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Ios Agent Skill

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Swift reviews, local Apple references, app scaffolding and iOS simulator workflows.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for ios-agent-skill, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

iOS Agent Skill

Give your coding agent the Apple references, Swift source and local tools it needs to build and review an iOS app.

iOS Agent Skill website preview

Watch the website walkthrough · Explore the website

Use it to turn an app idea into an editable starter, improve an existing Swift project, and check the result with Xcode and the simulator. Your agent writes the app; this repository supplies reusable implementation guidance and tools to inspect its work.

Tests Docs npm total downloads

Explore the website · Client setup guides · npm · Release notes

Start with one connection

For Claude Code:

Terminal
claude mcp add ios-agent -- npx -y ios-agent-mcp@latest

Set up ChatGPT/Codex, Gemini CLI or Muse. One npm package includes reviews, local references, app scaffolding and simulator tools. Node.js 20+ is required; building and running iOS apps needs macOS and Xcode.

Then ask:

Build a SwiftUI reading list with local persistence, search and accessible empty/error states. Reuse the local source library. Build it, run the tests and capture simulator evidence. Explain any checks that fail.

For an existing app, provide its absolute project path and ask for a focused review before making changes.

What it helps you do

FeatureWhat you get
Start an appAn editable Swift starter, implementation brief and optional XcodeGen specification.
Reuse Apple knowledgeSearch local Swift source and guides in bounded sections, plus a dated directory of Apple technologies and release notes.
Review Swift codeFile-located findings for concurrency, architecture, SwiftUI, availability, security, performance and App Intents.
Generate design assetsNamed light/dark/high-contrast colors and an opaque 1024px app icon rendered locally from editable SVG layers.
Review app color systemsGenerate semantic palettes and inspect light, dark and high-contrast color evidence.
Review backend integrationIdentify supported services and review credential, auth, policy and networking evidence locally.
Verify on a simulatorBuild, test, install, launch and capture screenshots through Xcode.
Review launch screensConservative target-aware checks for launch configuration, storyboards and asset references.
Prepare a local release draftInspect selected-target facts, unresolved questions and hashed, resumable local packages without connecting to Apple.

Asset generation · Review tools · Simulator setup · Apple release status

Create a starter directly:

Terminal
npx -y ios-agent-mcp@latest new MyApp --brief "A reading list with local storage" --xcodegen

XcodeGen is needed to generate the Xcode project. The starter is not a finished app. Generated app ownership and branding belong to the user.

See the evidence

The Reading List demo has persistence, search, simulator acceptance tests and captured screens.

Reading List running in the simulator

The 2.7.2 server exposes 40 tools. Static reviews are heuristics, not compiler diagnostics. The Apple directory is a reference map, not Apple's proprietary framework source or proof of 405 working integrations. Token savings have not been benchmarked. Build-loop verification limits.

Why use this alongside Xcode?

Xcode already ships agent expertise and build/test tools. Use those when they meet your needs. This repository adds shared guidance across these four client families, inspectable review rules, local source retrieval and repeatable asset workflows. It has not been established that it makes an AI outperform Xcode's skills or use fewer tokens.

Where the guidance comes from, evidence and unfinished work. The paired benchmark harness contains 20 Swift microtasks; results are not published, and it does not yet measure complete app builds.

Help improve the tools

Failure feedback belongs in your coding session: the observed error, the proposed fix and actual verification results. The source server adds troubleshooting guidance to returned tool errors; agent instructions also cover compiler/test failures. These messages do not appear in the app you are building.

prepare_issue_report lets your AI prepare a local report when an iOS Agent tool fails. It accepts fixed categories only, shows a preview and a duplicate-search link, and leaves public submission to you. No app source or logs are collected. Reporting workflow.

Included as an experimental tool in 2.7.1: optional private_feedback keeps approval in the AI chat and sends fixed categories to a private inbox through a configured HTTPS receiver. Hosting is not configured, so private submission is not live. It never silently submits or falls back to public issues.

Four client families, one project

ClientSetup and evidence
ClaudeLocal MCP and source skill; your Claude client supplies the coding agent.
ChatGPT / CodexCodex local MCP; ChatGPT skills package or a separately configured HTTPS/private-tunnel MCP connection. Availability depends on account/workspace policy.
Gemini CLIExtension configuration and local MCP connection verified.
Muse CodeSkill discovery, 36-tool MCP discovery and a Stop hook verified; model sessions and observer behavior remain unverified.

The project focuses on these four families. For another client, open a client-support request or add a 👍 to an existing request. Votes inform priorities alongside feasibility and testing; they do not guarantee delivery. Existing experimental adapters are not actively maintained.

install.sh is optional: it installs source guidance for a chosen local client, not the MCP server or a browser plugin. Run bash install.sh --help after cloning. Most users should use the client setup guide above.

Reference coverage

Apple catalog tracked: 99 technologies. Covered: 99. Planned: 0. Skipped: 0. Deprecated: 0. Coverage: 100.0%.

Source of truth: frameworks.json. Human index: docs/apple-framework-index.md.

Coverage counts describe documentation, not compiled integrations. Download counts refresh daily and are not unique users.

Contributing · Development · Security · Roadmap · MIT license

https://www.producthunt.com/products/ios-agent-mcp?launch=ios-agent-mcp

Backend integration guidance: choose a service and review auth, data and security boundaries.

Read the full README →View source on GitHub →

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Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Ios Agent Skill

We don't have a confirmed install command for ios-agent-skill yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/Nagarjuna2997/ios-agent-skill) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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