by Azure · MCP Server · ★ 127
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AKS-MCP The AKS-MCP is a Model Context Protocol (MCP) server that enables AI assistants to interact with Azure Kubernetes Service (AKS) clusters. It serves as a bridge between AI tools (like GitHub Copilot, Claude, and other MCP-compatible AI assistants) and AKS, translating natural language requests into AKS operations and returning the results in a format the AI tools can understand. It allows AI tools to: Operate (CRUD) AKS resources Retrieve details related to AKS clusters (VNets, Subnets, NSGs, Route Tables, etc.) Manage Azure Fleet operations for multi-cluster scenarios How it works AKS-MCP connects to Azure using the Azure SDK and provides a set of tools that AI assistants can use to interact with AKS resources. It leverages the Model Context Protocol (MCP) to facilitate this communication, enabling AI tools to make API calls to Azure and interpret the responses. Azure CLI Authentication AKS-MCP uses Azure CLI (az) for AKS operations.
| Stars | 127 |
| Forks | 35 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 54.1/100 |
| Open Issues | 12 |
| Last Updated | 2026-04-15 |
| Created | 2025-04-25 |
| Platforms | claude-code, go, k8s, mcp |
| Est. Tokens | ~3593k |
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aks-mcp is 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.. It is categorized as a MCP Server with 127 GitHub stars.
aks-mcp is primarily written in Go. It covers topics such as kubernetes, mcp-server, model-context-protocol.
You can find installation instructions and usage details in the aks-mcp GitHub repository at github.com/Azure/aks-mcp. The project has 127 stars and 35 forks, indicating an active community.
aks-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to aks-mcp on Agent Skills Hub include mcp-for-argocd, phpMyFAQ, jetski. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.