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AI agents gain full control of real iOS and Android devices via MCP

By PulseAugur Editorial · [1 sources] ·

A new guide demonstrates how AI agents can gain full control over real iOS and Android devices using the Model Context Protocol (MCP). This allows agents to perform actions like tapping, swiping, inspecting network traffic, and simulating GPS locations with the fidelity of a human user. The setup involves obtaining an API token from RobotActions and configuring an MCP-capable client, such as Claude Desktop or Cursor, to interact with the devices. AI

IMPACT Enables AI agents to perform complex mobile testing and interaction tasks, potentially accelerating app development and quality assurance.

RANK_REASON Guide on using an existing protocol (MCP) with a third-party service (RobotActions) to enable AI agent control of mobile devices.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI agents gain full control of real iOS and Android devices via MCP

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Guide on using an existing protocol (MCP) with a third-party service (RobotActions) to enable AI agent control of mobile devices.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
Clearly on-topic for AI-industry coverage.
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52 days old
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · krish pavuluri ·

    How to Give an AI Agent Full Control of a Real iOS or Android Device (over MCP)

    <p>AI agents are getting good at writing code, browsing the web, and calling APIs. But there's one surface most of them still can't touch: a <strong>real phone</strong>. Not a simulator, not a screenshot fed back to the model — an actual iOS or Android device, driven with the fid…

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