Which integrations are available for this server?

Provides tools for querying Prometheus metrics, including instant and range queries, scrape targets, alerting rules, cluster health diagnostics, node and namespace diagnosis, top resource consumers, and pod investigation.

How do I use Prometheus MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Prometheus MCP Server What's the current CPU usage across all nodes?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Prometheus MCP Server

by jeanlopezxyz

Overview Schema Related Servers Score Discussions

Remote

Prometheus MCP Server (Go)

License: MIT npm version 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

Related MCP server: Kubernetes MCP Server

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:

Direct URL (if --url or PROMETHEUS_URL is set)
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

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

0dRelease cycle

12Releases (12mo)

Commit activity

Resources

GitHub Repository

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