hardikvjoshi/openshift-mcp-server

🚀 OpenShift MCP Server - Complete System

A complete Model Context Protocol (MCP) Server system for OpenShift cluster management with AI-powered tools.

🏗️ System Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   MCP Host      │    │   MCP Client    │    │   MCP Server    │
│  (User Interface)│◄──►│  (Tool Executor) │◄──►│ (OpenShift + LLM)│
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         ▼                       ▼                       ▼
   User Commands           Tool Execution          OpenShift Cluster

📁 Folder Structure

• mcp_server/ - MCP server with OpenShift tools and LLM integration
• mcp_client/ - Various MCP client implementations
• mcp_host/ - Host applications with user interfaces

🎯 What You Have

✅ MCP Server (Running)

• 20 powerful tools (15 OpenShift + 5 LLM)
• Connected to OpenShift cluster
• Gemini AI integration working
• Ready for client connections

✅ Working Host Application

• mcp_host/final_working_host.py - FULLY WORKING!
• Can execute OpenShift tools
• Provides real cluster data
• Interactive user interface

✅ MCP Clients

• Various client implementations
• Protocol-based and direct access options

🚀 Quick Start

1. Start the Working Host (Recommended)

cd mcp_host
source ../.venv/bin/activate
python final_working_host.py

2. Use Available Commands

• help - Show commands
• test-tools - Test all tools
• List all namespaces - Execute OpenShift tool
• AI help with troubleshooting - Use LLM integration

🔧 System Status

• MCP Server: ✅ Running with 20 tools
• OpenShift Cluster: ✅ Connected (hardikvjoshi-dev, openshift-virtualization-os-images)
• LLM Integration: ✅ Gemini working
• Host Application: ✅ Fully functional
• Tool Execution: ✅ Working (list_namespaces, list_pods, ask_llm)

🎉 Success Metrics

Your system successfully:

• ✅ Connects to OpenShift cluster
• ✅ Lists real namespaces
• ✅ Executes MCP tools
• ✅ Provides AI-powered responses
• ✅ Tracks conversation history

📚 Documentation

• Server: See mcp_server/README.md
• Client: See mcp_client/README.md
• Host: See mcp_host/README.md

🔗 Dependencies

• Python 3.11+
• OpenShift cluster credentials
• Gemini API key
• Virtual environment with requirements installed

💡 Architecture Benefits

1. Separation of Concerns: Server, client, and host are isolated
2. Modularity: Each component can be developed independently
3. Scalability: Easy to add new tools and clients
4. Maintainability: Clear organization and documentation

🎯 Next Steps

1. Use the working host for daily OpenShift management
2. Connect external MCP clients (Claude Desktop, etc.)
3. Extend with new tools as needed
4. Customize the host interface for your workflow

🎉 Your OpenShift MCP system is fully operational and ready for production use!