Model Context Protocol server for CAST.AI - manage Kubernetes clusters via natural language
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# CAST.AI MCP Server Model Context Protocol (MCP) server for the CAST.AI API. This server enables Claude Desktop and other MCP clients to interact with your CAST.AI Kubernetes clusters through natural language. ## Features - **5 Cluster Management Tools**: - `list_clusters` - List all your Kubernetes clusters - `get_cluster_details` - Get detailed information about a specific cluster - `get_cluster_policies` - View cluster policies and configuration - `get_cluster_score` - Get cluster optimization score - `get_cluster_score_history` - View historical cluster score data - **Simple Authentication**: API key-based authentication (no OAuth complexity) - **Local Only**: Works with Claude Desktop via stdio transport - **Cluster Name Resolution**: Use either cluster UUID or friendly cluster name ## Prerequisites - **For npx installation (recommended)**: Node.js 16+ and [uv](https://docs.astral.sh/uv/) - **For uvx installation**: [uv](https://docs.astral.sh/uv/) only - **For local development**: Python 3.11+ and [uv](https://docs.astral.sh/uv/) - **Always required**: CAST.AI account with API access ## Installation ### Quick Start (Recommended) ⭐ The easiest way to use CAST.AI MCP Server - no installation or cloning required! **1. Get your CAST.AI API key**: - Visit [console.cast.ai](https://console.cast.ai) - Navigate to **Settings** > **API Keys** - Click **Create API Key** - Choose **Read-only** access (recommended) or **Full access** - Copy the generated API key **2. Configure Claude Desktop**: Edit your Claude Desktop configuration file: - **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` - **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` Add this configuration: ```json { "mcpServers": { "castai": { "command": "npx", "args": ["-y", "castai-mcp-server@latest"], "env": { "CASTAI_API_KEY": "your-api-key-here" } } } } ``` **3. Restart Claude Desktop** T…
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