vllm-mlx

Level AMCP ecosystemNot an MCP ServerSource

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.

Overview

vllm-mlx is a high-performance inference server for Apple Silicon, built on native MLX and Metal and exposing both OpenAI- and Anthropic-compatible APIs from a single process. It offers continuous batching, paged KV cache, prefix caching, and SSD-tiered cache, and runs text, image, video, audio, and embedding models, with MCP tool calling, structured output, and reasoning extraction.

⭐ 1.6kAI GenerationPythonRepo ↗Updated 2026-10-26

Installation

View source repo →

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