mobile-next/mobile-mcp
by Various
Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)
MCP
mobile-next/mobile-mcp
Added 1 June 2026
Overview
An open-source Model Context Protocol server that enables automation and scraping on iOS, Android, emulators, simulators and real devices. It provides a standardized interface for controlling mobile devices programmatically via the Model Context Protocol. The project is written in TypeScript.
Best for
Best for
Developers who need to automate mobile device interactions from LLM-based tools or agents
Use cases
- Automating mobile app testing workflows across different device types
- Scraping data from mobile applications for analysis
- Integrating mobile device control into LLM or agent toolchains
Notes
An open-source Model Context Protocol server that enables automation and scraping on iOS, Android, emulators, simulators and real devices. It provides a standardized interface for controlling mobile devices programmatically via the Model Context Protocol. The project is written in TypeScript.
5,083 stars on GitHub. Last updated 2026-05-31. Licensed Apache-2.0.
Use cases
- Automating mobile app testing workflows across different device types
- Scraping data from mobile applications for analysis
- Integrating mobile device control into LLM or agent toolchains
Pros
- Supports a wide range of devices including emulators, simulators and real hardware
- Open source with over 5,000 stars indicating community interest
- Standardized protocol makes it reusable across different tools
Cons
- Requires setting up appropriate device environments for each platform
- May have limited functionality compared to native automation frameworks
- Dependent on the evolving Model Context Protocol specification
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Supports a wide range of devices including emulators, simulators and real hardware
- Open source with over 5,000 stars indicating community interest
- Standardized protocol makes it reusable across different tools
Cons
- Requires setting up appropriate device environments for each platform
- May have limited functionality compared to native automation frameworks
- Dependent on the evolving Model Context Protocol specification
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