android-agent: Open-source framework to drive a real phone with AI agents

by ghost-in-the-droid · MCP Server · ★ 408

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

How to install android-agent

git clone https://github.com/ghost-in-the-droid/android-agent.git
claude mcp add android-agent -- uvx --from ghost-in-the-droid android-agent-mcp

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 79/100

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.

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.

adbandroidandroid-automationautomationbot-frameworkfastapiiosiphonemcpopen-source

Quick Facts

Stars408
Forks48
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score79/100
Open Issues3
Last Updated2026-08-13
Created2026-04-08
Platformsbrowser, mcp, python
Est. Tokens~16k

About android-agent

Ghost in the Droid Summon a ghost into your Android. It sees the screen. It taps the buttons. It never sleeps. Website · Docs · Skill Hub What It Does Open-source Python framework for controlling real Android phones via ADB. No app installed. No footprint. Pure automation. Define skills for any app, run them from the dashboard or API, scale across a phone farm.

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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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