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Mobile Next

Updated Jul 26, 2026
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Give your AI agents hands-on control of real iOS & Android devices via API. Pay per minute. Deterministic automation, agentic QA, and MCP integration.

Categories:
#mobile automation#qa#ai agents#device cloud#testing
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Editor's Verdict

Rating: 4.5/5.0Reviewed by RAGWiki
At $0/month, Mobile Next stands out as a powerful solution in the developer tools landscape. It is especially well-suited for professionals like Software Engineer and QA Engineer. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid cost at scale. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

  • Mobile CLI
  • Mobilewright
  • Mobile MCP
  • Mobile Next Cloud

In-Depth Review: What is Mobile Next?

"

Mobile Next Cloud is a programmable mobile runtime that lets AI agents and developers control real iOS and Android devices through a simple API. Built on open-source tools like mobilecli, mobilewright, and mobile-mcp, it enables deterministic automation, autonomous QA, and AI-assisted mobile development. No hardware setup required—just spin up a session, connect your agent, and pay per minute. Trusted by engineers at top companies.

Core Features

Mobile CLI

Control any iOS or Android device from the command line with commands for hierarchy, screenshot, tap, swipe.

Mobilewright

Playwright-compatible mobile automation library for iOS and Android, turning agent exploration into CI-ready scripts.

Mobile MCP

Connect any AI agent to mobile devices via the MCP protocol for agentic QA and development.

Mobile Next Cloud

On-demand real devices via API with per-minute billing, no hardware setup.

Parallel Sessions

Run hundreds of isolated device sessions simultaneously with no queues or shared state.

Native Mobilewright Support

Cloud sessions are first-class Mobilewright targets, identical to local runs without adapters.

Upload Any Build

Upload .ipa or .apk builds and install on real devices in seconds for agent interaction.

Observability

Full session traces and screen recordings of every agent action for replay and debugging.

Pricing

Starter

$0/month
  • 10 minutes/day on real devices
  • 1 concurrent session
  • Latest iOS & Android only
  • 7 days test result retention
  • Community support
Most Popular

Pro

$0.15/minute
  • Unlimited device minutes
  • Up to 20 concurrent sessions
  • Wide range of Android and iOS models
  • Full session traces & replay
  • 30 days test result retention
  • Priority support

Enterprise

Custom
  • Unlimited concurrency
  • Dedicated device pools
  • Custom retention policy
  • Custom S3 bucket
  • Service Accounts
  • SSO & audit logs
  • SLA + dedicated support

Pros and Cons

Pros

  • Open Source CoreAll core tools (CLI, Mobilewright, MCP) are open source with FSL license for commercial sustainability.
  • Real Device AccessProvides real iOS and Android devices via API, crucial for accurate testing and agent interactions.
  • Deterministic AutomationAgent explorations can be turned into reproducible, Playwright-compatible test scripts for CI.
  • Wide AI Agent CompatibilityWorks with Claude, Copilot, Gemini, and many other MCP-compatible agents.
  • Pay-as-You-Go PricingCloud sessions billed per minute with a free tier, reducing upfront costs.

Cons

  • Cost at ScalePro plan at $0.15/minute can become expensive for high-volume, long-duration sessions.
  • Platform LimitationOnly supports iOS and Android; no desktop or other mobile OS support.
  • API DependencyRequires integration with API and MCP protocol, which may have a learning curve.
  • Limited Free TierStarter plan only 10 minutes/day with restricted device models and retention.
  • No Offline ModeCloud sessions require internet connectivity; no offline testing capability.

Use Cases & Recommended Professions

Software Engineer→ View Toolkit

Builds and tests mobile apps using real devices via CLI or automated scripts in CI/CD pipelines.

QA Engineer→ View Toolkit

Conducts autonomous mobile QA using AI agents that explore apps and generate test cases.

AI Agent Developer→ View Toolkit

Develops AI agents that need direct mobile device control for testing or data gathering.

DevOps Engineer→ View Toolkit

Manages real device infrastructure for parallel automated testing in CI workflows.

Product Manager→ View Toolkit

Verifies app builds on real devices and reviews session traces for quality assurance.

Mobile Developer→ View Toolkit

Runs quick device tests via CLI or integrates Mobilewright into development loop.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of Mobile Next were synthesized using AI and fact-checked by our curation team to ensure accuracy.

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