Komodor MCP Server - Intelligent AI assistant for Kubernetes infrastructure
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# Komodor MCP Server > **⚠️ Beta Release**: This package is currently in beta. Features and APIs may change in future releases. A comprehensive MCP (Model Context Protocol) server for Komodor that provides AI assistants with intelligent access to Kubernetes infrastructure monitoring and health analysis data. ## 🚀 Features - **🔧 9 Powerful Tools**: Complete Kubernetes infrastructure analysis and monitoring - **📊 Health Monitoring**: Real-time cluster health risks and violation analysis - **🔍 Root Cause Analysis**: AI-powered Klaudia RCA for incident investigation - **⚡ FastMCP Implementation**: Modern async architecture with Starlette - **🛡️ Type-Safe**: Full type hints and Pydantic models - **🌐 Dual Transport**: HTTP and stdio transport modes - **📝 Smart Prompts**: Pre-built analysis templates for common scenarios ## 📦 Installation ### Prerequisites - Python 3.11 or higher - Komodor account and API key - `uv` package manager (recommended) for `uvx` command ### Quick Install with uvx (Recommended) The easiest way to use Komodor MCP is via `uvx`, which automatically installs and runs the package: ```bash # Run directly with uvx (no installation needed) uvx komodor-mcp --transport stdio ``` `uvx` will automatically download and install the package from PyPI if it's not already cached, making it perfect for MCP client configurations. ### Development Installation For local development or customization: ```bash # Clone the repository git clone https://github.com/komodor/komodor-mcp.git cd komodor-mcp # Install dependencies uv sync # Or with pip pip install -e . ``` ### Environment Setup Create a `.env` file in the project root: ```bash # Required: Your Komodor API key KOMODOR_API_KEY=your-api-key-here # Optional: API base URL (defaults to production) KOMODOR_API_BASE_URL=https://api.komodor.com # Optional: Server configuration MCP_SERVER_HOST=localhost MCP_SERVER_PORT=8002 LOG_LEVEL=INFO ``` ## 🚀 Quick Start ### HTTP Transport (Recommended…
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