Prometheus MCP Server

Prometheus MCP Server

Enables querying Prometheus metrics, performing cluster diagnostics, and analyzing resource usage through natural language, with automatic Kubernetes connectivity.

Category
访问服务器

README

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

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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选