Kubernetes MCP Server
@ehiaig
Kubernetes MCP Server について
An MCP server for debugging and managing Kubernetes using Natural Language
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Kubernetes MCP Server?
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.
How to use Kubernetes MCP Server?
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.
Key features of Kubernetes MCP Server
- Debug a single Kubernetes config YAML file
- Debug an entire Kubernetes config folder
- Pod management: list, get, logs, delete
- Connect to and manage Kubernetes clusters via natural language
Use cases of Kubernetes MCP Server
- Quickly identify misconfigurations in a deployment YAML file
- Review an entire directory of Kubernetes manifests for errors
- Troubleshoot a failing pod by fetching logs and describing resources
- Ask for a summary of running pods in a cluster without using
kubectl
FAQ from Kubernetes MCP Server
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.
Can I manage deployments or services?
Only pod management is implemented at this time. Deployment, service, and namespace management are planned but not yet available.
Is it safe to use with sensitive data?
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.
What runtime dependencies are required?
Python, uv, and a Claude Desktop client. The server is run via uv from the cloned repository or installed package.
How do I configure the server in Claude Desktop?
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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