android-dev-mcp
Unified MCP server for Android mobile development — combines project knowledge, Android CLI execution, live dependency versions, and agentic workflow tools for Claude Code.
README
android-dev-mcp
Unified MCP server for Android mobile development — combines project knowledge, Android CLI execution, live dependency versions, and agentic workflow tools for Claude Code.
Install
curl -fsSL https://raw.githubusercontent.com/maheshmishra271090-design/android-dev-mcp/main/scripts/install.sh | bash
That's it. No cloning, no manual steps. The installer handles everything:
- Node.js ≥ 18 (installs or upgrades)
- Git + ITGD aliases
- Android CLI + Google Android Skills
- android-dev-mcp global npm package
- MCP config for Claude Code (via
claude mcp add) and Claude Desktop (viaclaude_desktop_config.json) - CLAUDE.md block in current project
- Git hooks (pre-commit lint + commit-msg Conventional Commits)
android-dev-mcp init registers the server in both places it can be used — the claude CLI's own MCP config (for Claude Code / the VSCode extension) and claude_desktop_config.json (for the Claude Desktop app). If the claude CLI isn't on PATH, Claude Code registration is skipped with a warning and the manual command to run instead (see below).
After install — verify
android-dev-mcp check
MCP server built: ✔
Claude configured: ✔
Android CLI: ✔ android 1.x.x
CLAUDE.md (cwd): ✔ block present
claude mcp get android-dev-mcp
android-dev-mcp:
Status: ✔ Connected
Type: stdio
Command: node
Args: <path-to-package>/dist/index.js
Then inside Claude Code, start a new session (registration only takes effect on session start):
/mcp → should show android-dev-mcp with 24 tools
Manual registration (Claude Code)
If init reports it couldn't find the claude CLI, or you're setting this up without the installer, register it directly:
claude mcp add android-dev-mcp -- node "$(npm root -g)/@maheshmishra271090-design/android-dev-mcp/dist/index.js"
Or, when working from a local clone/checkout of this repo:
npm run build
claude mcp add android-dev-mcp -- node "$(pwd)/dist/index.js"
Remove it with:
claude mcp remove android-dev-mcp -s local
What It Does
One MCP server that gives Claude Code both the knowledge and the execution power to complete full Android development workflows autonomously:
| Layer | Tools | What it provides |
|---|---|---|
| Knowledge | 14 | MVVM, Hilt, Compose, ExoPlayer, Retrofit, tests, git, prompts, model routing |
| Android CLI | 5 | Scaffold, lint, render @Preview, deploy APK, live dep versions |
| Execution | 4 | Direct adb, git, gradle, and shell command execution |
Tools (24 total)
Knowledge Layer (14)
| Tool | Returns |
|---|---|
get_full_context |
All 14 knowledge domains — call at session start |
get_project_structure |
Module layout, package naming, file conventions |
get_architecture_patterns |
MVVM, Hilt, ViewModel, StateFlow, Coroutines |
get_ui_compose_standards |
Compose screens, Material 3, Navigation, Player UI |
get_api_backend_patterns |
Retrofit, AuthInterceptor, DTO mapping, error codes |
get_player_patterns |
ExoPlayer/Media3, HLS, Widevine DRM, lifecycle |
get_cicd_commands |
Gradle flavors, signing, CI pipeline |
check_ui_fluidity |
Frame rate · jank · recomposition · ACR crash analysis |
generate_tests |
ViewModel · Repository · Compose UI · API templates |
get_git_workflow |
Branch strategy, Conventional Commits, hooks |
get_prompt_templates |
Ask CIO, few-shot CoT, compact tasks |
get_session_hygiene |
/clear vs /compact, context window rules |
get_model_routing |
Haiku/Sonnet/Opus routing + task recommendation |
get_tooling_setup |
Graphify, RTK, Caveman, Superpowers guides |
Android CLI Integration Layer (5)
| Tool | What it does |
|---|---|
get_android_cli_guide |
Full CLI command reference + workflow protocols |
run_android_cli |
Executes any android command, returns stdout |
get_live_versions |
Current agp/kotlin/compose/media3 from Google Maven* |
scaffold_feature |
Context + live versions + CLI scaffold in one call |
verify_ui |
Renders @Preview + validates against ITGD Compose standards* |
fluidity_debug_workflow |
Full debug protocol: ADB + layout tree + screenshot + ACR + lint |
*Requires Android Studio running with Gemini signed in.
Execution Layer (4)
| Tool | What it does |
|---|---|
run_adb |
Executes any adb command, returns stdout |
run_git |
Executes any git command, returns stdout |
run_gradle |
Executes a Gradle task — uses ./gradlew if present, else global gradle |
run_bash |
Executes an arbitrary shell command, returns stdout/stderr |
Agentic Workflows
New Feature
get_full_context → get_live_versions → scaffold_feature → studio analyze-file → verify_ui → android run
Fluidity Debug
fluidity_debug_workflow("player") → android layout --diff → android screen capture → ACR → fix → verify
New Developer Onboarding
curl -fsSL https://raw.githubusercontent.com/maheshmishra271090-design/android-dev-mcp/main/scripts/install.sh | bash
# Done in ~3 minutes — no pair session needed
Per-Project CLAUDE.md
To add or update the MCP block in any project:
android-dev-mcp setup-claude-md # current project
android-dev-mcp setup-claude-md --dir=~/projects/App # specific project
Safe to re-run — never overwrites existing content.
Customising Knowledge
All knowledge is plain markdown in knowledge/. Edit to match your project.
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。