Which integrations are available for this server?

Provides 32 tools for managing Kubernetes resources, deployments, services, and cluster operations through real-time interaction with Kubernetes clusters via kubeconfig

How do I use K8s MCP?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@K8s MCP list all pods in the default namespace" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

K8s MCP

A Kubernetes assistant powered by Model Context Protocol (MCP) and Google Gemini.

Requirements

Python 3.10+
Kubernetes cluster with kubeconfig configured

Related MCP server: Kubernetes MCP Server

Quick Start

Use the Makefile to run different components:

1. MCP Server

Starts the MCP server that communicates with your Kubernetes cluster.

make mcp-server

Requires: Active Kubernetes cluster and configured kubeconfig.

2. CLI Mode

Interactive command-line interface to query your Kubernetes cluster.

make cli

Project Structure

k8s_mcp_server.py    - MCP server implementation
mcp_client.py        - CLI client

Configuration

Ensure your kubeconfig is at ~/.kube/config or set the KUBECONFIG environment variable.

The MCP server exposes 32+ Kubernetes tools for managing resources, deployments, services, and more, including long-running background tasks.

Features

Real-time Kubernetes operations via MCP tools
Interactive chat interface with tool call results
Inline tool call display in messages
Background task execution and asynchronous event streaming
Session persistence

Make Commands

Available make targets (run make <target>):

make help — Show all available commands
make mcp-server — Start the K8s MCP server
make cli — Launch the interactive CLI client
make clean — Remove build artifacts and cache files

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityStale

ResponsivenessNo issues

Resources

GitHub Repository

Need Help?

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