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io.github.jeanlopezxyz/mcp-prometheus

A Model Context Protocol (MCP) server for Prometheus monitoring

Developer ToolsGov2.1.1

Prometheus MCP Server (Go)

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

VariableDescription
PROMETHEUS_URLDirect Prometheus API URL (overrides K8S auto-connect)

CLI Flags

FlagDescriptionDefault
--urlDirect Prometheus URL-
--namespaceKubernetes namespaceopenshift-monitoring
--serviceKubernetes service nameprometheus-operated
--service-portKubernetes service port9090
--service-schemeService scheme (http/https)https
--kubeconfigPath to kubeconfig fileauto-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

ToolDescription
queryExecute a PromQL instant query
queryRangeExecute a PromQL range query over time
getTargetsGet scrape targets status
getRulesGet alerting and recording rules
getPrometheusStatusGet server version and runtime info

Cluster Diagnostics

ToolDescription
getClusterHealthOverviewComprehensive cluster health overview
diagnoseNodeDiagnose a specific node's health
diagnoseNamespaceDiagnose a namespace's health

Resource Analysis

ToolDescription
getTopResourceConsumersTop CPU/memory/network consumers
investigatePodDeep investigation of a specific pod
compareTimeRangesCompare 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
ParameterDescriptionDefault
image.registryContainer registryghcr.io
image.repositoryImage repositoryjeanlopezxyz/mcp-prometheus
image.versionImage taglatest
openshiftEnable OpenShift Routesfalse
service.portService port8080
prometheus.namespacePrometheus namespaceopenshift-monitoring
prometheus.servicePrometheus service nameprometheus-operated
rbac.useClusterReaderUse cluster-reader roletrue
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

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
npx -y mcp-prometheus

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-jeanlopezxyz-mcp-prometheus": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-prometheus"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

mcp-prometheusnpm

Compatible MCP Clients

io.github.jeanlopezxyz/mcp-prometheus works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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