Kubernetes MCP Server

Name: Kubernetes MCP Server
Author: ehiaig

@ehiaig

代码仓库

关于 Kubernetes MCP Server

An MCP server for debugging and managing Kubernetes using Natural Language

基本信息

分类

云与基础设施

运行时

python

传输方式

stdio

发布者

ehiaig

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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"
      ]
    }
  }
}

工具

未检测到工具

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。

概览

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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