Kubernetes MCP Server is a powerful and flexible implementation designed to manage Kubernetes resources, including OpenShift. It supports operations such as CRUD (Create, Read, Update, Delete) on any Kubernetes resource, managing pods, viewing configurations (.kube/config), and more.
Kubernetes MCP Server provides an efficient way to interact with Kubernetes clusters by enabling automation for diagnosing and fixing deployments, listing resources, managing pods, and exposing container images. Its integration capabilities with tools like Claude Desktop and Goose CLI make it easy to adopt in workflows.
Developers, DevOps engineers, and Kubernetes administrators who need to automate tasks, manage resources, or integrate Kubernetes operations into custom workflows will find kubernetes-mcp-server highly useful.
It can be used in environments running Kubernetes clusters, including local setups, cloud-hosted clusters, and platforms like OpenShift. It integrates seamlessly with tools like Claude Desktop and Goose CLI.
The latest release mentioned is v0.0.13, and recent updates include features and fixes committed as of February 17, 2025.
You can start by installing it via npm using `npx`. For example, add it to your configuration files for tools like Claude Desktop (`claude_desktop_config.json`) or Goose CLI (`config.yaml`) under the `mcpServers` section.
Key features include support for generic Kubernetes resource operations (CRUD), pod-specific operations (listing, deleting, logging), configuration management, and automated diagnostics and fixes for OpenShift deployments.
Yes, it has explicit support for OpenShift and can be leveraged to diagnose and fix deployments automatically without user intervention.
Yes, demos are available, such as 'kubernetes-mcp-server-fix-openshift-deployment.mp4', showcasing its ability to diagnose and fix OpenShift deployments automatically.
The Dockerfile allows users to containerize the kubernetes-mcp-server, making it easier to deploy and run in various environments, including Kubernetes itself.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.