Skip to main content
Glama
gattjoe

ACMS (Apple Container MCP Server)

by gattjoe

ACMS (Apple Container MCP Server)

Downloads PyPI Version Python version

ACMS is a Model Context Protocol (MCP) server that provides programmatic access to Apple's container CLI tool on macOS. ACMS can be run locally or accessed remotely via HTTP/S.

The point of ACMS is to bring attention to the Containerization package and Container cli efforts. Inspiration for ACMS came from coderunner.

Prerequisites

  • Mac with Apple Silicon

  • macOS 26+ - It can run on Sequoia with limitations.

  • Xcode 26 - required to compile containerization

  • Apple Containerization Framework - (required for container functionality)

  • Apple Container Cli - installed and in PATH

Related MCP server: Container Exec MCP Server

Quick Start

Install

Either clone the repository or pip install acms in a venv.

Start Apple Container Services


container system start

Start ACMS Server

# Recommended: Use the startup script
./start-acms.sh

# Or start directly with custom options
python3 acms/acms.py --port 8765 --host 127.0.0.1 > acms.log 2>&1 &

Configure MCP Client

Add to your MCP client configuration:

claude mcp add --transport http acms http://localhost:8765/mcp

Usage Examples

"acms create an ubuntu x64 container ..."

Testing

ACMS includes comprehensive end-to-end testing, just tell Claude to run the "ACMS CLAUDE TEST GUIDE".

Security Considerations

This is not secure, especially if you run it on a remote Mac OS endpoint on your home net. Also, you can lose your data when Claude tries to be helpful.

footgun

mcp-name: io.github.gattjoe/ACMS

Maintenance

ActivityInactive
ResponsivenessNo issues

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    F
    maintenance
    Enables secure execution of shell commands and file operations within isolated Docker containers. Provides process management, interactive input handling, and comprehensive file system operations for containerized development environments.
    64
    6
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    Allows AI assistants to manage Docker containers, Linux virtual machines, and Kubernetes clusters through OrbStack on macOS. It provides tools for system status, machine life cycle management, and container operations via CLI command encapsulation.
    29
    2
    -
  • A
    license
    A
    quality
    D
    maintenance
    Provides a local, isolated Linux VM sandbox for AI agents using Apple's Virtualization.framework, enabling fast command execution (~60ms) and package management without cloud costs.
    35
    1
    MIT