Kubernetes MCP Server
An MCP server for debugging and managing Kubernetes using Natural Language
ehiaig
README
Kubernetes MCP Server
An MCP server for debugging and managing Kubernetes config using Natural Language
This MCP Server lets you:
- Debug a kubernetes config yaml/yml file
- Debug an entire kubernetes config folder that contains yaml/yml files
- Connect and manage Kubernetes clusters
Features
- [x] Debug and analyze a kubernetes config yaml/yml file
- [x] Debug an entire kubernetes config folder that contains yaml/yml files
- [x] Pod management (list, get, logs, delete)
- [ ] Deployment management (create, list, get, logs, delete)
- [ ] Service management (Create, list, get, logs, delete)
- [ ] Namespaces management (list, get, logs, delete)
- [ ] Debug and Analyze Logs, Services, Seployment, Statefulset, Demonsets, Ingress, Node, Cluster
- [ ] Portforward to a pod or service
- [ ] Helm Chart installation and management
Quickstart
-
Install Claude Desktop
-
Install this MCP server
- Using uv:
uv
Run: uv pip install git+https://github.com/ehiaig/kubernetes-mcp-server
Or
- Clone this repo:
git clone https://github.com/ehiaig/kubernetes-mcp-server.git
- Open the Claude json file
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
And then add the following to your MCP servers file:
For Local testing with Claude Desktop
{
"kubernetes-mcp-server": {
"command": "/path/to/your/.local/bin/uv", // or "uv"
"args": [
"--directory",
"/path/to/this/repo/kubernetes-mcp-server/src/k8s_manager",
"run",
"-m",
"k8s_manager"
]
}
}
Your claude_desktop_config.json
file should look similar to this:
{
"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"
]
}
}
}
For Published Servers
"mcpServers": {
"kubernetes-mcp-server": {
"command": "uvx",
"args": [
"k8s_manager"
]
}
}
🚧 Disclaimers
Sensitive Data
DO NOT CONFIGURE CLUSTERS WITH SENSITIVE DATA. This includes secrets, passwords, etc.
Any sensitive data exchanged with the LLM is inherently compromised, unless the LLM is running 100% on your local machine.
If you are interested in securely passing secrets to CLUSTERS, file an issue on this repository with your use-case.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor

Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.