Mobile MCP Server

What does “Mobile MCP” Server do?

Mobile MCP (Model Context Protocol) Server is a platform-agnostic tool designed to facilitate scalable mobile automation and development across iOS, Android, emulators, simulators, and real devices. It acts as a bridge between AI agents, LLMs, and mobile environments, enabling seamless interaction with native mobile applications. By leveraging accessibility snapshots and coordinate-based taps based on screenshots, Mobile MCP abstracts the complexity of device-specific automation. This empowers developers and AI workflows to perform tasks such as UI testing, app interaction, and mobile data extraction without needing deep expertise in either iOS or Android development. Mobile MCP enhances productivity by standardizing how mobile automation and scraping tasks are executed, which can be integrated into broader AI-driven development and testing pipelines.

List of Prompts

No prompt templates are mentioned in the available documentation or repository files.

List of Resources

No explicit resources are described in the public documentation or code index.

List of Tools

No detailed tool definitions found in the documentation or visible code. The server is described as enabling automation and interaction with mobile devices, but specific MCP “tools” are not listed.

Use Cases of this MCP Server

• Automated Mobile Testing: Use Mobile MCP to automate UI and functionality tests across iOS and Android devices, both physical and virtual, improving test coverage and reliability without manual intervention.
• Cross-Platform Mobile Automation: Enable AI agents to interact with mobile apps regardless of platform, reducing the need for device-specific automation scripts and knowledge.
• Mobile App Scraping: Extract data and perform analysis on native app interfaces using accessibility snapshots or coordinate-based taps, supporting a wide range of scraping and data-gathering use cases.
• Continuous Integration for Mobile Apps: Integrate Mobile MCP with CI/CD pipelines to automate deployments, run regression tests, and validate app behavior on various device types efficiently.
• LLM-Driven Mobile Interactions: Allow large language models to perform real-time interactions on mobile devices, enabling advanced workflows such as automated app walkthroughs or scenario-based testing.

How to set it up

Windsurf

1. Ensure Node.js is installed on your machine.
2. Locate your Windsurf configuration file.
3. Add the Mobile MCP server using the following JSON snippet:

   {
     "mcpServers": {
       "mobile-mcp": {
         "command": "npx",
         "args": ["@mobilenext/mobile-mcp@latest"]
       }
     }
   }
   

4. Save the configuration file and restart Windsurf.
5. Verify the setup by checking the MCP server log output.

Claude

1. Install Node.js if not already present.
2. Open the Claude configuration file.
3. Insert the Mobile MCP server configuration:

   {
     "mcpServers": {
       "mobile-mcp": {
         "command": "npx",
         "args": ["@mobilenext/mobile-mcp@latest"]
       }
     }
   }
   

4. Save and restart Claude.
5. Confirm the server is running by inspecting logs.

Cursor

1. Prerequisite: Node.js must be installed.
2. Edit the Cursor MCP configuration.
3. Add Mobile MCP using:

   {
     "mcpServers": {
       "mobile-mcp": {
         "command": "npx",
         "args": ["@mobilenext/mobile-mcp@latest"]
       }
     }
   }
   

4. Save the file and restart Cursor.
5. Check for successful connection in the Cursor interface.

Cline

1. Make sure Node.js is installed.
2. Navigate to the Cline configuration file.
3. Add Mobile MCP server details:

   {
     "mcpServers": {
       "mobile-mcp": {
         "command": "npx",
         "args": ["@mobilenext/mobile-mcp@latest"]
       }
     }
   }
   

4. Save changes and restart Cline.
5. Verify by observing the MCP server status.

Securing API Keys

Use environment variables to securely manage API keys and sensitive inputs. Example:

{
  "mcpServers": {
    "mobile-mcp": {
      "command": "npx",
      "args": ["@mobilenext/mobile-mcp@latest"],
      "env": {
        "API_KEY": "${MOBILE_MCP_API_KEY}"
      },
      "inputs": {
        "device": "emulator"
      }
    }
  }
}

Set your API keys in your system’s environment variables for security.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "mobile-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change "mobile-mcp" to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

Mobile MCP is a promising MCP server for mobile automation and development across platforms, but the lack of explicit documentation for prompts, resources, and tools limits its immediate utility for advanced MCP workflows. Its strong support for setup and security best practices is a plus. Overall, it is well-suited for developers focused on mobile automation but needs more documentation for full MCP protocol leverage.

MCP Score