Simulator iOS IDB MCP Server

What does “Simulator iOS IDB” MCP Server do?

The Simulator iOS IDB MCP Server is a Model Context Protocol (MCP) server designed to enable large language models (LLMs) to interact with iOS simulators using natural language commands. By connecting AI assistants directly to an iOS simulation environment, this server facilitates tasks such as automating UI testing, inspecting app behavior, and managing simulator states. It serves as a bridge between external AI-driven workflows and the simulator, empowering developers to streamline testing, automate repetitive actions, and accelerate app development by leveraging the power of LLMs for direct simulator manipulation.

List of Prompts

No information about prompt templates is available in the repository.

List of Resources

No explicit resource primitives are described in the accessible files of the repository.

List of Tools

No direct list of tools (MCP tools) is found in the root or obvious files (such as a server.py or tooling declaration).

Use Cases of this MCP Server

• Automated UI Testing: Developers can use LLMs to instruct the simulator to perform UI interactions, making it easier to design and run automated tests.
• Simulator State Management: AI-driven scripts can manage the lifecycle and configuration of the simulator, such as launching, resetting, or switching devices.
• Behavioral App Inspection: LLMs can observe app responses to various inputs or states within the simulator, helping with debugging and validation.
• App Installation/Uninstallation: Automate installing or removing test builds on the simulator through natural language commands.
• Workflow Integration: Integrate the simulator with CI/CD pipelines or custom developer tools using LLMs as orchestrators.

How to set it up

Windsurf

1. Ensure Node.js and npm are installed on your system.
2. Locate your Windsurf configuration file.
3. Add the Simulator iOS IDB MCP Server using the following JSON snippet:

   {
     "mcpServers": {
       "simulator-ios-idb": {
         "command": "npx",
         "args": ["@InditexTech/mcp-server-simulator-ios-idb@latest"]
       }
     }
   }
   

4. Save the configuration file and restart Windsurf.
5. Verify the MCP server is running by checking the Windsurf logs.

Claude

1. Install Node.js and npm if not already installed.
2. Open Claude’s configuration file.
3. Add the following MCP server block:

   {
     "mcpServers": {
       "simulator-ios-idb": {
         "command": "npx",
         "args": ["@InditexTech/mcp-server-simulator-ios-idb@latest"]
       }
     }
   }
   

4. Save and restart Claude.
5. Confirm functionality by issuing a test command.

Cursor

1. Confirm Node.js and npm are installed.
2. Open Cursor’s configuration file.
3. Insert this MCP server configuration:

   {
     "mcpServers": {
       "simulator-ios-idb": {
         "command": "npx",
         "args": ["@InditexTech/mcp-server-simulator-ios-idb@latest"]
       }
     }
   }
   

4. Save changes and restart Cursor.
5. Check for successful integration in the UI or logs.

Cline

1. Install Node.js and npm if missing.
2. Locate Cline’s config file.
3. Add the MCP server configuration:

   {
     "mcpServers": {
       "simulator-ios-idb": {
         "command": "npx",
         "args": ["@InditexTech/mcp-server-simulator-ios-idb@latest"]
       }
     }
   }
   

4. Save and restart Cline.
5. Verify the MCP server is accessible from Cline’s interface.

Securing API Keys

To securely provide sensitive credentials, use environment variables in your configuration. Example:

{
  "mcpServers": {
    "simulator-ios-idb": {
      "command": "npx",
      "args": ["@InditexTech/mcp-server-simulator-ios-idb@latest"],
      "env": {
        "MY_SECRET_KEY": "${MY_SECRET_KEY}"
      },
      "inputs": {
        "apiKey": "${MY_SECRET_KEY}"
      }
    }
  }
}

Replace "MY_SECRET_KEY" with your actual environment variable name.

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:

{
  "simulator-ios-idb": {
    "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 “simulator-ios-idb” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Roots support: ⛔ (No evidence found)
Sampling support: ⛔ (No evidence found)

Based on the available information, this MCP server provides a clear overview and setup guidance but lacks public documentation regarding prompt templates, explicit resource definitions, tool lists, or advanced MCP features like roots and sampling. As such, it’s functional but limited in documentation transparency compared to other MCPs.

MCP Score

Rating:
I would rate this MCP server’s public documentation and openness a 4/10. It has a strong purpose and setup guidance, but lacks transparency on internal MCP constructs (tools, resources, prompts) and advanced features.