Xcodebuildmcp

Community

viralcode

xcodebuildmcp

Use when the user needs Xcode build/test/run workflows, simulator or device control, UI automation, screenshots/video, logs, or LLDB debugging through XcodeBuildMCP tools. Includes discovery of projects/schemes, session defaults, and common simulator/device workflows.

Overview

Publisher	viralcode
Repository	`openwhale`
Skill name	`xcodebuildmcp`
Stars	65
Forks	11
Bundled files	3
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by viralcode on GitHub. Read the source before you install it.

Installation

Install the Xcodebuildmcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/viralcode/openwhale.git /tmp/openwhale
mkdir -p .claude/skills
cp -r /tmp/openwhale/skills/xcodebuildmcp .claude/skills/xcodebuildmcp

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xcodebuildmcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Xcodebuildmcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Xcodebuildmcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Xcodebuildmcp

Overview

Use the xcodebuildmcp toolset to build/run/test apps, manage simulators/devices, automate UI, and capture logs/screen media. Default to a safe, repeatable flow: discover → set defaults → execute → verify.

Prereqs & MCP Setup

This skill assumes the XcodeBuildMCP server is installed and exposed to your MCP client so the tools appear (e.g., mcp__xcodebuildmcp__build_run_sim). If the tools are missing, follow the setup steps in:

references/mcp-setup.md (requirements + MCP client config examples)

Example Requests

"Build and run the iOS app on the latest simulator and take a screenshot."
"Run unit tests on the simulator and share the failing test logs."
"Open the simulator, navigate to Settings, and toggle Dark Mode."
"Install and launch the app on my connected iPhone."

Quick Start (common flow)

Discover the project/workspace and schemes:
- mcp__xcodebuildmcp__discover_projs
- mcp__xcodebuildmcp__list_schemes
Set session defaults (so subsequent tools don’t need repeated params):
- mcp__xcodebuildmcp__session-set-defaults (workspacePath/projectPath, scheme, simulatorId/deviceId)
Run the task:
- Build/run: mcp__xcodebuildmcp__build_run_sim or mcp__xcodebuildmcp__build_run_macos
- Tests: mcp__xcodebuildmcp__test_sim / mcp__xcodebuildmcp__test_macos / mcp__xcodebuildmcp__test_device
Verify and gather evidence:
- mcp__xcodebuildmcp__screenshot (sim)
- mcp__xcodebuildmcp__start_sim_log_cap → mcp__xcodebuildmcp__stop_sim_log_cap

Task Index

Build/Run: iOS simulator, macOS, device installs
Testing: simulator/macOS/device
Simulator management: list/boot/erase/appearance/location/gestures
UI automation: describe UI → tap/type/swipe/gesture
Logs & debugging: sim logs, device logs, LLDB attach/breakpoints
Media: screenshots, screen recording

Load references/workflows.md for detailed step-by-step sequences and command patterns.

Operating Rules

Always call mcp__xcodebuildmcp__describe_ui before coordinate-based taps/swipes/long-press.
Prefer mcp__xcodebuildmcp__session-set-defaults early to reduce parameter noise.
If user didn’t specify target device/simulator, list options and ask (or pick a sensible default with useLatestOS).
Avoid destructive actions (erase sims, clean) unless the user asked for them.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Xcodebuildmcp AI skill do?

Why use Xcodebuildmcp on TypingMind?

Because you install it once and use it with any model. Xcodebuildmcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Xcodebuildmcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/viralcode/openwhale/tree/main/skills/xcodebuildmcp. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Xcodebuildmcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Xcodebuildmcp?

As many as you like. As long as a model supports skills, you can use Xcodebuildmcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Xcodebuildmcp AI skill free?

It is published on GitHub by viralcode. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Xcodebuildmcp

Overview

Prereqs & MCP Setup

Example Requests

Quick Start (common flow)

Task Index

Operating Rules

Bundled files

Frequently asked questions

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