What are the system requirements for iOS Forensics MCP Server?
Python 3.9+, an MCP-compatible client (Claude Desktop, Claude Code, VS Code with MCP plugin), and an extracted iOS file system accessible as a directory.
@RLabs-Inc
基本信息
iOS Forensics MCP Server for analyzing iPhone/iPad file systems
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"ios-forensics-mcp": {
"command": "uv",
"args": [
"sync"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A forensic analysis server that enables AI assistants like Claude to access and analyze extracted iOS file systems for digital forensics purposes. It provides tools for file system analysis, SQLite database parsing with WAL forensics, plist parsing, iOS artifact analysis, timeline generation, and forensic reporting. Designed as an educational/learning tool.
Install via uv or from source. Configure the server in an MCP-compatible client (Claude Desktop, Claude Code, VS Code with MCP plugin) by adding a server entry that points to an extracted iOS file system. Start the server with the command ios-forensics-mcp or uv run ios-forensics-mcp --root-path /path/to/ios_extraction. Then ask forensic questions like "Show me the SMS messages from this device" or "Generate a report of all activity on March 15th".
Python 3.9+, an MCP-compatible client (Claude Desktop, Claude Code, VS Code with MCP plugin), and an extracted iOS file system accessible as a directory.
The server reads from a user-supplied extracted iOS file system directory. It runs with the permissions of the executing user and should be used in read-only mode for evidence preservation.
It is designed as an educational/learning tool for exploring and analyzing iOS data with an AI assistant, not as a production forensic tool.
Set `"read_only": true` in the configuration file (config.json) under `ios_filesystem`, or ensure the underlying file system directory is mounted read-only.
It is released under the MIT License.

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