semvec/pypi-packages huggingface dataset:
frida-mcp 0.1.1
Model Context Protocol implementation for Frida
License: MIT
Requires Python: >=3.8

# 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.cli
```

## 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

### Script Injection
- Inject custom JavaScript scripts
- Track injection progress
- Handle script errors and exceptions

## Development

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

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

## License

MIT
ingester3 2.1.1
Data ingester for ViEWS3.
License: MIT
Requires Python: <4.0,>=3.9

# Ingester3

Ingester3 is the Pandas extension-based system for ingesting data in the ViEWS3 system.

## Funding

The contents of this repository is the outcome of projects that have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 694640, *ViEWS*) and Horizon Europe (Grant agreement No. 101055176, *ANTICIPATE*; and No. 101069312, *ViEWS* (ERC-2022-POC1)), Riksbankens Jubileumsfond (Grant agreement No. M21-0002, *Societies at Risk*), Uppsala University, Peace Research Institute Oslo, the United Nations Economic and Social Commission for Western Asia (*ViEWS-ESCWA*), the United Kingdom Foreign, Commonwealth & Development Office (GSRA – *Forecasting Fatalities in Armed Conflict*), the Swedish Research Council (*DEMSCORE*), the Swedish Foundation for Strategic Environmental Research (*MISTRA Geopolitics*), the Norwegian MFA (*Conflict Trends* QZA-18/0227), and the United Nations High Commissioner for Refugees (*the Sahel Predictive Analytics project*).