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Frida MCP

by dnakov
GitHub
Python
MIT License
96
  • Linux
  • Apple
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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 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

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

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

An MCP-compliant server that enables AI systems to interact with mobile and desktop applications through Frida's dynamic instrumentation capabilities, allowing for process management, device control, JavaScript execution, and script injection.

  1. Overview
    1. Demo
      1. Features
        1. Installation
          1. Prerequisites
          2. Quick Install
          3. Development Install
        2. Claude Desktop Integration
          1. Usage
            1. Process Management
            2. Device Management
            3. Interactive JavaScript REPL
            4. Script Injection
            5. Resources
          2. Development
            1. License

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