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

MCP server that gives AI assistants structured, read-only access to the Google AdMob API — publisher accounts, apps, ad units, and performance reports.

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.

Exposes the Google AdMob API as MCP tools for managing AdMob accounts, generating network and mediation reports, and listing apps and ad units.

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.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

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.

Enables AI models to send SMS, check delivery status, and perform Mexican Mobile Number Portability (MNP) carrier lookups via the N3T Mobile CPaaS Gateway.

Checks username availability and retrieves account information across major social media platforms including YouTube, TikTok, Threads, X (Twitter), and Instagram, perfect for brand name qualification and competitive research.

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.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

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

A mobile automation MCP server providing 39 tools for Android and iOS device control, enabling AI agents to perform UI interactions, screenshot analysis, and coordinate-based operations.

MCP server for the OCPI SDK that enables AI-assisted communication with EV charging infrastructure via the Open Charge Point Interface protocol.

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.

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 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.