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

$ pip install acmshttps://pypi.org/project/acms/$ container system start$ python3 acms/acms.py --port 8765 --host 127.0.0.1Please install the `acms` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Run macOS 26+ on Apple Silicon** — ACMS wraps Apple's `container` CLI, which requires Apple Silicon and macOS 26+ for full functionality. (https://github.com/apple/container)
- **Install Apple Container CLI** — The `container` binary must be installed and available on PATH. (https://github.com/apple/container)
- **Install ACMS from PyPI** — Install the acms package into a venv. Run: `pip install acms` (https://pypi.org/project/acms/)
- **Start Apple container services** — Initialize the Apple container daemon before launching ACMS. Run: `container system start`
- **Start the ACMS HTTP server** — Run ACMS on localhost:8765 — the MCP client connects to it over HTTP. Run: `python3 acms/acms.py --port 8765 --host 127.0.0.1`
Canonical MCP server config (HTTP transport):
- url: `http://localhost:8765/mcp`
Note: Launches as a local HTTP MCP server. Treat as insecure — not intended for remote/public exposure.
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 Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.
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