mobile development向けの厳選されたMCPサーバーコレクションをご覧ください。226個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Extracts and analyzes errors and warnings from Xcode build logs for integration with AI assistants.
Builds Android projects and provides error feedback to Large Language Models.
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).
Enables AI assistants to programmatically create, build, test, and manage iOS/macOS projects through Xcode functionality.
Facilitates AI assistant control and interaction with Xcode projects on macOS.
Wraps Xcode CLI tools, summarizing verbose outputs to reduce LLM token usage, thereby accelerating development workflows and boosting reliability.
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.
Controls Android devices remotely via ADB, enabling UI automation, form filling, and ultra-fast video streaming.
Provides intelligent, agent-centric access to React Native Godot documentation, examples, and implementation guides for large language models.
Enables programmatic interaction with Expo projects and Expo Application Services (EAS) for mobile app development automation.
Provides a daemon service for Jadx, enabling remote execution and integration capabilities.
Manages iOS/macOS apps, TestFlight, and app metadata by interacting with the Apple App Store Connect API.
Converts SVG image files into Android Vector Drawable XML format.
Enables programmatic control of the WeChat Developer Tools IDE and mini-programs from an MCP client via `miniprogram-automator`.
Enables AI coding assistants to parse Xcode build output and execute build commands for Swift and Objective-C projects on macOS.
Drives a real iPhone through macOS iPhone Mirroring for testing and automation, requiring no simulators, jailbreaks, or on-device apps.
Enables AI-assisted FlutterFlow development by providing AI assistants with full read and guided write access to FlutterFlow projects.
Provides structured performance profiling data for iOS/macOS applications to AI agents by wrapping Xcode Instruments (`xctrace`) and converting raw XML traces into actionable JSON.
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