What are the prerequisites to run License?
Python 3.13 or higher, the `uv` package manager, and access to Kubernetes clusters via `~/.kube/config` or in-cluster config.
@bourbonkk
基本信息
Kubernetes Control Plane Server for Managing Multiple Clusters – the central pilot for your k8s fleets
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"k8s-pilot": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"k8s_pilot.py"
]
}
}
}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。
License is a lightweight, centralized control plane server that manages multiple Kubernetes clusters at once. It provides powerful tools and intuitive APIs to observe and control all clusters from a single cockpit, and is powered by the Model Context Protocol (MCP) for use with Claude AI and beyond.
Clone the repository, install uv (Python 3.13+ package manager), then launch the server with uv run --with mcp[cli] mcp run k8s_pilot.py. For Claude Desktop, add the provided MCP server configuration to your Claude Desktop settings, replacing <path-to-cloned-repo> with your actual repository path.
Python 3.13 or higher, the `uv` package manager, and access to Kubernetes clusters via `~/.kube/config` or in-cluster config.
Add the provided MCP server configuration to your Claude Desktop `mcpServers` block, using the `uv` command with the appropriate directory and arguments.
Deployments, Services, Pods, ConfigMaps, Secrets, Ingresses, StatefulSets, DaemonSets, Roles, ClusterRoles, PersistentVolumes, and PersistentVolumeClaims.
It supports context-aware operations, allowing you to seamlessly switch between clusters using MCP prompts.
License is distributed under the MIT License. See the LICENSE file for details.
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MCP Server for kubernetes management commands

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