Provides 32 tools for managing Kubernetes resources, deployments, services, and cluster operations through real-time interaction with Kubernetes clusters via kubeconfig
K8s MCP
A Kubernetes assistant powered by Model Context Protocol (MCP) and Google Gemini.
Requirements
Python 3.10+
Kubernetes cluster with kubeconfig configured
Node.js 18+ (for frontend)
Bun (optional, for faster frontend builds)
Quick Start
Use the Makefile to run different components:
1. MCP Server
Starts the MCP server that communicates with your Kubernetes cluster.
Requires: Active Kubernetes cluster and configured kubeconfig.
2. CLI Mode
Interactive command-line interface to query your Kubernetes cluster.
3. Web Application (Backend + Frontend)
Start the backend API server:
Start the frontend in another terminal:
Then open http://localhost:5173 in your browser.
4. All at Once
Start all services in background (development mode):
Project Structure
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.
Features
Real-time Kubernetes operations via MCP tools
Chat interface with tool call results
Inline tool call display in messages
WebSocket streaming for live responses
Automatic WebSocket reconnection
Make Commands
Available make targets (run make <target>):
make help— Show all available commandsmake mcp-server— Start the K8s MCP servermake cli— Launch the interactive CLI clientmake backend— Start the FastAPI backendmake frontend— Start the React frontendmake dev— Start backend and frontend in the background (development mode)make logs— Tail service logsmake stop— Stop all background servicesmake install-deps— Install project dependenciesmake clean— Remove build artifacts and cache files
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
Enables interaction with Kubernetes clusters through 32 specialized tools for managing resources, deployments, and services. Provides both CLI and web interfaces for real-time Kubernetes operations powered by Google Gemini.