Kubernetes MCP Server

What is Kubernetes MCP Server? The Kubernetes MCP Server is a Model Context Protocol (MCP) server designed to manage Kubernetes resources through large language models (LLMs) like Claude, allowing users to interact with Kubernetes clusters using natural language. How to use Kubernetes MCP Server? To use the Kubernetes MCP Server, install it by running go install github.com/basebandit/kai/cmd/kai, and integrate it with Claude for Desktop by editing the claude_desktop_config.json file to include the server command. Key features of Kubernetes MCP Server? Cluster Management: Connect to multiple Kubernetes clusters and switch contexts. Resource Operations: Create, read, update, and delete Kubernetes resources. Pod Management: List pods, get details, stream logs, and delete pods. Deployment Management: Create and manage deployments across namespaces. Service Operations: Interact with Kubernetes services. YAML Support: Apply Kubernetes manifests directly from YAML. Custom Resource Support: Work with custom resource definitions (CRDs). Use cases of Kubernetes MCP Server? Managing Kubernetes resources through natural language queries. Automating deployment processes in Kubernetes clusters. Simplifying the management of multiple Kubernetes clusters. FAQ from Kubernetes MCP Server? Can I manage multiple Kubernetes clusters? Yes! The server allows you to connect to and manage multiple clusters. Is there support for custom resources? Yes! The server supports custom resource definitions (CRDs). How do I install the server? You can install it by running go install github.com/basebandit/kai/cmd/kai.

As an MCP (Model Context Protocol) server, Kubernetes MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Kubernetes MCP Server, install it by running go install github.com/basebandit/kai/cmd/kai, and integrate it with Claude for Desktop by editing the claude_desktop_config.json file to include the server command. Key features of Kubernetes MCP Server? Cluster Management: Connect to multiple Kubernetes clusters and switch contexts. Resource Operations: Create, read, update, and delete Kubernetes resources. Pod Management: List pods, get details, stream logs, and delete pods. Deployment Management: Create and manage deployments across namespaces. Service Operations: Interact with Kubernetes services. YAML Support: Apply Kubernetes manifests directly from YAML. Custom Resource Support: Work with custom resource definitions (CRDs). Use cases of Kubernetes MCP Server? Managing Kubernetes resources through natural language queries. Automating deployment processes in Kubernetes clusters. Simplifying the management of multiple Kubernetes clusters. FAQ from Kubernetes MCP Server? Can I manage multiple Kubernetes clusters? Yes! The server allows you to connect to and manage multiple clusters. Is there support for custom resources? Yes! The server supports custom resource definitions (CRDs). How do I install the server? You can install it by running go install github.com/basebandit/kai/cmd/kai.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.