🚀 Installation & Setup
Quick Install
# Clone the repository
git clone https://github.com/Flux159/mcp-server-kubernetes
cd mcp-server-kubernetes
# Install dependencies
npm install
# Build and run
npm run build
npm start
Prerequisites
- Node.js 18+ or Python 3.8+ (depending on implementation)
- MCP-compatible client (Claude Desktop, Continue, etc.)
- Basic understanding of Model Context Protocol
⚙️ Configuration
MCP Settings Configuration
{
"mcpServers": {
"server-kubernetes-mcp": {
"command": "node",
"args": ["path/to/server-kubernetes-mcp/dist/index.js"],
"env": {
"API_KEY": "your-api-key-here",
"DEBUG": "false"
}
}
}
}
Environment Variables
Set these environment variables based on your needs:
- • API_KEY - Your API key (if required)
- • DEBUG_MODE - Enable debug logging
- • TIMEOUT - Request timeout in seconds
💡 Usage Examples
Basic Usage
// Example: Upload file to cloud storage
const uploadResult = await mcpClient.callTool('upload', {
file: 'local-file.pdf',
bucket: 'my-bucket',
key: 'documents/file.pdf'
});
console.log('File uploaded:', uploadResult.url);
Integration Guide
This MCP server can be integrated into various AI applications and workflows. Check the GitHub repository for detailed integration examples and API documentation.
View Documentation👥 Contributors
❓ FAQ
Which cloud providers are supported?
How is billing handled?
Is auto-scaling available?
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