"Using a mobile phone for remote control functionality" matching MCP servers:

Enables looking up mobile phone numbers for a list of contacts by chaining your own Prospeo, Lusha, ContactOut, and FullEnrich keys until a provider returns a number. Returns one row per contact with the number in E.164 format, line type, country, a Do Not Call flag where reported, and the provider credits spent.

An MCP server that lets AI agents control Android TVs via ADB, including searching and playing content across streaming services, managing power and volume, and sending remote control commands.

Enables AI services like Claude and Cursor to remotely control a Mac by executing shell commands, managing files, and running AppleScript for UI automation. Access is secured through OAuth 2.0 authentication and encrypted tunnels to protect remote interactions.

Enables remote desktop control with screen capture and mouse/keyboard simulation through an MCP server exposed via a WebSocket tunnel.

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.

Gives AI agents uniform perception and control over Android, iOS, and mock mobile devices through MCP, including taps, typing, app navigation, deep links, SMS/OTP retrieval, and human-in-the-loop approvals.

Enables AI agents to remotely control a real Android phone over MCP with no ADB, root, or emulator, by connecting a broker server to a sideloaded APK. Exposes tools to list devices, capture screenshots, read the UI tree, open links and deep links, and perform taps, swipes, typing, and global navigation actions.

Validates phone numbers and provides country calling codes, enabling AI agents to look up international dialing codes and filter by country name, ISO code, or calling code.

Enables AI agents to use a real Android phone with a SIM to retrieve phone numbers, receive SMS verification codes, and manage SMS messages.

Enables an AI client to control an Android emulator or USB device over ADB by selecting a device, inspecting the UI hierarchy, and performing taps, swipes, text entry, key presses, and app launches. It relies only on Android platform-tools and exposes a compatible tool surface for phone automation.

Enables an AI agent to boot and control an Android emulator — tapping, typing, scrolling, inspecting screens, reading logs and installing APKs — and to record those interactions as replayable, CI-ready test flows. Actions are captured by element text or id rather than coordinates, so the saved tests survive layout changes and rerun without the agent.

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 agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Validates phone numbers worldwide (carrier, line type, country) via single or batch requests, with pay-per-call using x402 micropayments (USDC on Base) — no API key required.

AI-safe mobile device control via MCP: a policy-guarded, session-oriented mobile automation harness for AI agents with 66 MCP tools and an Explorer for automatic page traversal.

A five-level safety and verification layer for embodied mobile agents that provides auditable, secure phone control through vision classification, verify-after-act loops, and cryptographic anchoring.

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.

Enables AI coding assistants to run pre-publish security and code-quality scans across 17 categories, generate a 0–100 security score and Markdown report, quickly check critical vulnerabilities, and receive fix/refactor suggestions by finding ID.

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