Kai
Kai provides a bridge between large language models (LLMs) and your Kubernetes clusters, enabling natural language interaction with Kubernetes resources. The server exposes a comprehensive set of tools for managing clusters, namespaces, pods, deployments, services, and other Kubernetes resources
Kai - Kubernetes MCP Server
A Model Context Protocol (MCP) server for managing Kubernetes clusters through LLM clients like Claude and Ollama.
Overview
Kai provides a bridge between large language models (LLMs) and your Kubernetes clusters, enabling natural language interaction with Kubernetes resources. The server exposes a comprehensive set of tools for managing clusters, namespaces, pods, deployments, services, and other Kubernetes resources.
Features
Core Workloads
- Pods - Create, list, get, delete, and stream logs
- Deployments - Create, list, describe, and update
- Jobs - Batch workload management (create, get, list, delete)
- CronJobs - Scheduled batch workloads (create, get, list, delete)
Networking
- Services - Create, get, list, and delete
- Ingress - HTTP/HTTPS routing, TLS configuration (create, get, list, update, delete)
Configuration
- ConfigMaps - Configuration management (create, get, list, update, delete)
- Secrets - Secret management (create, get, list, update, delete)
- Namespaces - Namespace management (create, get, list, delete)
Cluster Operations
- Context Management - Switch contexts, list contexts, rename, delete
- Nodes - Node monitoring, cordoning, and draining
- Cluster Health - Cluster status and resource metrics
Storage
- Persistent Volumes - PV and PVC management
- Storage Classes - Storage class operations
Security
- RBAC - Roles, RoleBindings, and ServiceAccounts
Utilities
- Port Forwarding - Forward ports to pods and services (start, stop, list sessions)
Advanced
- Custom Resources - CRD and custom resource operations
- Events - Event streaming and filtering
- API Discovery - API resource exploration
Requirements
The server connects to your current kubectl context by default. Ensure you have access to a Kubernetes cluster configured for kubectl (e.g., minikube, Rancher Desktop, kind, EKS, GKE, AKS).
Installation
go install github.com/basebandit/kai/cmd/kai@latest
CLI Options
kai [options]
Options:
-kubeconfig string Path to kubeconfig file (default "~/.kube/config")
-context string Name for the loaded context (default "local")
-transport string Transport mode: stdio (default) or sse
-sse-addr string Address for SSE server (default ":8080")
-log-format string Log format: json (default) or text
-log-level string Log level: debug, info, warn, error (default "info")
-version Show version information
Logs are written to stderr in structured JSON format by default, making them easy to parse:
{"time":"2024-01-15T10:30:00Z","level":"INFO","msg":"kubeconfig loaded","path":"/home/user/.kube/config","context":"local"}
{"time":"2024-01-15T10:30:00Z","level":"INFO","msg":"starting server","transport":"stdio"}
Configuration
Claude Desktop
Edit your Claude Desktop configuration:
# macOS
code ~/Library/Application\ Support/Claude/claude_desktop_config.json
# Linux
code ~/.config/Claude/claude_desktop_config.json
Add the server configuration:
{
"mcpServers": {
"kubernetes": {
"command": "/path/to/kai"
}
}
}
With custom kubeconfig:
{
"mcpServers": {
"kubernetes": {
"command": "/path/to/kai",
"args": ["-kubeconfig", "/path/to/custom/kubeconfig"]
}
}
}
Cursor
Add to your Cursor MCP settings:
{
"mcpServers": {
"kubernetes": {
"command": "/path/to/kai"
}
}
}
Continue
Add to your Continue configuration (~/.continue/config.json):
{
"experimental": {
"modelContextProtocolServers": [
{
"transport": {
"type": "stdio",
"command": "/path/to/kai"
}
}
]
}
}
SSE Mode (Web Clients)
For web-based clients or custom integrations, run in SSE mode:
kai -transport=sse -sse-addr=:8080
Then connect to http://localhost:8080/sse.
Custom Kubeconfig
By default, Kai uses ~/.kube/config. You can specify a different kubeconfig:
kai -kubeconfig=/path/to/custom/kubeconfig -context=my-cluster
Usage Examples
Once configured, you can interact with your cluster using natural language:
- "List all pods in the default namespace"
- "Create a deployment named nginx with 3 replicas using the nginx:latest image"
- "Show me the logs for pod my-app"
- "Delete the service named backend"
- "Create a cronjob that runs every 5 minutes"
- "Create an ingress for my-app with TLS enabled"
- "Port forward service nginx on port 8080:80"
Contributing
Contributions are welcome! Please see our contributing guidelines for more information.
License
This project is licensed under the MIT License.

Máy chủ liên quan
Alpha Vantage MCP Server
nhà tài trợAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Elementor WordPress MCP Server
An MCP server for WordPress and Elementor, enabling AI assistants to manage content and build pages.
Ollama
Integrates with Ollama to run local large language models. Requires a running Ollama instance.
pabal-resource-mcp
MCP server for ASO ↔ Web SEO data conversion.
MCP Jenkins Intelligence
AI-powered Jenkins pipeline intelligence platform with natural language interface. Provides comprehensive pipeline analysis, failure prediction, optimization suggestions, and automated Jenkinsfile reconstruction using Model Context Protocol (MCP) integration.
NeoCoder
Enables AI assistants to use a Neo4j knowledge graph for standardized coding workflows, acting as a dynamic instruction manual and project memory.
AgentOps MCP
An MCP server for AgentOps, providing observability and evaluation tools for AI agents.
Commands
An MCP server to run arbitrary commands on the local machine.
Jupyter Earth MCP Server
Provides tools for geospatial analysis within Jupyter notebooks.
Remote MCP Server Chatbot
A demonstration of deploying a remote MCP server on Cloudflare Workers without authentication.
Blender MCP Senpai
An AI-assisted mentor for Blender that detects topology issues and offers real-time improvement suggestions.