"Resources or examples for coding in iOS Swift" matching MCP servers:

An MCP server providing curated Swift and SwiftUI best practices from leading iOS developers, including patterns and real-world code examples from Swift by Sundell, SwiftLee, and other trusted sources.

Enables AI coding agents to review Swift code, scaffold new iOS apps, and build, test, and preview them in the Xcode Simulator using local Apple guides and source references.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

A bridge between iOS simulators and the Model Context Protocol, enabling programmatic control of iOS simulators through standardized communication interfaces.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Enables retrieving user and post data through MCP tools, with Zod-based request validation and OpenAPI/Swagger UI support.

Provides reference implementations of MCP servers using FastAPI and FastMCP, including calculator and RSS/Atom feed parser tools.

Enables iOS build, launch, and UI test automation on both simulators and physical devices through a single MCP server, with lease-based device ownership that prevents simulator and helper process leaks.

Enables AI assistants to diagnose and fix iOS app issues that cause App Store rejections, such as missing privacy manifests, permission strings, and test credentials, before submission.

Enables interaction with iOS simulators by providing tools to inspect UI elements, control UI interactions, and manage simulators through natural language commands.

Enables natural language profiling of iOS apps using xctrace (Instruments) for performance analysis like launch time, memory leaks, CPU usage, and network requests.

MCP server for coding-os, a cognitive operating system that gives AI agents memory, structure, and discipline. It exposes tools for project management, task tracking, knowledge graphs, and cognition traces to Claude Code and Codex.

Provides AI coding assistants with code search, impact analysis, task chaining, and persistent memory to turn AI demos into deliverable code.

Exposes native iPhone device services and UI automation through MCP, enabling agents to inspect and control trusted iPhones via a unified interface.

An MCP server that provides comprehensive tools for managing iOS simulators, including device control, app lifecycle management, and UI automation. It enables developers to boot devices, install apps, capture screenshots, and simulate user interactions through natural language commands.

A Model Context Protocol (MCP) server for iOS Simulator automation. Enables AI assistants to visually interact with iOS apps running in the simulator.

Educational MCP server demonstrating the 2026-07-28 stateless protocol with raw Starlette, no SDK, featuring tools, request state handles, MRTR elicitation, and subscriptions.

MCP server that drives the iOS Simulator via accessibility-tree snapshots with stable element refs, enabling LLMs to interactively find, tap, type, and inspect UI elements at sub-200ms latency.

Enables AI agents to manage iOS Simulator state declaratively through MCP tools for inventory, snapshot, diff, planning, and safe apply operations.