How do I install the server?
Install using `uv pip install` from the repository or clone the repo locally. Then add the server definition to your Claude Desktop JSON configuration file.
@ehiaig
Basic information
An MCP server for debugging and managing Kubernetes using Natural Language
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"kubernetes-mcp-server": {
"command": "/path/to/your/.local/bin/uv",
"args": [
"--directory",
"/path/to/this/repo/kubernetes-mcp-server/src/k8s_manager",
"run",
"-m",
"k8s_manager"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that lets you debug and manage Kubernetes configuration files and clusters using natural language. It can analyze a single YAML config, a folder of YAML files, and connect to clusters to manage pods (list, get, logs, delete). It is designed for developers and platform engineers who want to interact with Kubernetes through conversational AI.
Install the server via uv pip install git+https://github.com/ehiaig/kubernetes-mcp-server or by cloning the repo. Then add a corresponding entry to your Claude Desktop configuration file (claude_desktop_config.json) with the uv command and appropriate arguments. After configuring, you can send natural language queries to the server through Claude.
kubectlInstall using `uv pip install` from the repository or clone the repo locally. Then add the server definition to your Claude Desktop JSON configuration file.
Only pod management is implemented at this time. Deployment, service, and namespace management are planned but not yet available.
No. Do not configure clusters that contain secrets, passwords, or other sensitive data. Any sensitive information exchanged with the LLM may be compromised unless the LLM runs entirely on your local machine.
Python, `uv`, and a Claude Desktop client. The server is run via `uv` from the cloned repository or installed package.
Edit `claude_desktop_config.json` (located at `~/Library/Application Support/Claude/` on macOS or `%APPDATA%/Claude/` on Windows) and add an entry with the `uv` command pointing to the server's module.
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