Kubernetes를 위해 구축된 80개의 MCP를 찾아보세요.
Provides natural language processing and API access to Kubernetes clusters, combining kubectl commands and the Kubernetes Python client.
Provides a comprehensive platform to view and interact with Kubernetes clusters through a dashboard, REST API, and AI-enabled Model Context Protocol (MCP) server.
Exposes the VaultMesh-Architect skill as explicit, auditable tools, supporting subsystem spawning, multi-chain anchoring, governance entries, and capability issuance.
Enables programmatic interaction with Kubernetes resources by implementing the Model Context Protocol server.
Provides a production-ready server for Kubernetes observability and debugging.
Manage Kubernetes clusters using natural language input via AI assistants.
Provides an agentic interface for diagnosing Kubernetes cluster issues using natural language queries.
Provide secure access and granular authorization for Kubernetes-based Model Context Protocol (MCP) servers using Pomerium and Google OAuth 2.0.
Manages Kubernetes clusters through a natural language interface, leveraging an AI agent for real-time operations and conversational control.
Provides essential insights into the performance and health of microservices in Kubernetes environments.
Provides read-only tools for safely interacting with and observing Kubernetes clusters without risk of mutation.
Provides a Model Context Protocol (MCP) server for interacting with and managing Kubernetes clusters.
Orchestrate and automate Kubernetes clusters by leveraging Model Context Protocol tools for seamless management of deployments, services, and configurations.
Provides a standardized API for simultaneous interaction with multiple Kubernetes clusters using various kubeconfig files.
Manage Kubernetes clusters and resources by connecting to the Model Context Protocol (MCP) server.
Categorizes Kubernetes-related tools for MCP Server.
Provides slides and materials for a workshop on deploying applications to Kubernetes.
Manages Kubernetes clusters and Helm releases through a unified server interface, built on the FastMCP framework.
Provides intelligent analysis and configuration assistance for Helm chart dependencies, enabling AI agents to understand and validate chart structures.
Analyzes application installation requirements from Git repositories and validates them against OpenShift/Kubernetes cluster resources.
End of results