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

Enables interaction with Google Kubernetes Engine (GKE) to list clusters, manage node pools, and retrieve server configurations. It includes automated scripts for deploying and testing sample applications across multiple GKE Autopilot clusters.

Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.

MCP server for ABB RobotStudio and robot controllers, exposing 55 tools via SDK and RWS transports for simulation, programming, and monitoring.

Remote MCP server for Amika: manage sandboxes and agent sessions from any MCP client, including Claude mobile app.

Enables AI assistants to manage Google Cloud TPU VMs, including queueing, monitoring, bootstrapping, and SSH/tmux integration.

An MCP server for managing local Android Virtual Devices (AVDs) and their lifecycles using Android SDK tools. It enables users to create, start, and stop emulators, while providing control over virtual sensors like the accelerometer and gyroscope.

An MCP server for managing home lab VMs and PNETLab topologies, enabling AI agents to power VMs, handle snapshots, and verify device configurations with explicit allowlists and confirmation gating.

An MCP server that lets AI agents run PHP unit and integration tests inside Docker containers without local PHP or Composer.

An MCP server for automating virtual or physical Android devices using the Gbox SDK. It enables users to manage app installations, capture screenshots, and perform complex UI actions through natural language instructions.

A Model Context Protocol server that provides integration with the Coolify API, enabling DevOps teams to manage Coolify deployments, applications, services, and servers through MCP tools.

MCP server for Cisco Modeling Labs (CML) that enables building, managing, and running network labs through MCP tools, wrapping the CML Python SDK for lab/topology CRUD, node/link management, and configuration.

Enables AI tools to manage containerized applications through Podman, supporting container lifecycle operations, command execution, log viewing, image management, and resource monitoring. Features automatic network discovery for seamless integration with MCP Discovery Hub.

Enables AI-powered management of Ludus cyber range environments through natural language commands. Provides 157 tools for range lifecycle management, scenario deployment, template creation, Ansible role management, and SIEM integration for security testing and research.

A high-performance server that enables integration between Apache CloudStack infrastructure and AI assistants through the Model Context Protocol, providing comprehensive tools for managing virtual machines, storage, networking, and other cloud resources.

Enables AI assistants to manage VNG Cloud infrastructure including compute, storage, networking, and Kubernetes resources through natural language commands.

MCP server that exposes fleet-aware KVM primitives for AI agents to control TinyPilot devices, including screen capture, keyboard input, mouse events, and device selection.

A MCP server that enables LLMs to interact with iOS simulators through natural language commands.

Enables MCP-capable agents to manage Meshive GPU Cloud resources, including account, workspaces, pods, storage, GPUs, templates, serverless deployments, tasks, assets, machines, and billing history.

Enables AI assistants to manage Massed Compute GPU instances, including browsing inventory, launching and managing VMs, and auditing billing.

Enables AI agents to safely test and debug PowerShell, CMD/BAT scripts, and system utilities inside isolated Hyper-V virtual machines, with snapshot rollback, host-to-guest file transfer, PowerShell Direct execution, and autonomous self-correction on failures.