What are the prerequisites to run K8s Mcp Server?
Docker (optional), Python 3.12 or higher, and the `uv` package manager are required.
@chinnareddy578
基本信息
K8s MCP Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"k8s-mcp-server": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"http://localhost:8081/mcp"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
K8s Mcp Server is a Model Control Protocol (MCP) server for Kubernetes operations. It provides tools for managing deployments, pods, services, and more.
You can run it using Docker (docker pull chinnareddy578/k8s-mcp-server, then docker run -p 8080:8080) or directly with Python (create a virtual environment with uv venv .venv, activate it, install dependencies with uv pip install -e ., and run python src/main.py). Configure MCP clients like GitHub Copilot or Claude Desktop to point to http://localhost:8080 (or http://localhost:8081/sse for Claude Desktop) using the provided JSON configurations.
uv for Python environment management.Docker (optional), Python 3.12 or higher, and the `uv` package manager are required.
Pull the image with `docker pull chinnareddy578/k8s-mcp-server` and run the container with `docker run -p 8080:8080`.
In your Copilot settings, set the MCP server URL to `http://localhost:8080` and use the provided JSON configuration with `mcp-remote`.
Ensure the Docker container is running and the port is correctly mapped. Check with `docker ps`.
It provides tools for managing deployments, pods, services, and other Kubernetes resources.
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