Model Context Protocol implementation for Frida
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# Frida MCP A Model Context Protocol (MCP) implementation for Frida dynamic instrumentation toolkit. ## Overview This package provides an MCP-compliant server for Frida, enabling AI systems to interact with mobile and desktop applications through Frida's dynamic instrumentation capabilities. It uses the official [MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk) to enable seamless integration with AI applications. ## Demo https://github.com/dnakov/frida-mcp/raw/main/docs/assets/frida-mcp.mov ## Features - Built with the official MCP Python SDK - Comprehensive Frida tools exposed through MCP: - Process management (list, attach, spawn, resume, kill) - Device management (USB, remote devices) - Interactive JavaScript REPL sessions - Script injection with progress tracking - Resources for providing Frida data to models - Prompts for guided Frida analysis workflows - Progress tracking for long-running operations - Full support for all MCP transport methods ## Installation ### Prerequisites - Python 3.8 or later - pip package manager - Frida 16.0.0 or later ### Quick Install ```bash pip install frida-mcp ``` ### Development Install ```bash # Clone the repository git clone https://github.com/yourusername/frida-mcp.git cd frida-mcp # Install in development mode with extra tools pip install -e ".[dev]" ``` ## Claude Desktop Integration To use Frida MCP with Claude Desktop, you'll need to update your Claude configuration file: 1. Locate your Claude Desktop configuration file: - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` - Windows: `%APPDATA%\Claude\claude_desktop_config.json` - Linux: `~/.config/Claude/claude_desktop_config.json` 2. Add the following to your configuration file: ```json { "mcpServers": { "frida": { "command": "frida-mcp" } } } ``` Alternatively, you can use the MCP CLI to install the server: ```bash # Install using the module path mcp install -m frida_mcp.c…
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