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.
Run various AI models on your Apple computer to process text and images efficiently.
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Free · no card · unsubscribe anytimeHigh-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.
vllm-mlx has 1.6k stars on GitHub. It has been forked 219 times. vllm-mlx is written mainly in Python. It has been in active development since 2025. vllm-mlx is available under the Apache-2.0 license. Its main topics are anthropic, anthropic-api, apple-silicon, claude-code.
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.
vllm-mlx is an open-source project. It is released under the Apache-2.0 license.
Yes. vllm-mlx is free and open source — you can use, modify and self-host it.
vllm-mlx is available under the Apache-2.0 license.
vllm-mlx is written mainly in Python.
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