Summary

This project offers an API bridge designed to connect AI clients with a Linux terminal, enabling sophisticated AI-driven offensive security operations. It targets security professionals, including red teamers, bug bounty hunters, and CTF players, by allowing AI models to execute commands and interact with a wide array of security tools directly on a Kali Linux machine. This facilitates enhanced automation, real-time problem-solving, and novel approaches to penetration testing and cybersecurity challenges.

How It Works

The core of the MCP Kali Server is a lightweight API bridge implemented in Python, designed to run on a Kali Linux host. This server exposes a controlled interface that compatible MCP clients, such as Claude Desktop or the 5ire application, can connect to. Upon connection, the AI model, via the client, can send requests to execute specific terminal commands on the Kali machine. The server processes these requests, runs the commands, and returns structured output back to the AI. This mechanism allows AI to leverage powerful command-line utilities like nmap for network scanning, curl and wget for web interaction, gobuster for directory busting, and even more advanced tools for memory or disk forensics, thereby enabling complex security workflows and real-time interaction with target environments.

Quick Start & Requirements

• Primary install/run command (Server):

  git clone https://github.com/Wh0am123/MCP-Kali-Server.git
  cd MCP-Kali-Server
  python3 kali_server.py
  

• Client Configuration: Users must configure their MCP client applications to point to the server's IP address and port (e.g., http://LINUX_IP:5000/). Specific JSON configuration examples are provided for Claude Desktop, and the 5ire application handles configuration automatically.
• Prerequisites: Requires Python 3.x, a Linux machine (Kali Linux is recommended for its pre-installed security tools) to host the server, and a compatible MCP client application.
• Links: No specific quick-start guides, demos, or official documentation links are provided beyond the GitHub repository itself.

Highlighted Details

• AI Endpoint Integration: Facilitates seamless connection between Kali Linux and various MCP clients and AI models, such as OpenAI, Claude, and DeepSeek.
• Command Execution API: Provides a secure and structured API for AI to execute terminal commands, enabling AI-driven automation of security tasks.
• Web Challenge Support: Empowers AI to interact with websites and APIs, capture flags, and perform reconnaissance using tools like curl, nmap, and ffuf.
• Offensive Security Focus: Specifically tailored for automating common tasks in penetration testing, bug bounty hunting, and Capture The Flag (CTF) competitions.
• Advanced Use Cases: Potential applications extend to memory forensics using Volatility and disk forensics with SleuthKit, showcasing versatility.

Maintenance & Community

• No information regarding notable contributors, sponsorships, partnerships, or community channels (like Discord or Slack) is available in the provided README.

Licensing & Compatibility

• The README does not specify a software license. Consequently, its compatibility for commercial use or integration within closed-source projects remains undetermined.

Limitations & Caveats

• The project is explicitly designated for educational and ethical testing purposes only. The author disclaims all responsibility for any misuse, including unauthorized access, exploitation, or malicious activities.