mobile-mcp: let AI agents drive your iOS and Android apps

by mobile-next · MCP Server · ★ 10.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mobile-mcp

claude mcp add mobile-mcp -- npx -y @mobilenext/mobile-mcp@latest
codex mcp add mobile-mcp npx "@mobilenext/mobile-mcp@latest"

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentandroidandroid-automationappium-alternativeclaude-codecodexcursoremulatoriosios-automation

Quick Facts

Stars10,381
Forks932
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score70/100
Open Issues67
Last Updated2026-11-07
Created2025-03-28
Platformsclaude-code, codex, mcp, node
Est. Tokens~18k

About mobile-mcp

Mobile Next - MCP server for Mobile Development and Automation | iOS, Android, Simulator, Emulator, and Real Devices This is a Model Context Protocol (MCP) server that enables scalable mobile automation, development through a platform-agnostic interface, eliminating the need for distinct iOS or Android knowledge. You can run it on emulators, simulators, and real devices (iOS and Android).

mobile-mcp alternative? Top 6 similar tools

Looking for a mobile-mcp alternative? If you're comparing mobile-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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