What are the prerequisites?
Python 3.7+, kubectl installed and configured, access to a Kubernetes cluster, and an MCP client (e.g., Claude Desktop).
@endo-sys
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"kubernecetes-mcp-server": {
"command": "python",
"args": [
"-m",
"mcp.inspector",
"src/k8s_mcp_server.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。
The Kubernetes MCP Server is a Model Context Protocol server that enables natural language interaction with a Kubernetes cluster through an MCP client. It provides comprehensive Kubernetes operations including pods, deployments, services, namespaces, and cluster management.
Clone the repository, install dependencies with pip install -r requirements.txt, then run the server via MCP Inspector, install it in Claude Desktop, or execute directly. Once connected, issue natural language commands like “Get all pods in the default namespace” or “Scale the backend deployment to 3 replicas.”
Python 3.7+, kubectl installed and configured, access to a Kubernetes cluster, and an MCP client (e.g., Claude Desktop).
Clone the repository and run `pip install -r requirements.txt` to install dependencies.
Use `python -m mcp.inspector src/k8s_mcp_server.py` for development, `python -m mcp.install src/k8s_mcp_server.py` to install in Claude Desktop, or run `python src/k8s_mcp_server.py` directly.
Pod, deployment, service, namespace, and cluster operations including get, describe, scale, logs, exec, rollout management, and node scheduling.
No; the server uses your existing kubectl configuration for cluster access.
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Put the project you are working on online. Deploys the current folder or a GitHub repo to a live HTTPS URL on Dockhold; reads status and logs, sets variables, resizes apps and databases...
An MCP server for Azure DevOps
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.

Model Context Protocol Servers
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