# xcode-mcp-server (drewster99)

> xcode-mcp-server (drewster99) — drewster99-xcode-mcp-server. Use this tool when you need to automate Xcode interactions and boost productivity for iOS, iPadOS, macOS, visionOS, and tvOS projects. It enables large language models (LLMs) like Claude Code or Cursor to build and debug projects, mirroring human-like functionality and error handling. Ideal for streamlining development workflows and enhancing collaboration between humans and AI assistants in Xcode-based projects.

Canonical page: https://skillsregistry.net/skills/drewster99-xcode-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/drewster99-xcode-mcp-server

## Description

Enable Claude Code, Cursor, or your favorite LLM to interact with Xcode, building your projects the same way you do, and seeing the same errors. Greatly increases productivity when working on iOS, iPadOS, macOS, visionOS, tvOS projects & Swift packages - or any time you might use Xcode.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-07-15

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pu9yd2rhbl)
- **Repository:** <https://github.com/drewster99/drews-xcode-mcp>

## 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": "drewster99-xcode-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/drewster99-xcode-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/drewster99-xcode-mcp-server/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
