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

Enables AI-to-AI consultation for critical thinking and complex reasoning via OpenRouter, allowing one AI to delegate tasks to another AI model.

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

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.

Controls Android and iOS devices from AI agents through a token-efficient MCP server, enabling observation, tapping, typing, gestures, navigation, assertions, and safety-gated actions.

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 control Android phones via MCP and HTTP. Supports screen capture, taps, swipes, text input, and app management.

MCP server for controlling Android devices via semantic actions with verification, enabling any MCP client to interact with phones through natural language and structured tools.

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.

A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables users to deploy a production-grade control plane for agents, providing a spec-compliant MCP server, scoped tool grants, failure-mode detection, and cost governance.

MCP server that gives Claude Code full mouse, keyboard, and app control on macOS. Tell Claude what to do and watch it operate your computer.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Enables coding agents to request, track, and verify independent cross-model reviews with structured findings, attachment hashes, and provenance receipts via Chrome Bridge, Codex, or Responses transports.

Enables claude.ai on your phone to act as a peer in the agentsync coordination mesh, using GitHub contents API instead of git to read and update claims.json. Provides tools for surveying, claiming, conflict-checking, updating status, releasing, history, and mailbox notes.

This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.

Start, observe, and interact with Claude Managed Agents from any MCP client — launch an agent, watch its events, reply, approve the tools it wants to run, and stop it. Runs over stdio, HTTP, or AWS Lambda with pluggable auth.

Give AI agents eyes and hands on macOS.

Reliable Codex Desktop automation for long tasks with durable async operations, Plan Mode workflows, and retry-safe task submission.

A local MCP server that exposes Mobile AI Agent capabilities from the WebADB browser as MCP tools, allowing external AI clients like Qoder and OpenClaw to control connected phones through natural language tasks, screenshots, device status, and memory management via a WebSocket relay.