Docker Integration MCP Servers
Docker MCP servers provide interfaces for LLMs to interact with Docker containers and services. These servers enable AI models to manage containers, handle image operations, and assist with Docker infrastructure tasks.
{
"mcpServers": {
"mcp-server-docker": {
"command": "uvx",
"args": [
"mcp-server-docker"
],
"env": {
"DOCKER_HOST": "ssh://[email protected]"
}
}
}
}
Overview
The MCP Docker Server enables AI models to interact directly with Docker through the Model Context Protocol (MCP). It provides a standardized interface for container operations, allowing AI to assist with container management, image handling, and Docker infrastructure tasks. 1
Sensitive Data:
DO NOT CONFIGURE CONTAINERS WITH SENSITIVE DATA.
This includes API keys, database passwords, etc.
Any sensitive data exchanged with the LLM is inherently compromised, unless the LLM is running on your local machine.
Key features include:
- Container management (create, start, stop, remove)
- Image operations (build, pull, push)
- Volume management
- Network configuration
- Docker Compose support
- Resource monitoring
- Log management
Tools
Containers
Images
Networks
Volumes
Sources
Footnotes
Related Articles
Spring Application Advisor and MCP
Spring Application Advisor and MCP
Accessibility Scanner and MCP
This section explores how accessibility scanning tools can leverage the Model Context Protocol (MCP) to enhance their capabilities and integration with development workflows.
MCP Architecture Overview
MCP (Model Context Protocol) features a distributed architecture enabling AI applications to communicate seamlessly with multiple data sources and tools through standardized interfaces.