"Using a mobile phone for remote control functionality" 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.

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 coding agents to observe and control an authorized Android phone over ADB through MCP tools and a JSON CLI. It supports UI inspection, screenshots, taps, swipes, typing, key presses, app listing, and launching.

Enables desktop agents such as Claude Code and Codex to control an Android phone as a long-lived action endpoint, pairing over outbound WebSocket and exposing phone capabilities as MCP tools with local pause and revocation.

Enables AI agents to see and operate a real Android phone over adb by fusing live screenshots with UI-tree data, supporting look, tap, swipe, type, and screenshot actions through any MCP client.

Lets AI agents drive real iPhones and Androids hosted in the cloud over HTTPS — taking screenshots, inspecting on-screen elements, tapping, typing, swiping, and launching apps — with no pairing, adb, or Mac required. It can run locally over stdio or as a hosted streamable HTTP endpoint supporting API keys and OAuth sign-in.

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 agents and LLMs to automate, inspect, and scrape native iOS and Android apps across simulators, emulators, and real devices through a platform-agnostic interface using accessibility snapshots or screenshot-based coordinates. It provides device, app, screen, input, log, and crash management tools, including optional cloud device reservation.

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.

Enables AI agents to place phone calls and send SMS via Twilio with plan-then-confirm safety, dry-run mode, number allowlists, calling-hour guards, and an audit log.

Enables validating and enriching phone numbers, returning validity, international/national formats, carrier, line type, and country/location data.

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.

Enables LLMs to orchestrate AI agents and tasks, inspect DAG workflows, monitor cluster metrics, and perform safe database queries and statements through standardized MCP tools.

Enables AI agents to dynamically instrument Android and iOS apps through Frida 17, exposing 40 tools for exploring apps, hooking Java/ObjC/native methods, tracing calls, bypassing SSL pinning, capturing TLS keys and plaintext, and inspecting memory. Results use Ghidra/IDA-style module+offset addresses and carry an evidence envelope, with optional UI automation through mobile-mcp.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables AI assistants to inspect and safely control OBS Studio over obs-websocket v5, exposing scenes, inputs, filters, outputs and video settings as read and write tools that default to dry runs and refuse changes while live unless explicitly confirmed. It also provides Source Record and IRL readiness checks, a BRB auto-switcher, and a scene timeline log for cutting clips from VODs.

Enables AI to remotely control macOS systems via VNC with full desktop capabilities including screenshots, mouse control, keyboard input, and application management. Includes a web-based chat interface for natural language control.

AI-native orchestration layer with 80+ tools for task management, code editing, browser automation, terminal control, and persistent memory across CLI, local MCP, and cloud deployments.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.