android-adb-skill MCP Server
amit-nayar/android-adb-skill
AI coding agent skills for Android device automation via ADB — screenshots, UI inspection, gestures, app management, and debugging without an MCP server.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
amit-nayar/android-adb-skill is a Python MCP server licensed under MIT. AI coding agent skills for Android device automation via ADB — screenshots, UI inspection, gestures, app management, and debugging without an MCP server.
Ranked #88 out of 100 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
2 stars → early stage
Last commit 1d ago → actively maintained
0/2 issues closed → many open issues
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
How to Improve
Matched Queries
From the README
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<h1 align="center">Android ADB Skill</h1>
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<a href="https://github.com/amit-nayar/android-adb-skill/actions/workflows/test.yml">
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Android device automation for AI coding agents.<br>
Skill-driven orchestration with a local command layer instead of MCP.
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## What is this?
This repo packages Android automation for agents in two layers:
- `./tools/android` is the shared execution surface.
- `skills/*/SKILL.md` are thin task workflows that compose the command layer.
The goal is to keep the agent experience high-level while keeping the runtime contract deterministic and testable.
The repo includes local tests plus GitHub Actions CI for the shared command layer.
## Why this shape?
The original MCP server solved the transport problem, but its useful part was really the command design: screenshots, UI dumps, element targeting, waits, installs, and logs. This repo keeps those capabilities while removing the extra se Read full README on GitHub → Get the weekly AgentRank digest
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