mobile development를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 326개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Extracts and analyzes errors and warnings from Xcode build logs for integration with AI assistants.
Integrates Facebook's iOS Development Bridge (idb) with the Model Context Protocol (MCP) for automated iOS device management and testing.
Builds Android projects and provides error feedback to Large Language Models.
Provides tools for Xcode project management, building, testing, archiving, code signing, and related iOS development.
Implements the Model Context Protocol (MCP) in Swift for AI agent interaction, including client and server components.
Automates translation workflows and localization management for iOS/macOS projects by processing Xcode String Catalogs (.xcstrings files).
Integrates AI-powered productivity applications for task management, idea development, journal analysis, and time tracking with large language models via the Model Context Protocol.
Supercharges Flutter Widgetbook development by granting AI assistants direct access to create, modify, and test UI components within your design system.
Automates Xcode test execution and linter analysis for iOS projects, delivering structured feedback for AI assistants and developers.
Equips AI agents with instant, up-to-date access to official Apple developer documentation, design guidelines, and video content via Retrieval-Augmented Generation.
Enables natural language creation and management of WebAR experiences using 8th Wall Desktop and Claude Desktop.
Transforms your AI assistant into a mobile development powerhouse, providing seamless integration for Flutter, iOS, and Android.
Provides intelligent, agent-centric access to React Native Godot documentation, examples, and implementation guides for large language models.
Drives a real iPhone through macOS iPhone Mirroring for testing and automation, requiring no simulators, jailbreaks, or on-device apps.
Empowers AI agents to achieve ultra-fast, comprehensive control over Android devices for UI observation, interaction, and app management.
Enables AI agents to control Android devices programmatically via a Python client, bypassing the need for root access or ADB.
Streamline mobile app publishing, releases, and management across App Store Connect and Google Play Console from an AI assistant.
Enables AI assistants to build, test, debug, and interact with Android development environments through natural conversation.
Provides a Language Server Protocol (LSP) server and Model Context Protocol (MCP) server for Smali, the bytecode language of Android apps.
Facilitates AI-assisted iOS development by providing a unified Model Context Protocol server to build, deploy, screenshot, and interact with the iOS Simulator.
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