Descubre 70 MCPs desarrollados para Kubernetes.
Provides an official Python client library for interacting with the Kubernetes API.
Provides an AI-native API gateway for cloud-native applications, extending Envoy and Istio with Wasm plugins.
Connects to a Kubernetes cluster and enables management via commands.
Provides a Model Context Protocol (MCP) server for managing Kubernetes and OpenShift resources.
Enables AI assistants to interact with Kubernetes clusters through natural language via the Model Context Protocol (MCP).
Simplifies Kubernetes cluster management with an AI-powered, lightweight dashboard featuring multi-cluster support and intelligent analysis.
Implements a Model Context Protocol (MCP) server for Kubernetes and OpenShift, enabling seamless interaction and management of Kubernetes resources.
Connects to Kubernetes, providing a Model Context Protocol (MCP) server for interacting with Kubernetes resources.
Enhances software development workflows with AI-powered automation for Kubernetes deployment, documentation testing, and shared prompt management.
Securely executes Kubernetes commands from AI assistants like Claude by acting as a Model Context Protocol (MCP) server.
Simplifies Kubernetes operations by providing an SDK-level abstraction of kubectl and client-go, offering easy resource management and MCP server capabilities.
Enables interaction with Kubernetes clusters through Model Control Protocol (MCP) tools.
Provides a standardized interface to interact with and manage Kubernetes clusters.
Enables LLM-powered applications to interact with Kubernetes clusters by providing a Model Context Protocol server.
Enables AI assistants to interact with Kubernetes clusters using natural language.
Provides safe, read-only access to Kubernetes cluster resources for debugging and inspection via a Model Context Protocol server.
Provides a queue-based actor framework for orchestrating AI/ML workloads on Kubernetes.
Enables AI agents to safely manage Kubernetes applications by abstracting complexity and ensuring production-ready configurations.
Manage Kubernetes resources through natural language using large language models.
Provides an AI-powered interface for debugging and inspecting Kubernetes clusters with eBPF-based gadgets.
Scroll for more results...