What dependencies are required?
The server requires `k8sgpt` and an Azure OpenAI resource. Authentication must be added via `k8sgpt auth add`.
@chokevin
基本信息
playing around with mcp servers and aks
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An experimental Model Context Protocol (MCP) server that integrates with Azure Kubernetes Service (AKS). It uses k8sgpt and Azure OpenAI for diagnostics and is intended for exploring MCP server capabilities with AKS.
Run the server locally with the Inspector using the command uv run mcp dev aks.py. Beforehand, configure k8sgpt authentication with Azure OpenAI by running k8sgpt auth add -b azureopenai -u <endpoint-url> -p <api-key> -e gpt-4o.
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Note: The README does not explicitly list features.
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Note: The README does not describe specific use cases.
The server requires `k8sgpt` and an Azure OpenAI resource. Authentication must be added via `k8sgpt auth add`.
Use `uv run mcp dev aks.py` to launch the server with the MCP Inspector.
The README does not specify transport or authentication details beyond the k8sgpt Azure OpenAI setup.

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