Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.
Rapid MLX is an MCP server published by raullenchai in the Agents category: rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.
The repository has 4.0K stars and 432 forks, with the last commit 8 days ago. Recent commit activity is the strongest signal that reported issues will get attention.
This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Releases
v0.16.0v0.16.0 · 9 Oct 2026What's new in v0.16.0 Rapid-MLX 0.16.0 expands packaged multimodal and local decision workflows, adds guarded accelerated model profiles, and improves long-running server, agent, cache, and Desktop reliability. Performance varies by model,…
rapid-mac-v0.16.0rapid-mac-v0.16.0 · 9 Oct 2026[0.16.0] — 2026-10-09 Rapid-MLX 0.16.0 expands packaged multimodal and typed-decision workflows and improves model management, agent sessions, shared-prefix handling, and release reliability. Added The base package includes supported…
v0.15.7v0.15.7 · 7 Oct 2026What's new in v0.15.7 Rapid-MLX 0.15.7 adds native text and code embeddings, improves local agent setup, and strengthens Desktop and inference reliability. Highlights EmbeddingGemma 2 text/code embeddings**: serve normalized…
rapid-mac-v0.15.7rapid-mac-v0.15.7 · 7 Oct 2026[0.15.7] — 2026-10-07 Rapid-MLX 0.15.7 adds native text and code embeddings, improves local agent setup, and strengthens Desktop and inference reliability. Highlights EmbeddingGemma 2 text/code embeddings**: serve normalized…
v0.15.6v0.15.6 · 4 Oct 2026What's new in v0.15.6 Rapid-MLX 0.15.6 makes the first local-model session easier to start and long-running servers more predictable. It adds an interactive command-line front door, keeps prompt compression explicit, and strengthens model…
No package has been published for this server, so install it from source: clone the repository and follow its README.
Is Rapid MLX safe to use with an AI agent?
Its trust score is 64 out of 100 (good). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.
Is Rapid MLX still maintained?
Yes — the latest release is v0.16.0 (9 Oct 2026), and the last commit was 8 days ago. The repository has 4.0K stars.