Discover our curated collection of MCP servers for mobile development. Browse 154servers and find the perfect MCPs for your needs.
Automates iPhone tasks, including app control, UI interactions, and screenshot capture, via a streamable HTTP server using Appium.
Empowers AI agents with instant, up-to-date access to official Apple developer documentation and video content via a RAG system.
Manipulates Xcode project files programmatically using the Model Context Protocol.
Establishes a lightweight bridge for AI agents to interact with and automate tasks on Android devices.
Provides deep, semantic-level analysis of Swift codebases to AI models with compiler-grade accuracy, leveraging Apple's SourceKit-LSP.
Provides a multi-platform ERP application with a modular architecture for managing various business operations.
Exposes Jadx API over HTTP for live interaction and automation of reverse engineering workflows.
Provides access to Gaode Map (Amap) services, including geocoding, IP location, weather information, route planning (bicycling, walking, driving, public transit), distance measurement, and POI search.
Builds iOS Xcode workspace/project and feeds back errors to LLMs via the Model Context Protocol.
Automates mobile UI testing and assists development workflows with a comprehensive suite of tools.
Provides AI assistants with real-time, up-to-date Flutter and Dart documentation, including comprehensive pub.dev package information.
Manages Android devices via ADB with developer-focused features.
Enables AI assistants to build and test Xcode projects through a standardized Model Context Protocol interface.
Provides programmatic control over iOS simulators through a Model Context Protocol (MCP) server.
Automates Xcode builds and parses logs to provide clear build results for AI-powered development workflows.
Manages and interacts with mobile devices and simulators for iOS and Android development.
Enables native API integration for iOS and macOS applications through a JSON-RPC interface and provides an OpenAI-compatible function calling bridge.
Facilitates Android dynamic analysis for AI models by integrating with the Frida toolkit.
Demonstrates implementation of an MCP client using SwiftUI and the Anthropic API.
Enables programmatic control of iOS simulators through the Model Context Protocol.
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