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 to enable seamless integration with AI applications.

Demo

https://github.com/user-attachments/assets/5dc0e8f5-5011-4cf2-be77-6a77ec960501

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 with real-time execution
- Script injection with progress tracking
- Process and device monitoring
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

pip install frida-mcp

Development Install

# 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:

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
Add the following to your configuration file:

{
  "mcpServers": {
    "frida": {
      "command": "frida-mcp"
    }
  }
}

Usage

Once installed, you can use Frida MCP directly from Claude Desktop. The server provides the following capabilities:

Process Management

List all running processes
Attach to specific processes
Spawn new processes
Resume suspended processes
Kill processes

Device Management

List all connected devices (USB, remote)
Get device information
Connect to specific devices

Interactive JavaScript REPL

Create interactive sessions with processes
Execute JavaScript code in real-time
Monitor process state and memory
Hook functions and intercept calls
Capture console.log output
Handle errors and exceptions gracefully

Script Injection

Inject custom JavaScript scripts
Track injection progress
Handle script errors and exceptions

Resources

Get Frida version information
Access process list in human-readable format
Access device list in human-readable format

Development

# Clone repository
git clone https://github.com/yourusername/frida-mcp.git
cd frida-mcp

# Install development dependencies
pip install -e ".[dev]"

License

MIT

Integrations