This MCP server is an AI-powered containerization assistant that helps users build, scan, and deploy Docker containers through VS Code and other MCP-compatible tools.
From the registry: TypeScript MCP server for AI-powered containerization workflows with Docker and Kubernetes support
Please install the `containerization-assist` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Docker** — Docker or Docker Desktop required. (https://www.docker.com/)
Optional prerequisites:
- Install Trivy (optional) — Trivy is needed for security scanning features. (https://aquasecurity.github.io/trivy/)
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","containerization-assist-mcp","start"]
- optional environment variables:
- `LOG_LEVEL`: Log level. (example: `info`)
- `DOCKER_SOCKET`: Docker socket path. On Windows use //./pipe/docker_engine.
Note: Requires Node.js 20+. AI-powered containerization assistant from Azure.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.LOG_LEVELrequiredSets the logging level for the serverReal-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Validate oh-my-posh configurations and segment snippets against the official schema.
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.