How to Analyze Hugging Face for Arm64 Readiness

A practical walkthrough showing how to use Docker MCP Toolkit combined with the Arm MCP Server, GitHub MCP, Hugging Face MCP, and Sequential Thinking to scan Hugging Face Docker Spaces for Arm64 compatibility issues. Using ACE-Step v1.5 (a 3.5B parameter music generation model) as a real-world example, the guide demonstrates a 7-tool MCP chain that identifies two blockers in 15 minutes: a hardcoded linux_x86_64 flash-attn wheel URL in requirements.txt and a missing triton aarch64 wheel. The fix requires only one line added to requirements.txt, unlocking deployment on AWS Graviton, Apple Silicon, and NVIDIA Jetson hardware. The post estimates ~80% of Hugging Face Docker Spaces have never been tested on Arm64, leaving significant cost savings and deployment targets unreachable.