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vmlx MCP Server

jjang-ai/vmlx

Score: 83.3 ↓ 1.1% Rank #1255 MCP Server
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vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm

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Overview

jjang-ai/vmlx is a Python tool licensed under Apache-2.0. vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm Topics: llm, lmstudio, macbook, mlx, mlxllm, mlxstudio, anthropic-api, kvcache-compression, kvcache-optimization, kvcache-reuse, mcp-server, openai-api, openclaw, openclaw-agent, persistent-memory, prefix-cache, vmlx, omlx, omlx-alternative.

Ranked #1255 out of 24842 indexed tools.

In the top 6% of all indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python Apache-2.0 791 pypi/wk
llmlmstudiomacbookmlxmlxllmmlxstudioanthropic-apikvcache-compressionkvcache-optimizationkvcache-reusemcp-serveropenai-apiopenclawopenclaw-agentpersistent-memoryprefix-cachevmlxomlxomlx-alternative

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 888

888 stars → growing community

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 69%

133/192 issues closed → decent issue management

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 791/wk

791 weekly installs → early adoption

Forks 96
Description Good
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

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From the README

<p align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/jjang-ai/vmlx/main/assets/logo-wide-dark.png">
    <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/jjang-ai/vmlx/main/assets/logo-wide-light.png">
    
  </picture>
</p>

<h3 align="center">MLX Inference Server for Apple Silicon</h3>

<p align="center">
  Self-hosted inference server for LLMs, VLMs, and image generation on Apple Silicon.<br>
  OpenAI + Anthropic + Ollama compatible HTTP API. Self-hosted; no third-party API keys required.<br>
  Native MTP artifact detection and family-specific cache policy gates keep speculative/cache settings explicit and model-safe.
</p>

<p align="center">
  <em>Looking for a native Swift macOS app or Swift inference engine? See <a href="https://osaurus.ai">osaurus.ai</a>.</em>
</p>

<p align="center">
  <a href="https://pypi.org/project/vmlx/"></a>
  <a href="https://github.com/jjang-ai/vml
Read full README on GitHub →

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