saranshbamania/mobile-device-mcp
by Various
MCP server for AI-powered mobile device control — 26 tools for screenshots, UI inspection, touch interaction, and AI visual analysis. Supports Anthropic Claude & Google Gemini.
MCP
saranshbamania/mobile-device-mcp
Added 1 June 2026
Overview
MCP server for controlling mobile devices programmatically. It provides 26 tools for screenshots, UI inspection, touch interaction, and visual analysis, integrating with Anthropic Claude and Google Gemini.
Best for
Best for
Developers building agent-driven mobile testing or automation workflows
Use cases
- Automate mobile app testing via screenshots and UI inspection
- Perform touch interactions programmatically
- Integrate mobile device control into AI agent workflows
How to use
Install
npx mobile-device-mcp Tools exposed
list_devicesget_device_infoget_screen_sizetake_screenshotget_ui_elementsdouble_taplong_presstype_textpress_keylist_appsget_current_appget_logsanalyze_screenfind_elementsmart_tapsmart_typesuggest_actionsvisual_diffextract_textverify_screen
Tested with
Claude Code, Cursor, Windsurf, VS Code
Notes
MCP server for controlling mobile devices programmatically. It provides 26 tools for screenshots, UI inspection, touch interaction, and visual analysis, integrating with Anthropic Claude and Google Gemini.
1 stars on GitHub. Last updated 2026-03-23.
Use cases
- Automate mobile app testing via screenshots and UI inspection
- Perform touch interactions programmatically
- Integrate mobile device control into AI agent workflows
Pros
- 26 tools cover a broad range of device control actions
- Supports both Claude and Gemini for flexible AI integration
- TypeScript codebase for developer familiarity
Cons
- Low GitHub stars suggest early stage or limited adoption
- Requires MCP client setup and external AI model access
- Dependence on external APIs for visual analysis
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- 26 tools cover a broad range of device control actions
- Supports both Claude and Gemini for flexible AI integration
- TypeScript codebase for developer familiarity
Cons
- Low GitHub stars suggest early stage or limited adoption
- Requires MCP client setup and external AI model access
- Dependence on external APIs for visual analysis
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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