# Xcodebuild

> Use this tool when you need to automate building and testing of iOS Xcode projects, streamlining your development workflow and error handling in AI-assisted coding environments. It takes Xcode project files as input and outputs build results and test errors, integrating seamlessly with Visual Studio Code extensions. Ideal for efficient iOS development, automated testing, and error reporting in AI-powered coding tools.

Canonical page: https://skillsregistry.net/skills/shenghaiwan-xcodebuild  
JSON: https://api.skillsregistry.net/v1/skills/shenghaiwan-xcodebuild

## Description

This MCP server implementation provides tools for building and testing iOS Xcode projects. Developed by Tim Wang, it offers capabilities to build iOS Xcode workspaces/projects and run tests, sending errors back to the LLM. The server is designed for seamless integration with Visual Studio Code extensions like Cline or Roo Code, enabling efficient iOS development workflows and automated error handling in AI-assisted coding environments.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shenghaiwan-xcodebuild)
- **Repository:** <https://github.com/shenghaiwang/xcodebuild>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shenghaiwan-xcodebuild"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shenghaiwan-xcodebuild` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shenghaiwan-xcodebuild/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt