Mcpxcode

MCPXcode is an open - source project that implements the Model Context Protocol (MCP) specification, providing a structured protocol between Xcode and AI assistants for context exchange and tool execution.

Developer tools Artificial intelligence chatbots #Xcode tool #AI integration #Development automation .Python

rating : 2.5 points

downloads : 16

update time : 2025-04-28

What is MCPXcode?

MCPXcode is an open - source tool based on the Model Context Protocol (MCP), which builds a bridge between the Xcode development environment and AI assistants. It enables context exchange and tool execution through a standardized protocol, allowing AI to understand Xcode projects and perform development - related operations.

How to use MCPXcode?

After installation, configure the MCP server connection. Then, the AI assistant can operate Xcode projects through natural language instructions, such as building applications, managing simulators, or analyzing performance data.

Applicable scenarios

Suitable for iOS/macOS development scenarios that require AI assistance: automating repetitive tasks, performance analysis, rapid prototyping, etc.

Main features

Simulator controlFully control the lifecycle (start/stop) of iOS simulators and the installation/running of applications

SDK tool integrationGet SDK path/version information and locate the development toolchain

xcrun command encapsulationExecute standard Xcode workflows such as building, validating, and uploading

Performance analysis toolRecord/analyze application performance data, supporting multiple Instrument templates

Advantages and limitations

Advantages

Natural language interaction lowers the threshold for using development tools

Automate repetitive development tasks

Structured output facilitates AI understanding and analysis

Open - source project allows for free feature expansion

Limitations

Requires Python environment configuration

Some advanced features are still under development

Requires support from Xcode command - line tools

How to use

Installation preparation

Ensure that Python and Xcode command - line tools are installed on the system

Clone the repository

Get the latest version of the source code

Environment configuration

Create a virtual environment and install dependencies

Server configuration

Add MCP server information to the AI assistant configuration file

Usage examples

Simulator managementQuickly start a simulator of a specific model and install a test application

Performance analysisUse Time Profiler to diagnose application performance bottlenecks

Project buildingAutomatically build the Debug version of a specific scheme

Frequently Asked Questions

What system versions are required?

How to view the list of available commands?

Does it support real devices?

Related resources

MCP protocol official website

Understand the Model Context Protocol specification

GitHub repository

Get the source code and the latest version

Issue feedback

Submit usage issues and feature requests

🚀 MCPX Project Documentation

MCPX is an open - source project that integrates the Model Context Protocol (MCP) into Xcode, enabling seamless interaction with AI assistants. It aims to provide extended features for Xcode, facilitating developers' collaboration with AI tools.

🚀 Quick Start

MCPX is an open - source initiative focused on integrating the Model Context Protocol (MCP) into Xcode. This integration enables seamless interaction with AI assistants, offering developers enhanced capabilities within the Xcode environment.

📦 Installation

To use MCPX, follow these installation steps:

Clone the repository:

git clone https://github.com/your-username/mcpx.git
cd mcpx

Install dependencies: Ensure you have Xcode and Command Line Tools installed. Then, run the following command to install project dependencies:
```
make install-deps
```
Start the service: After installation, start the MCPX service with the following command:
```
make start
```

Configuration example Here is a simple configuration example:

{
  "context-path": "/path/to/context",
  "tools": ["xcrun", "xctrace"],
  "ai-integrations": ["assistant", "chatgpt"]
}

✨ Features

MCP Core Implementation (Phase 1)

Basic project structure: Implemented
Basic xcrun extension: Extended xcrun commands supporting context processing
Basic xctrace support: xctrace functionality with context processing

MCP Server Implementation (Phase 2)

HTTP service: An HTTP server fully compliant with the MCP specification
Context authentication: A security authentication mechanism based on context
Structured context exchange: A standardized context interaction protocol
Tool registration: A scalable tool registration architecture

macOS Accessibility Extension (Phase 3)

Accessibility integration: Integrate MCP into macOS accessibility features
Context - aware UI automation: Implement context - based Xcode UI automation
Semantic event monitoring: Support context - related event monitoring and reaction mechanisms

Advanced MCP Features (Phase 4)

Python client library: Develop a Python client compliant with the MCP standard
Context - aware CI/CD: Integrate with AI - driven CI/CD tools
Semantic context monitoring: Build a semantic context dashboard for monitoring and analysis