MCP Xcode Diagnostics
Xcode Build Log Diagnostic MCP Plugin
rating : 2.5 points
downloads : 6.9K
What is the Xcode Diagnostic MCP Plugin?
The Xcode Diagnostic MCP Plugin is a tool used to extract and display errors and warnings in Xcode build logs. It can help developers quickly locate and solve problems, improving development efficiency.How to use the Xcode Diagnostic MCP Plugin?
By installing the plugin and connecting to Xcode, you can easily obtain diagnostic information for your project. You can start using it with just a few simple steps.Applicable Scenarios
Suitable for developers who need to quickly analyze Xcode build logs, especially when dealing with complex projects.Main Features
List all Xcode projects
Automatically detect and list all Xcode projects with build logs.
Extract errors and warnings
Extract detailed error and warning information from the latest build log.
Parse complex diagnostics
Support parsing complex diagnostic information, including additional comments and repair suggestions.
Display detailed information
Provide detailed information such as file paths, line numbers, and error messages.
Optimize Swift concurrency warnings
Optimize warnings specifically related to Swift concurrency.
Advantages
Quickly locate build issues
Support multiple diagnostic types
Optimize Swift concurrency warnings
Provide detailed error and warning information
Limitations
Only support built projects
Some advanced diagnostics may not be fully parsed
Very large logs may be truncated
How to Use
Install the plugin
Install the plugin using pip, for example: `pip install mcp-xcode-diagnostics`.
Run the plugin
Connect to Xcode and run the plugin to extract diagnostic information.
View diagnostic results
View detailed error and warning information in the plugin output.
Usage Examples
Example 1: List all projects
List all Xcode projects with build logs.
Example 2: Get project diagnostics
Get detailed diagnostic information for a specific project.
Frequently Asked Questions
How to install the plugin?
What diagnostic types does the plugin support?
How to view detailed diagnostic information?
Related Resources
Official Documentation
Detailed installation and usage guide.
GitHub Repository
Source code and contribution guide.
Technical Support
Contact technical support.

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
17.7K
4.3 points

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
26.7K
5 points

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
17.0K
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
51.6K
4.3 points

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#
22.2K
5 points

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
49.9K
4.5 points

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
16.7K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
71.5K
4.7 points

