apple-mcp

🥇Gold

The apple-mcp is a versatile collection of Apple-native tools designed to enhance the model context protocol. Ideal for developers looking to integrate Apple technologies with AI models, it streamlines workflows and boosts productivity.

3,0282490Updated Today

Intermediate15 minutes to implementdevelopment

Saves ~75 min per use

Quick InstallView Source

claude install supermemoryai/apple-mcp

Works with:

GitHub CopilotVS Code

Overview

About This Skill

https://github.com/supermemoryai/apple-mcp

How to Use

["1. **Identify Requirements**: Clearly define the AI model and Apple technology you want to integrate. Specify the features and performance metrics you aim to achieve.","2. **Setup Environment**: Install the necessary tools like Xcode and coremltools. Ensure your development environment is ready for integration.","3. **Convert Model**: Use the coremltools library to convert your AI model to a format compatible with Apple's Core ML.","4. **Integrate and Optimize**: Import the converted model into your Xcode project and optimize it for performance using Metal Performance Shaders (MPS).","5. **Test and Validate**: Run the app on a simulator or physical device to ensure the integration works as expected and meets your performance metrics."]

Use Cases

Automate sending scheduled messages to contacts without manual input.

Quickly search and retrieve specific notes or ideas from your digital note repository.

Effortlessly manage your calendar by creating and listing events with simple voice commands.

Streamline email management by sending messages with attachments and scheduling them for later.

Best For

GrowthRevOps

Setup & Installation

Quick Install

Terminal

claude install supermemoryai/apple-mcp

Alternative Install (Git Clone)

git clone https://github.com/supermemoryai/apple-mcp

Requirements

Claude Code or compatible AI agent
Works with: GitHub Copilot, VS Code

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Using apple-mcp, integrate [AI_MODEL] with [APPLE_TECHNOLOGY] to create a seamless workflow. Ensure the integration supports [SPECIFIC_FEATURES] and optimize for [PERFORMANCE_METRICS]. Provide a step-by-step guide and code snippets for implementation.

Example Output

To integrate the AI model 'NeuralNet' with Apple's Core ML for seamless workflow, follow these steps:

1. **Setup Environment**: Ensure you have Xcode 13 or later installed. Initialize a new project and add the Core ML framework.

2. **Model Conversion**: Convert the NeuralNet model to Core ML format using the coremltools library. This involves running a Python script to transform the model.

3. **Integration**: Import the converted model into your Xcode project. Use the following code snippet to load the model:

```swift
import CoreML

let model = try NeuralNet(configuration: MLModelConfiguration())
```

4. **Optimization**: Optimize the model for performance by adjusting the batch size and using Metal Performance Shaders (MPS) for faster inference.

5. **Testing**: Test the integration by running the app on a simulator or a physical device. Ensure the model performs as expected and meets the specified performance metrics.