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redhat-performance/openshift-mcp-server

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OpenShift MCP Server - Monitor and manage OpenShift/Kubernetes clusters through AI IDE

概览

A Model Context Protocol (MCP) server for monitoring and managing OpenShift/Kubernetes clusters. This server provides real-time cluster insights through AI assistants, enabling natural language queries about your cluster health, performance, and resource usage. - : Check overall cluster health and identify stability issues - : Retrieve real-time performance metrics for nodes and pods - : Detect pods and nodes with resource allocation problems - : Analyze pod disruptions and restart patterns - : Check node conditions and identify problematic nodes - : Monitor deployment status and rollout health - : Check kubelet, CRI-O status and analyze journalctl logs - : Create deployments with guaranteed QoS and resource management - : Deploy PostgreSQL, MySQL, MongoDB, or Redis with persistent storage - : Set up horizontal pod autoscalers with CPU/memory targets - : Create and configure services (ClusterIP, NodePort, LoadBalancer) - : Create network policies for secure pod-to-pod...

README

以下为原文 README 节选,完整内容请查看原文。

OpenShift MCP Server

A Model Context Protocol (MCP) server for monitoring and managing OpenShift/Kubernetes clusters. This server provides real-time cluster insights through AI assistants, enabling natural language queries about your cluster health, performance, and resource usage.

Features

Core Monitoring Capabilities

  • Cluster Health Monitoring: Check overall cluster health and identify stability issues
  • Performance Metrics: Retrieve real-time performance metrics for nodes and pods
  • Resource Issue Detection: Detect pods and nodes with resource allocation problems
  • Pod Disruption Analysis: Analyze pod disruptions and restart patterns
  • Node Condition Monitoring: Check node conditions and identify problematic nodes
  • Deployment Monitoring: Monitor deployment status and rollout health
  • System Diagnostics: Check kubelet, CRI-O status and analyze journalctl logs

Deployment & Configuration Management

  • Application Deployment: Create deployments with guaranteed QoS and resource management
  • Database Services: Deploy PostgreSQL, MySQL, MongoDB, or Redis with persistent storage
  • Auto-scaling: Set up horizontal pod autoscalers with CPU/memory targets
  • Service Management: Create and configure services (ClusterIP, NodePort, LoadBalancer)
  • Network Security: Create network policies for secure pod-to-pod communication

Performance Testing & Benchmarking

  • Cluster Performance: Execute kube-burner density testing for application deployment performance
  • Storage Benchmarks: Run FIO workloads for sequential/random read/write performance testing
  • Network Testing: Test network throughput, latency, and packet loss with iperf3
  • Resource Stress Testing: Perform CPU and memory stress testing on worker nodes
  • Database Benchmarking: Execute PostgreSQL (pgbench) or MySQL (sysbench) performance tests

Remote Execution Capabilities for Advanced Performance Testing and Benchmarking

  • Bastion Host Support: Execute tests on private clusters through jump hosts
  • SSH Integration: Secure remote command execution with credential management
  • Multi-Cluster Testing: Test across different OpenShift environments
  • Automated Benchmarking: Schedule and run performance tests through AI assistants
  • Remote Execution: Execute performance benchmarks and tools on remote clusters through bastion hosts
  • Multi-Cluster Support: Manage and test across different OpenShift environments

Prerequisites

  • Node.js 18+
  • Access to an OpenShift/Kubernetes cluster
  • Valid kubeconfig file or in-cluster configuration
  • SSH access to bastion hosts (for remote deployments)

Bastion Host Setup

For remote cluster access through bastion hosts, follow these two setup phases:

Phase 1: Authentication Setup

For remote cluster access through bastion hosts, you can use either SSH key (recommended) or password authentication:

在 GitHub 查看完整 README

安装

docker run -v ~/.kube/config:/root/.kube/config openshift-mcp-server
新手?先看 mcpskill.org 教程 →

配置

{ "mcpServers": { "openshift-mcp-server": { "command": "node", "args": ["/path/to/openshift-mcp-server/remote-launcher.js"], "env": { "MCP_BASTION_HOST": "your-bastion-host.com", "MCP_BASTION_USER": "your-username", "MCP_SSH_KEY": "/path/to/your/ssh/key", "MCP_REMOTE_PATH": "/opt/openshift-mcp-server", "MCP_REMOTE_KUBECONFIG": "/path/to/remote/kubeconfig", "MCP_REMOTE_NODE_ENV": "production" }, "cwd": "/path/to/openshift-mcp-server" } } }