by jjang-ai · MCP Server · ★ 897
MLX Inference Server for Apple Silicon Self-hosted inference server for LLMs, VLMs, and image generation on Apple Silicon. OpenAI + Anthropic + Ollama compatible HTTP API. Self-hosted; no third-party API keys required. Looking for a native Swift macOS app or Swift inference engine? See osaurus.ai. <img src="https://img.shields.i
| Stars | 897 |
| Forks | 96 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 56.01/100 |
| Open Issues | 66 |
| Last Updated | 2026-10-19 |
| Created | 2026-02-18 |
| Platforms | mcp, python |
| Est. Tokens | ~11468k |
These tools work well together with vmlx for enhanced workflows:
Explore other popular mcp server tools:
vmlx is vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm. It is categorized as a MCP Server with 897 GitHub stars.
vmlx is primarily written in Python. It covers topics such as anthropic-api, kvcache-compression, kvcache-optimization.
You can find installation instructions and usage details in the vmlx GitHub repository at github.com/jjang-ai/vmlx. The project has 897 stars and 96 forks, indicating an active community.
vmlx is released under the Apache-2.0 license, making it free to use and modify according to the license terms.