"How to handle AdMob (Google mobile advertising SDK) integration" matching MCP servers:

A Model Context Protocol server for the Google AdMob API, enabling reading and writing of AdMob accounts, apps, ad units, mediation settings, and reports.

Enables natural language queries and management of AdMob apps, ad units, reports, and mediation through the Google AdMob API.

Provides AI agents with complete control over Google AdMob accounts, apps, ad units, mediation groups, A/B experiments, and performance reporting via the AdMob REST API.

Connects Claude to the Google AdMob API to provide a conversational interface for managing and analyzing ad revenue data. It enables users to generate custom network reports, track performance trends, and diagnose revenue fluctuations using natural language.

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

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.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

Enables existing agents to access browser automation, Office document generation and conversion, terminal and code execution, charts, knowledge retrieval, media, computer control, maps, data, and integration tools through one MCP server with local runtime setup.

Enables MCP-capable assistants to operate an authorized Android device or emulator by locating structured controls, falling back to local OCR when needed, and running guarded navigation along observed paths.

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.

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.

Enables MCP-compatible AI clients to analyze Android APK and iOS IPA files for security issues through natural language, including permission auditing, API endpoint extraction, hardcoded secret detection, Firebase inspection, and third-party SDK enumeration.

Enables AI agents to interact with Android devices through UI manipulation, screen capture, touch gestures, text input, and app management via ADB. Provides comprehensive mobile automation capabilities including element detection, navigation, and application control for Android device testing and interaction.

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.

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 AI-guided hierarchical fiction writing through structured XML documents. Supports step-by-step narrative expansion from book-level planning down to individual paragraphs, with custom Roo Code modes for collaborative story development.

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.

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

Transforms AI assistants into mobile development powerhouses with 36 tools for Flutter, Android, and iOS development, including intelligent device management, automated builds, testing, and deployment workflows.

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.

Enables AI assistants to control iOS simulators through WebDriverAgent, supporting taps, swipes, typing, screenshots, recording, and app actions with a real-time dashboard for visual feedback.

Provides a native mobile design workflow for Claude Code and Codex, combining award/curated app reference research, bounded design-review evidence packets, and authored SwiftUI and Jetpack Compose motion recipes. It also helps agents organize briefs, annotate reference flows, and analyze transition frames so designs can be implemented and independently reviewed against real app evidence.

Enables AI assistants to write and run mobile UI tests on Android and iOS simulators via natural language, supporting native and WebView apps without Appium.

Enables coding agents to observe and operate Android devices through ADB and uiautomator2, supporting screenshot capture, UI hierarchy access, and actions like tap, swipe, and text input.

Lets coding agents statically scan Swift, Kotlin/Java, Dart, React Native and manifest files for crash-prone operators, main-thread deadlocks, missing accessibility labels, insecure token storage, cleartext traffic and vague permission strings, and cross-check platform APIs against Info.plist, PrivacyInfo.xcprivacy and AndroidManifest permission/exported settings. It also runs syntax or full build verification, returning FAIL on error-level findings so agents must fix issues before claiming work is done.

Enables local, air-gapped automation of Android and iOS devices and emulators, letting AI agents inspect UI hierarchies, tap, swipe, type, manage apps, capture screenshots, and pull device logs and crash reports. Bundles banking-grade safeguards such as automatic PII and secret redaction, PCI-DSS-style log sanitization, and configurable screenshot-blocking DLP policies.