Overview
The Docker MCP Toolkit with Kubernetes MCP Server provides a powerful yet simple way to manage Kubernetes clusters directly from Docker Desktop environments. In just 5 minutes, you can access 40 specialized tools covering everything from basic resource management to advanced operations like Helm chart deployments and port forwarding.
Features
Container Management
- List and inspect containers
- Start, stop, and restart containers
- View container logs
- Execute commands in containers
- Manage container lifecycle
Image Operations
- Pull and push images
- Build images from Dockerfiles
- Tag and remove images
- Inspect image details
- Manage image layers
Kubernetes Integration
- Resource management (pods, deployments, services)
- Namespace operations
- ConfigMap and Secret handling
- Service exposure and ingress
- Scaling and updates
Advanced Operations
- Helm Charts: Deploy and manage Helm releases
- Port Forwarding: Forward ports to local machine
- Resource Monitoring: Check cluster health and metrics
- Log Aggregation: Collect logs from multiple pods
Docker Desktop Integration
Quick Setup
- Works with Docker Desktop's built-in Kubernetes
- No complex configuration required
- 5-minute setup time
- Automatic cluster detection
- Docker Desktop for Mac
- Docker Desktop for Windows
- Docker Desktop for Linux
Use Cases
Local Development
- Spin up development environments quickly
- Test Kubernetes deployments locally
- Debug containerized applications
- Manage microservices architectures
Container Operations
- Build and test Docker images
- Manage multi-container applications
- Handle container networking
- Monitor resource usage
Kubernetes Management
- Deploy applications to local Kubernetes
- Test Helm charts before production
- Debug pod issues
- Manage cluster resources
DevOps Workflows
- Automate deployment tasks
- Test CI/CD pipelines locally
- Validate infrastructure as code
- Troubleshoot cluster issues
- Pods, deployments, services
- ReplicaSets and StatefulSets
- DaemonSets and Jobs
- Helm deployments
- Port forwarding
- Resource scaling
- Rolling updates
- Logs and events
- Resource metrics
- Health checks
- Troubleshooting utilities
- ConfigMaps and Secrets
- Persistent volumes
- Network policies
- RBAC management
Integration
Works with AI assistants supporting MCP. Requires Docker Desktop with Kubernetes enabled. Compatible with local Kubernetes clusters.
Pricing
Free with Docker Desktop Personal. Docker Desktop Business pricing applies for commercial use.
