Install
$ agentstack add mcp-rlabs-inc-ios-forensics-mcp ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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"
- "Generate a report of all activity on March 15th"
- "What apps are installed on this device?"
- "Show me the last known location of this device"
- "Extract photos and their geolocation data"
- "Analyze the browser history for suspicious activity"
- "Find all contacts with phone numbers"
Claude Code Integration
To use iOS Forensics MCP with Claude Code, you need to add it as an MCP server. First ensure you have Claude Code installed:
# Install Claude Code if not already installed
npm install -g @anthropic-ai/claude-code
Then add the iOS Forensics MCP server to Claude Code:
# Add the MCP server to Claude Code
claude mcp add ios-forensics uv run ios-forensics-mcp --root-path /path/to/ios_extraction
# Or if you want to share with everyone in your project (creates .mcp.json)
claude mcp add ios-forensics -s project uv run ios-forensics-mcp --root-path /path/to/ios_extraction
# To verify the server was added
claude mcp get ios-forensics
You can also import this MCP server from Claude Desktop to Claude Code:
# Import servers from Claude Desktop
claude mcp add-from-claude-desktop
🔧 Configuration
Create a configuration file (config.json) to set up your iOS forensics environment:
{
"ios_filesystem": {
"root_path": "/path/to/ios_extraction",
"read_only": true
},
"server": {
"port": 8080,
"host": "127.0.0.1"
}
}
🚀 Usage
Starting the MCP Server
# Start with default config
ios-forensics-mcp
# Start with specific config file
ios-forensics-mcp --config /path/to/config.json
# Start with specific iOS root path
ios-forensics-mcp --root-path /path/to/ios_extraction
🗂️ Project Structure
ios_forensics_mcp/
├── tools/ # Tool implementations
│ ├── filesystem/ # File system tools
│ ├── sqlite/ # SQLite analysis tools
│ ├── plist/ # Property List tools
│ ├── specialized/ # iOS-specific artifact parsers
│ └── advanced/ # Advanced analysis tools
├── utils/ # Utility functions
├── models/ # Data models
└── tests/ # Test cases
📚 Documentation
For detailed documentation on each tool and its capabilities, see the documentation.
🛡️ Security Considerations
This tool runs with the permissions of the user executing it and can access the file system accordingly. For security:
- Always run in read-only mode for evidence preservation
- Validate paths to prevent directory traversal
- Use a dedicated non-privileged user for running the server
- Restrict access to the extracted iOS file system
📝 License
This project is licensed under the MIT License - see the LICENSE file for details.
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
🙏 Acknowledgements
- Thanks to the digital forensics community for research and documentation on iOS artifacts
- Thanks to the MCP community for creating the protocol that makes this tool possible
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: RLabs-Inc
- Source: RLabs-Inc/ios-forensics-mcp
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.