Google PageRank for AI agents. 25,000+ tools indexed.

android-adb-skill MCP Server

amit-nayar/android-adb-skill

Score: 46.8 Rank #88 MCP Server
Are you the maintainer of amit-nayar/android-adb-skill? Claim this listing →

AI coding agent skills for Android device automation via ADB — screenshots, UI inspection, gestures, app management, and debugging without an MCP server.

Add AgentRank to Claude Code Discover and compare tools like amit-nayar/android-adb-skill — your AI finds the right one automatically
Get API Access →
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

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 2

2 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 0%

0/2 issues closed → many open issues

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Issue Health high impact

You have 2 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

AgentRank score for amit-nayar/android-adb-skill
[![AgentRank](https://agentrank-ai.com/api/badge/tool/amit-nayar--android-adb-skill)](https://agentrank-ai.com/tool/amit-nayar--android-adb-skill/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/amit-nayar--android-adb-skill/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/amit-nayar--android-adb-skill" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="amit-nayar/android-adb-skill"></script>

Matched Queries

"mcp server""mcp-server"

From the README

<p align="center">
  
</p>

<h1 align="center">Android ADB Skill</h1>

<p align="center">
  <a href="https://github.com/amit-nayar/android-adb-skill/actions/workflows/test.yml">
    
  </a>
  <br>
  Android device automation for AI coding agents.<br>
  Skill-driven orchestration with a local command layer instead of MCP.
</p>

## 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

Top movers, new tools, ecosystem insights — straight to your inbox.