Search Results for "kubernetes"

A powerful and flexible Model Context Protocol (MCP) server implementation designed for seamless integration with Kubernetes and OpenShift environments, enabling enhanced interaction and management capabilities for AI assistants. ​

A Kubernetes Operations Manager (kom) that serves as an SDK-level tool, encapsulating functionalities of kubectl and client-go, providing a comprehensive suite of features for managing Kubernetes resources efficiently. ​

A Golang-based MCP server that connects AI assistants to Kubernetes clusters, enabling efficient management and operation of Kubernetes resources through natural language commands. ​

KMCP is a companion toolchain for building, testing, and deploying MCP servers with a workflow that spans local development through Kubernetes production deployments. It includes a CLI for day-to-day development tasks like scaffolding new MCP projects, managing tools, building container images, and running an MCP server locally for validation. For cluster operations, it includes a Kubernetes controller that manages MCP server lifecycles using a dedicated Custom Resource Definition (CRD), allowing MCP servers to be represented as native Kubernetes objects you can operate with familiar kubectl-driven patterns. ...

An AI-driven Mini Kubernetes Dashboard designed to simplify cluster management, offering a lightweight console tool with integrated large language model capabilities for enhanced operational efficiency. ​

The RAD Security MCP Server is an MCP server that provides AI-powered security insights for Kubernetes and cloud environments. It integrates with the RAD Security platform to enhance security analysis and monitoring. ​

A tool designed to manage Kubernetes clusters and analyze workload statuses, providing insights and operational capabilities to enhance cluster performance and reliability. ​

...It exposes an MCP-compliant interface to clients while handling discovery, authentication, rate limiting, retries, and observability on the server side. The gateway scales horizontally, supports multi-cluster deployments on Kubernetes, and uses Redis for federation and caching across instances. Operators can define virtual servers, wire multiple transports, and optionally enable an admin UI for management and monitoring. Packaged for quick starts via PyPI and Docker, it targets production reliability with health checks, metrics, and structured logs. The project positions itself as an integration hub so agentic apps can “connect once, use many” backends with consistent policy and lifecycle control.