aks-mcp and mcp-k8s
The two tools are ecosystem siblings because they are both MCP servers, where one (Azure/aks-mcp) is specifically tailored for Azure Kubernetes Service (AKS) clusters and the other (silenceper/mcp-k8s) provides a more general interaction with Kubernetes clusters through the MCP protocol.
About aks-mcp
Azure/aks-mcp
A Model Context Protocol (MCP) server that enables AI assistants to interact with AKS clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and AKS.
Implements flexible Azure authentication (service principal, workload identity, managed identity) via Azure CLI, with role-based access control (readonly/readwrite/admin) to gate sensitive operations. Provides unified tools for Azure CLI operations, AKS cluster management, network resources, monitoring/diagnostics, and node-level log collection, supporting both modern and legacy tool interfaces for backward compatibility.
About mcp-k8s
silenceper/mcp-k8s
A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.
Implements stdio, SSE, and HTTP transport modes for flexible client integration, with granular permission controls enabling selective enable/disable of read and write operations. Leverages the mcp-go SDK and Kubernetes client-go library to provide CRUD operations on all resource types (including CRDs) and integrated Helm v3 release/repository management. Designed as an intelligent operations assistant for LLM-driven cluster management, supporting natural language problem diagnosis, batch operations, and configuration validation.
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