This MCP server provides Docker management tools for AI agents, enabling inspection of containers, images, Dockerfiles, and Compose configurations through the Model Context Protocol.
From the registry: Docker container management and Dockerfile analysis
$ git clone https://github.com/rog0x/mcp-docker-tools.git && cd mcp-docker-tools && npm install && npm run buildPlease install the `docker-rog0x` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Node.js 18+** — Node.js version 18 or higher. (https://nodejs.org)
- **Docker CLI** — Docker CLI installed and accessible in PATH, with daemon running.
- **Clone and build** — Clone the repository and build it locally (no npm package published). Run: `git clone https://github.com/rog0x/mcp-docker-tools.git && cd mcp-docker-tools && npm install && npm run build`
Canonical MCP server config (stdio transport):
- command: `node`
- args: ["/absolute/path/to/mcp-docker-tools/dist/index.js"]
Note: No published npm package; must clone and build, then point Node at the built dist/index.js.
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.Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
Validate oh-my-posh configurations and segment snippets against the official schema.