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Run Local Tool Calling Agent Inference With Rapid Mlx

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Serve OpenAI- and Anthropic-compatible local LLM endpoints on Apple Silicon so coding agents can run tool-calling workflows against on-device models.

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  • Added October 1, 2026
ai-agentsgogitapisecuritydocumentation

Works with

  • claude code
  • cursor
  • cli
  • api

Security analysis

A100/100

Scanned October 1, 2026

npx -y skills add agentskillexchange/skills --skill run-local-tool-calling-agent-inference-with-rapid-mlx --agent claude-code

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SKILL.md
---
name: "Run local tool-calling agent inference with Rapid-MLX"
slug: "run-local-tool-calling-agent-inference-with-rapid-mlx"
description: "Serve OpenAI- and Anthropic-compatible local LLM endpoints on Apple Silicon so coding agents can run tool-calling workflows against on-device models."
github_stars: 3860
verification: "security_reviewed"
source: "https://github.com/raullenchai/Rapid-MLX"
author: "raullenchai"
publisher_type: "individual"
category: "Developer Tools"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "raullenchai/Rapid-MLX"
  github_stars: 3860
---

# Run local tool-calling agent inference with Rapid-MLX

Serve OpenAI- and Anthropic-compatible local LLM endpoints on Apple Silicon so coding agents can run tool-calling workflows against on-device models.

## Prerequisites

Apple Silicon Mac, Rapid-MLX, MLX-compatible model, OpenAI- or Anthropic-compatible agent client such as Codex CLI, Claude Code, Aider, Cursor, or Continue.dev

## Installation

Install or set up from the source-backed instructions:

Install Rapid-MLX using the documented installer or package path, start the server with rapid-mlx serve, confirm the OpenAI-compatible endpoint at localhost:8000/v1, then configure the target agent client to use that local base URL and model alias.

- Source: https://github.com/raullenchai/Rapid-MLX

## Documentation

- https://rapidmlx.com/docs/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/run-local-tool-calling-agent-inference-with-rapid-mlx/)

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