Kubernetes MCP
The official Kubernetes MCP server enables AI models to interact with Kubernetes clusters directly. It provides tools to manage pods, deployments, services, and other cluster resources. This integration is essential for DevOps engineers and developers who want to use AI to automate cluster management, troubleshoot issues, and monitor application health.
How to Install
1. Ensure you have an MCP client installed (e.g., Claude Desktop)
2. Click 'Visit Source' below to get the code or package
3. Follow the README instructions in the project
4. Add the server configuration to your MCP client config file
Configuration Example (claude_desktop_config.json)
{
"mcpServers": {
"kubernetes": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-kubernetes"
]
}
}
}Key Features
Complete resource management (Pods, Deployments, Services, etc.)
Real-time log streaming and event monitoring
Cluster health and resource usage analysis
Support for multiple contexts and namespaces
Server Details
The official Kubernetes MCP server enables AI models to interact with Kubernetes clusters directly. It provides tools to manage pods, deployments, services, and other cluster resources. This integration is essential for DevOps engineers and developers who want to use AI to automate cluster management, troubleshoot issues, and monitor application health.
Visit Source / Official Link
Go to the official repository for source code, docs, and installation.
GitHub