Xcodebuildmcp
X

Xcodebuildmcp

XcodeBuild MCP is an MCP server that provides Xcode-related tools, used for integrating with AI assistants and other MCP clients, supporting functions such as Xcode project management, Swift package management, simulator control, and application utilities.
2 points
9.7K

What is XcodeBuild MCP?

XcodeBuild MCP is a standardized interface server that transforms the functions of Xcode development tools (such as project building, simulator management, application debugging, etc.) into a toolset that AI assistants can call. Through this service, developers or AI assistants can automatically perform various Xcode operations.

How to use XcodeBuild MCP?

Simply configure the server information in supported MCP clients (such as Cursor, VS Code, etc.) to start using. The system will automatically handle tasks such as discovery, building, testing, and deployment of Xcode projects.

Applicable scenarios

It is particularly suitable for scenarios that require automated Xcode workflows, such as AI-assisted development, continuous integration, and automated testing. Developers can focus on code writing and leave the building and debugging tasks to AI assistants.

Main features

Xcode project management
Automatically discover Xcode projects/workspaces, perform building operations, obtain project information (such as scheme lists, build settings, etc.), and support cleaning build products and incremental building.
Swift package management
Build Swift packages, run test suites, execute package binaries, manage running processes, and clean build products.
Simulator management
List/start/open iOS simulators, install and start applications, capture runtime logs, and support UI automation and screenshots (beta).
Application tools
Extract the Bundle ID from the application package and start the application on the simulator and macOS.
Advantages
Standardize Xcode operation interfaces for easy integration with AI assistants
Support a wide range of Xcode functions, from project building to simulator management
Incremental building support can significantly improve building speed (experimental feature)
Detailed error reports and diagnostic tools help quickly solve problems
Limitations
Only support the macOS system
The UI automation function requires additional installation of the AXe tool
The incremental building function is still in the experimental stage

How to use

Install necessary components
Ensure that Xcode 16+ and Node.js 18+ are installed on the system. If you need the UI automation function, you also need to install the AXe tool.
Configure the MCP client
Add the XcodeBuild MCP server configuration in the MCP client (such as Cursor, VS Code, etc.).
Start using
The client will automatically connect to the server. You can now manage Xcode projects through AI assistants or direct tool calls.

Usage examples

Automatically fix building errors
After the AI assistant detects building errors, it automatically calls the XcodeBuild MCP tool to obtain detailed error information, then tries to fix and rebuild.
Simulator application testing
Install the application on the specified iOS simulator, start the application, and capture runtime logs.
UI automation testing
Control UI elements in the simulator through AI instructions, such as clicking buttons and entering text.

Frequently Asked Questions

Why do I need to install the AXe tool?
How to disable error monitoring (Sentry)?
What are the advantages of incremental building?
Which MCP clients are supported?

Related resources

GitHub repository
Project source code and latest version
npm package
Official npm release package
AXe tool
UI automation dependency tool
MCP protocol
Official documentation of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "XcodeBuildMCP": {
      "command": "npx",
      "args": [
        "-y",
        "xcodebuildmcp@latest"
      ]
    }
  }
}

{
  "mcpServers": {
    "XcodeBuildMCP": {
      "command": "mise",
      "args": [
        "x",
        "npm:xcodebuildmcp@1.7.0",
        "--",
        "xcodebuildmcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "XcodeBuildMCP": {
      "command": "npx",
      "args": [
        "-y",
        "xcodebuildmcp@latest"
      ],
      "env": {
        "INCREMENTAL_BUILDS_ENABLED": "true"
      }        
    }
  }
}

{
  "mcpServers": {
    "XcodeBuildMCP": {
      "command": "npx",
      "args": [
        "-y",
        "xcodebuildmcp@latest"
      ],
      "env": {
        "SENTRY_DISABLED": "true"
      }        
    }
  }
}

{
  "mcpServers": {
    "XcodeBuildMCP": {
      "command": "npx",
      "args": [
        "-y",
        "xcodebuildmcp@latest"
      ],
      "env": {
        "XCODEBUILDMCP_GROUP_IOS_SIMULATOR_WORKFLOW": "true"
      }        
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.7K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.3K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
16.2K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
7.4K
4 points
P
Paperbanana
Python
9.2K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.5K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.1K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
9.8K
5 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
37.5K
5 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
27.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
77.7K
4.3 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
23.8K
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#
36.7K
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
68.2K
4.5 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
23.0K
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
54.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase