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Rapid-MLX
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.
mcp
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At a glance.
A compact read before the deeper capability notes and official setup links.
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Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
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
Topics: anthropic-api, apple-silicon, claude-code, coding-agents, continuous-batching
GitHub stars: 3907
Last pushed: 2026-10-06
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Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
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Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
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Evidence and adoption notes.
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Source repository last pushed at 2026-10-06T00:31:35Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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