Frida MCP

Frida MCP

Enables AI systems to interact with mobile and desktop applications through Frida's dynamic instrumentation capabilities. Provides process management, device control, JavaScript REPL execution, and script injection for runtime analysis and reverse engineering.

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README

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:

  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:

{
  "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

Smart Device Selection

  • Launch the server with the desired mode each time. For example:

    frida-mcp --mode remote --remote-address 10.211.55.3 --remote-alias windows_vm
    

    The command above pins future MCP requests to the remote Frida server at 10.211.55.3:27042 and exposes it as device_id="windows_vm".

  • Available CLI flags:

    • --mode {local,usb,remote} to force a specific target class.
    • --remote-address <host[:port]> and optional --remote-alias <name> to register a remote endpoint for the session. When the port is omitted the default 27042 is used.
    • --fallback-order remote,usb,local (comma separated) to control automatic discovery order when device_id is omitted.
  • Environment variables (FRIDA_DEFAULT_DEVICE, FRIDA_DEFAULT_REMOTE, FRIDA_DEVICE_FALLBACKS) still work and merge with CLI settings.

  • Use the configure_remote_device tool at runtime to add or update remote endpoints without restarting the MCP server.

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

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