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rlabs-inc/ios-forensics-mcp

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20 stars 3 forks 품질 66 트렌드 10MIT

iOS Forensics MCP Server for analyzing iPhone/iPad file systems

개요

A forensic analysis server for iOS file systems using the Model Context Protocol (MCP). This project enables AI assistants like Claude to access and analyze extracted iOS file systems for digital forensics purposes. The iOS Forensics MCP Server provides tools for analyzing iOS device extractions, focusing on: - File system analysis - SQLite database parsing with WAL forensics - Property List (plist) parsing - iOS artifact analysis (messages, call logs, contacts, locations, etc.) - Timeline generation - Forensic reporting This is designed as an educational/learning tool, allowing users to interact with an AI assistant to explore and analyze iOS data.

README

원문 README의 일부입니다. 원문 보기.

iOS Forensics MCP Server

A forensic analysis server for iOS file systems using the Model Context Protocol (MCP). This project enables AI assistants like Claude to access and analyze extracted iOS file systems for digital forensics purposes.

🔍 Overview

The iOS Forensics MCP Server provides tools for analyzing iOS device extractions, focusing on:

  • File system analysis
  • SQLite database parsing with WAL forensics
  • Property List (plist) parsing
  • iOS artifact analysis (messages, call logs, contacts, locations, etc.)
  • Timeline generation
  • Forensic reporting

This is designed as an educational/learning tool, allowing users to interact with an AI assistant to explore and analyze iOS data.

🚀 Features

  • File System Tools

    • Directory navigation with metadata analysis
    • File content viewing with type recognition
    • File searching with content and pattern matching
  • SQLite Analysis

    • Database discovery and schema analysis
    • Secure query execution with WAL handling
    • Deleted record recovery from freelist pages
    • Database carving for deep forensic analysis
  • Plist Analysis

    • Binary and XML plist parsing
    • Value extraction with query paths
    • Timestamp analysis
  • Specialized iOS Parsers

    • Messages analyzer (SMS/iMessage)
    • Call log analyzer
    • Contacts analyzer
    • Location data analyzer
    • Browser history analyzer
    • Photo geolocation extractor
    • App data analyzer
  • Advanced Analysis

    • Timeline generation across multiple data sources
    • Pattern recognition for user behavior analysis
    • Deleted data recovery
    • Comprehensive reporting

📋 Requirements

  • Python 3.9+
  • MCP compatible client (Claude Desktop, Claude Code, VS Code with MCP plugin, etc.)
  • Extracted iOS file system (accessible directory)

📦 Installation

Using uv

# Install using uv
uv install ios-forensics-mcp

From source

# Clone the repository
git clone https://github.com/RLabs-Inc/ios-forensics-mcp.git
cd ios-forensics-mcp

# Install dependencies (automatically uses editable mode)
uv sync

Claude Desktop Setup

Add the MCP server to your Claude Desktop configuration file (typically located at ~/.claude/config.json or similar path based on your OS):

{
  "mcpServers": {
    "ios-forensics": {
      "command": "uv",
      "args": [
        "run",
        "ios-forensics-mcp",
        "--root-path",
        "/path/to/ios_extraction"
      ]
    }
  }
}

After adding this configuration, restart Claude Desktop, and the iOS Forensics MCP server will appear in your available servers list.

Using with Claude

Once the server is running and configured with Claude, you can start asking forensic questions:

  • “Can you show me the SMS messages from this device?”
  • “Extract location data from this iPhone and create a timeline”
  • “Analyze the call history and show me frequently contacted numbers”
  • “Find deleted messages in the SMS database”
GitHub에서 전체 README 보기

설치

This server does not publish a one-line install command.

Open the repository installation guide MCP 초보자라면? mcpskill.org 가이드부터 시작하세요 →

설정

{ "mcpServers": { "ios-forensics": { "command": "uv", "args": [ "run", "ios-forensics-mcp", "--root-path", "/path/to/ios_extraction" ] } } }