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Prometheus Monitoring

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Query and interact with Prometheus monitoring systems.

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About

Query and interact with Prometheus monitoring systems.

README

License: MIT npm version Go GitHub release

A Model Context Protocol (MCP) server for Prometheus integration. Native Go binary with built-in Kubernetes connectivity via client-go.

Installation

npx

npx -y mcp-prometheus@latest

MCP Client Configuration

Add to your MCP client configuration (VS Code, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "prometheus": {
      "command": "npx",
      "args": ["-y", "mcp-prometheus@latest"],
      "env": {
        "PROMETHEUS_URL": "http://localhost:9090"
      }
    }
  }
}

VS Code

code --add-mcp '{"name":"prometheus","command":"npx","args":["-y","mcp-prometheus@latest"],"env":{"PROMETHEUS_URL":"http://localhost:9090"}}'

Kubernetes Auto-Connect

Automatically connects to Prometheus running in OpenShift/Kubernetes via the K8S API service proxy. Uses native kubeconfig/in-cluster config via client-go. No kubectl or port-forwarding required.

Default: openshift-monitoring/prometheus-operated:9090

{
  "mcpServers": {
    "prometheus": {
      "command": "npx",
      "args": ["-y", "mcp-prometheus@latest"]
    }
  }
}

Binary

Download from GitHub Releases or build from source:

make build
./mcp-prometheus

Configuration

Environment Variables

Variable Description
PROMETHEUS_URL Direct Prometheus API URL (overrides K8S auto-connect)

CLI Flags

Flag Description Default
--url Direct Prometheus URL -
--namespace Kubernetes namespace openshift-monitoring
--service Kubernetes service name prometheus-operated
--service-port Kubernetes service port 9090
--service-scheme Service scheme (http/https) https
--kubeconfig Path to kubeconfig file auto-detect

Precedence: --url / PROMETHEUS_URL > K8S auto-connect

Connection strategy:

  1. Direct URL (if --url or PROMETHEUS_URL is set)
  2. K8S API proxy (auto-detect kubeconfig or in-cluster config)

Tools (11)

Basic Queries

Tool Description
query Execute a PromQL instant query
queryRange Execute a PromQL range query over time
getTargets Get scrape targets status
getRules Get alerting and recording rules
getPrometheusStatus Get server version and runtime info

Cluster Diagnostics

Tool Description
getClusterHealthOverview Comprehensive cluster health overview
diagnoseNode Diagnose a specific node's health
diagnoseNamespace Diagnose a namespace's health

Resource Analysis

Tool Description
getTopResourceConsumers Top CPU/memory/network consumers
investigatePod Deep investigation of a specific pod
compareTimeRanges Compare metrics between two time periods

Example Prompts

"What's the current CPU usage across all nodes?"
"Show me the cluster health overview"
"Which pods are using the most memory?"
"Diagnose node worker-1"
"Are all scrape targets healthy?"
"Compare CPU usage now vs 24 hours ago"
"Investigate pod my-app in namespace production"
"What alerting rules are defined?"

Development

Build

make build              # Build for current platform
make build-all-platforms # Cross-compile for all platforms

Container

podman build -f Containerfile -t mcp-prometheus .

Kubernetes / OpenShift Deployment

Container Image

The container image is available on GitHub Container Registry:

ghcr.io/jeanlopezxyz/mcp-prometheus:latest

Helm Chart

Deploy using the included Helm chart:

# Add the chart repository (or use local chart)
helm upgrade --install mcp-prometheus ./charts/mcp-prometheus \
  --namespace mcp-servers \
  --create-namespace \
  --set openshift=true

Helm Values

Parameter Description Default
image.registry Container registry ghcr.io
image.repository Image repository jeanlopezxyz/mcp-prometheus
image.version Image tag latest
openshift Enable OpenShift Routes false
service.port Service port 8080
prometheus.namespace Prometheus namespace openshift-monitoring
prometheus.service Prometheus service name prometheus-operated
rbac.useClusterReader Use cluster-reader role true

Example with custom Prometheus

helm upgrade --install mcp-prometheus ./charts/mcp-prometheus \
  --namespace mcp-servers \
  --set openshift=true \
  --set prometheus.url=http://prometheus.monitoring:9090

License

MIT

from github.com/jeanlopezxyz/mcp-prometheus

Installing Prometheus Monitoring

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/jeanlopezxyz/mcp-prometheus

FAQ

Is Prometheus Monitoring MCP free?

Yes, Prometheus Monitoring MCP is free — one-click install via Unyly at no cost.

Does Prometheus Monitoring need an API key?

No, Prometheus Monitoring runs without API keys or environment variables.

Is Prometheus Monitoring hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Prometheus Monitoring in Claude Desktop, Claude Code or Cursor?

Open Prometheus Monitoring on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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