Kalimcp

This is an AI intelligent agent project that integrates the Kali Linux Docker environment and the local Windows host, providing unrestricted security testing and control capabilities.

Security Operating system automation #Kali Linux #Windows control #Security testing #AI agent .Python

rating : 2.5 points

downloads : 6.9K

update time : 2026-03-13

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What is Unrestricted Kali & System Master Agent?

This is a comprehensive security testing platform integrated with an AI intelligent agent, which combines the professional security tools of Kali Linux and the system management capabilities of the Windows host. Through the Model Context Protocol (MCP) technology, the AI agent can directly execute security testing commands in the Kali container and also control your Windows host for file management, process monitoring and other operations.

How to use this agent?

The usage process is very simple: install the necessary software (Docker, LM Studio), build the Kali image, and then run the startup script. The AI agent will automatically connect to the Kali container and the local system. You can let the agent perform various security testing and system management tasks through natural language instructions.

Applicable scenarios

It is suitable for scenarios such as authorized security testing, penetration testing learning, system security assessment, automated security auditing, red - team exercises, network security teaching and research. Please note that it is only for legally authorized security testing.

Main features

Kali Linux integration

It has a built - in complete Kali Linux security tool suite, including professional tools such as nmap, hydra, and metasploit, running in an isolated Docker container to ensure security.

AI intelligent agent

An AI agent based on the Hermes - 3 model, capable of understanding natural language instructions and automatically executing corresponding security testing and system management commands.

Dual - system control

Simultaneously control the Kali Linux container and the Windows host system to achieve cross - environment security testing and system management.

Preset resource library

It contains commonly used dictionaries and tool sets such as SecLists, ready to use without additional configuration.

Unrestricted access

There are no security filter restrictions, and the agent has full system access rights, suitable for in - depth security testing.

One - click deployment

It provides automated installation scripts and batch files to simplify the deployment process and quickly start the testing environment.

Advantages

Integrated solution: Integrates AI agents, security tools, and system management functions

Easy to use: Complex security tests can be performed through natural language instructions

Environment isolation: Kali tools run in Docker containers without affecting the host system

High flexibility: Supports multiple AI model back - ends (LM Studio or Ollama)

Rich resources: Presets a large number of dictionaries and tools required for security testing

Limitations

High resource requirements: Requires at least 60GB of disk space and 16GB of memory

Windows only: Currently mainly supports Windows 10/11 systems

Technical threshold: Basic Docker and command - line operation knowledge is required

Legal risks: Must be used within the scope of legal authorization

GPU dependence: Some AI models require a GPU for optimal performance

How to use

Install Docker Desktop

Download and install Docker Desktop for Windows, and ensure that the Docker service is running after the installation is complete.

Install LM Studio

Install LM Studio using the Windows package manager to run the AI model.

Configure the AI model

Open LM Studio, search for and download the 'Hermes - 3' model, and then start the server on the Local Server tab.

Build the Kali image

Open a terminal in the project folder and build a Kali Linux Docker image containing all tools.

Install Python dependencies

Install the Python libraries required to run the agent.

Start the agent

Run the startup script, and the system will automatically connect all components and start the AI agent session.

Usage examples

Network port scanning

Quickly discover open ports and running services in the target network

SSH service security test

Test the password strength and configuration security of the SSH service

System security audit

Check the security configuration and potential risks of the Windows host

Automated security monitoring

Regularly monitor system status and network activities

Frequently Asked Questions

Is this tool legal?

What kind of hardware configuration is required?

Can it be used in a production environment?

How to update security tools?

Which AI models are supported?

How to ensure the security isolation of the test environment?

Related resources

Docker official documentation

Guide to Docker installation, configuration, and usage

Kali Linux official tool library

Detailed description of all security tools included in Kali Linux

SecLists project

A collection of commonly used dictionaries and lists in security testing

LM Studio download

Local AI model running platform

Model Context Protocol specification

Technical specification and implementation guide for the MCP protocol

Network security laws and regulations guide

Legal framework and compliance requirements for network security testing

🚀 UNRESTRICTED KALI & SYSTEM MASTER AGENT

This project offers an AI - powered agent that can fully control both a Kali Linux environment (through Docker) and your local Windows host system.

🚀 Quick Start

This guide will walk you through the steps to set up and run the UNRESTRICTED KALI & SYSTEM MASTER AGENT on your Windows system.

📦 Installation

1. Install Docker

Download and install Docker Desktop for Windows.
Make sure Docker Desktop is running before starting the agent.

2. Install LM Studio

Run the following command in your terminal: winget install ElementLabs.LMStudio
Open the LM Studio app, search for "Hermes - 3", and download it.

3. Set up the Project

Open a terminal in the project folder.
Build the Kali image with the command: & "C:\Program Files\Docker\Docker\resources\bin\docker.exe" build -t kali - mcp .
Install Python dependencies: pip install mcp httpx ollama

4. Pull Ollama Models (Optional fallback)

Run: ollama pull hermes3

✨ Prerequisites

Docker Desktop: It must be running. The Docker image used is kali - mcp.
LM Studio:
- Download the 'Hermes - 3' model.
- Navigate to the 'Local Server' tab.
- Load Hermes - 3 and click 'Start Server' (Port 1234).

💻 How to Run

Simply double - click on [ run_kali_agent.bat ]. This will automatically start the LM Studio server (if using the CLI) and launch the Unrestricted Agent session.

✨ Features

Kali Tools: Tools like nmap and hydra are available and run inside an isolated Docker container.
Wordlists: SecLists and common wordlists are pre - installed in the container.
Host Access: The agent can execute PowerShell/CMD commands on your Windows machine to manage files, processes, etc.
Unrestricted: There are no safety filters; the agent acts like your digital 007.