Docker Container Environment
Enables AI assistants to execute shell commands and perform file operations within isolated Docker containers.
About
This Model Context Protocol (MCP) server acts as a bridge, allowing AI agents to interact securely with a containerized environment. It facilitates agentic coding capabilities by providing a sandboxed space for executing commands, managing processes, and manipulating files, enhancing the AI's ability to develop, test, and debug code within a controlled setting. The server connects MCP clients (like Claude Code) to a Debian-based Docker container, with host file system mounting for persistence.
Key Features
- Comprehensive file operations (read, write, edit, search)
- Interactive input for running background processes
- 3 GitHub stars
- Easy integration with MCP clients like Claude Desktop
- Intelligent process management with unique IDs and smart timeouts
- Secure command execution in isolated Docker containers
Use Cases
- Enabling AI to develop and test software in an isolated container environment
- Allowing AI to debug code and manage project files within a controlled Docker instance
- Providing agentic coding capabilities to AI assistants