query_prometheus_range
Execute a PromQL range query to get time-series data (trends, spikes, correlations)
How to use it
query_prometheus_range is exposed by the Rhoai Observability MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the query_prometheus_range tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
Install Rhoai Observability MCP
uv pip install -e ".[dev]"Other tools in Rhoai Observability MCP (20)
Get detailed description of a Kubernetes resource
Get alerts grouped by their routing labels
Get active alerts from Alertmanager, filterable by severity and labels
Get panels and their queries from a Grafana dashboard
List Kubernetes events, filterable by resource and reason
List KServe InferenceService resources
Get node status, capacity, and GPU allocation info
Get logs for a specific pod by namespace and name
List pods in a namespace with status, restarts, and creation time
Fetch a distributed trace by its trace ID
Get a summary of key vLLM metrics (TTFT, TPOT, E2E, cache, queue) for a model
Correlate error logs, alerts, and Kubernetes events in a namespace
Correlate GPU utilization, KV cache, queue depth, and pod status
Correlate latency metrics, error logs, and alerts for a vLLM model
List available Grafana dashboards, filterable by tag or title
List available Prometheus metric names, optionally filtered by regex
List available trace tag names for building TraceQL queries
Execute a LogQL query against OpenShift LokiStack
Execute a raw PromQL query against ThanosQuerier
Search for traces using TraceQL expressions