"Searching for a mobile application" matching MCP servers:

A Model Context Protocol server that enables scalable mobile automation through a platform-agnostic interface for iOS and Android devices, allowing agents and LLMs to interact with mobile applications using accessibility snapshots or coordinate-based interactions.

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

Enables mobile device automation for Android (via ADB) and iOS Simulator (via simctl), allowing you to control devices with natural language through screenshots, UI interactions, text input, and app management.

Enables AI coding agents to test and automate Android apps rendering UI in OpenGL/Vulkan/Metal surfaces via screenshot-based vision tools for tapping, swiping, long-pressing, and recording, without accessibility tree dependency.

An MCP server that lets AI agents drive real Android apps on emulators/devices, returning screen state, logs, and screenshots after every action, and learns a navigation map of the app for efficient route-based interaction.

Runtime access for AI coding agents to observe and control Android and iOS apps.

A version-aware documentation MCP server for mobile development that verifies API availability against target platform versions.

An MCP server that enables AI assistants to analyze Android APK and iOS IPA files for security issues through natural language conversation, including permission auditing, secret detection, and SDK enumeration.

MCP server that gives LLMs access to up-to-date mobile SDK documentation, package registry info, and GitHub issues.

A minimal, secure MCP server for AI-assisted mobile development, enabling build, install, interact, and inspect Android/iOS apps.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

MCP server that gives AI coding assistants the ability to see and interact with mobile devices. 49 tools for Android/iOS — AI-powered visual analysis (Claude + Gemini), smart tap/type by description, Flutter widget tree inspection, video recording, and test script generation. 4-tier element search with <1ms local matching. Free tier included, zero setup via npx.

Enables MCP clients to discover, pair with, and control Android phones running the FreeCode Agent app over a local network, including accessibility tree inspection, taps/swipes/text input, screenshots, and live screen streaming.

Enables agents and LLMs to interact with native iOS and Android applications and devices via structured accessibility snapshots or coordinate-based taps, supporting simulators, emulators, and real devices.

An MCP server that gives AI agents the power to record, replay, and mock mobile app interactions — combining Maestro UI automation with Proxyman network capture to generate complete, self-contained test scripts.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables mobile device automation on Android and iOS via MCP, including native UI operations, WebView CDP debugging, and reusable JSON flow replay.

Enables AI-powered screenshot capture and UX/UI analysis of iOS simulators and Android emulators directly from your IDE.

An MCP server for mobile automation that enables LLMs to interact with Android and iOS devices through screenshot, tap, swipe, log analysis, and app lifecycle management.