"Prometheus" matching MCP servers:

Prometheus-MCP is an AI Creative Director MCP server that enhances creative output from models like Claude and GPT to expert-level quality through iterative improvement loops.

Provides AI assistants with direct access to Red Hat OpenShift AI observability data, enabling querying of Prometheus metrics, Alertmanager alerts, Loki logs, Grafana dashboards, and Kubernetes cluster state to troubleshoot vLLM inference workloads.

Enables MCP-capable harnesses to apply TypeSafe/Jev's System One decision model through judgment primitives and task-shaped tools, with local event logging and Prometheus metrics for impact tracking.

Enables local research workflows (paper discovery, relevance scoring, digests) and homelab monitoring (Prometheus, logs) through an MCP server, using local LLM inference via Ollama with no cloud dependencies.

Exposes multiple LLM providers (AWS Bedrock, OpenAI, Google Gemini, local Ollama) as MCP tools with automatic routing by task type and Prometheus metrics, enabling any MCP-compatible client to generate text, route prompts, and list providers.