vllm-mlx
About this skill
High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/vllm-mlx && curl -fsSL https://workflowstacks.com/api/skills/vllm-mlx/claude-skill -o ~/.claude/skills/vllm-mlx/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Vllm-mlx is a very large Python project (~72k lines across 159 code files, plus 159 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2vllm_mlx/cli.pyWhere the program starts running
- 3pyproject.tomlDependencies and the commands it exposes
- 4vllm_mlx/__init__.pyInside vllm_mlx/ — the main logic begins here
- 5examples/assistant_bank_en.wavA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/vllm-mlx && curl -fsSL https://workflowstacks.com/api/skills/vllm-mlx/claude-skill -o ~/.claude/skills/vllm-mlx/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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