:ToolsResources
What it does
This MCP server connects to OpenShift and OpenShift AI observability data (Prometheus, Thanos, DCGM) to provide AI-driven summaries of model performance, GPU utilization, and cluster health. It eliminates the need to manually stitch together dashboards by providing a natural-language interface to observability signals.
Tools
analyze_metrics: Generates summaries of specific Prometheus metric trends.generate_observability_report: Creates structured HTML/PDF/Markdown reports of cluster state.chat_with_prometheus: Translates natural language questions into PromQL queries and explains results.get_gpu_metrics: Fetches hardware accelerator health and utilization data.
Installation
Exact claude_desktop_config.json snippet depends on the deployment mode (Helm/Operator). Typically configured as an HTTP/SSE server:
{
"mcpServers": {
"ai-observability": {
"url": "http://your-openshift-route/mcp"
}
}
}
Supported hosts
Confirmed integration with OpenShift Console and general MCP clients.
Quick install
make install NAMESPACE=your-namespaceInformation
- Pricing
- free
- Published
- 7/10/2026
- Updated
- 1 month ago
- stars
- 25
Categories
Choose your AI client and follow the steps below.
Claude Desktop
{
"mcpServers": {
"ai-observability": {
"url": "http://your-openshift-route/mcp"
}
}
}






