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.
2.5 points
7.6K

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 control
Fully control the lifecycle (start/stop) of iOS simulators and the installation/running of applications
SDK tool integration
Get SDK path/version information and locate the development toolchain
xcrun command encapsulation
Execute standard Xcode workflows such as building, validating, and uploading
Performance analysis tool
Record/analyze application performance data, supporting multiple Instrument templates
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 management
Quickly start a simulator of a specific model and install a test application
Performance analysis
Use Time Profiler to diagnose application performance bottlenecks
Project building
Automatically 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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
6.0K
5 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
10.9K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
12.1K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
7.4K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
7.2K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
9.9K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
16.5K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
49.4K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.0K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
25.8K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
47.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
21.1K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.8K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
34.0K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase