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hexstrike-ai

0x4m4 · 0x4m4/hexstrike-ai

This MCP server enables AI agents to autonomously perform penetration testing, vulnerability discovery, and bug bounty automation using over 150 cybersecurity tools.

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

12k stars2.5kLicense: MITUpdated 3 months ago0 opens

Preview

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What you can do with it

  • Automate penetration testing of web applications or networks.
  • Discover vulnerabilities in software and systems for bug bounty programs.
  • Conduct security research to identify new threats and attack vectors.

Safety check

Safe

No risky patterns found in the files we scanned.

Automated scan of the repo files. Always review code you run.

From the README

HexStrike AI MCP Agents v6.0

AI-Powered MCP Cybersecurity Automation Platform

Advanced AI-powered penetration testing MCP framework with 150+ security tools and 12+ autonomous AI agents

Owned & developed by OTT Cybersecurity LLC

📋 What's New • 🏗️ Architecture • 🚀 Installation • 🛠️ Features • 🤖 AI Agents • 📡 API Reference


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Architecture Overview

HexStrike AI MCP v6.0 features a multi-agent architecture with autonomous AI agents, intelligent decision-making, and vulnerability intelligence.

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graph TD
    A[AI Agent - Claude/GPT/Copilot] -->|MCP Protocol| B[HexStrike MCP Server v6.0]
    
    B --> C[Intelligent Decision Engine]
    B --> D[12+ Autonomous AI Agents]
    B --> E[Modern Visual Engine]
    
    C --> F[Tool Selection AI]
    C --> G[Parameter Optimization]
    C --> H[Attack Chain Discovery]
    
    D --> I[BugBounty Agent]
    D --> J[CTF Solver Agent]
    D --> K[CVE Intelligence Agent]
    D --> L[Exploit Generator Agent]
    
    E --> M[Real-time Dashboards]
    E --> N[Progress Visualization]
    E --> O[Vulnerability Cards]
    
    B --> P[150+ Security Tools]
    P --> Q[Network Tools - 25+]
    P --> R[Web App Tools - 40+]
    P --> S[Cloud Tools - 20+]
    P --> T[Binary Tools - 25+]
    P --> U[CTF Tools - 20+]
    P --> V[OSINT Tools - 20+]
    
    B --> W[Advanced Process Management]
    W --> X[Smart Caching]
    W --> Y[Resource Optimization]
    W --> Z[Error Recovery]
    
    style A fill:#b71c1c,stroke:#ff5252,stroke-width:3px,color:#fffde7
    style B fill:#ff5252,stroke:#b71c1c,stroke-width:4px,color:#fffde7
    style C fill:#ff8a80,stroke:#b71c1c,stroke-width:2px,color:#fffde7
    style D fill:#ff8a80,stroke:#b71c1c,stroke-width:2px,color:#fffde7
    style E fill:#ff8a80,stroke:#b71c1c,stroke-width:2px,color:#fffde7

How It Works

  1. AI Agent Connection - Claude, GPT, or other MCP-compatible agents connect via FastMCP protocol
  2. Intelligent Analysis - Decision engine analyzes targets and selects optimal testing strategies
  3. Autonomous Execution - AI agents execute comprehensive security assessments
  4. Real-time Adaptation - System adapts based on results and discovered vulnerabilities
  5. Advanced Reporting - Visual output with vulnerability cards and risk analysis

Installation

Quick Setup to Run the hexstrike MCPs Server

# 1. Clone the repository
git clone https://github.com/0x4m4/hexstrike-ai.git
cd hexstrike-ai

# 2. Create virtual environment
python3 -m venv hexstrike-env
source hexstrike-env/bin/activate  # Linux/Mac
# hexstrike-env\Scripts\activate   # Windows

# 3. Install Python dependencies
pip3 install -r requirements.txt

Installation and Setting Up Guide for various AI Clients:

Installation & Demo Video

Watch the full installation and setup walkthrough here: YouTube - HexStrike AI Installation & Demo

Supported AI Clients for Running & Integration

You can install and run HexStrike AI MCPs with various AI clients, including:

  • 5ire (Latest version v0.14.0 not supported for now)
  • VS Code Copilot
  • Roo Code
  • Cursor
  • Claude Desktop
  • Any MCP-compatible agent

Refer to the video above for step-by-step instructions and integration examples for these platforms.

Install Security Tools

Core Tools (Essential):

# Network & Reconnaissance
nmap masscan rustscan amass subfinder nuclei fierce dnsenum
autorecon theharvester responder netexec enum4linux-ng

# Web Application Security
gobuster feroxbuster dirsearch ffuf dirb httpx katana
nikto sqlmap wpscan arjun paramspider dalfox wafw00f

# Password & Authentication
hydra john hashcat medusa patator crackmapexec
evil-winrm hash-identifier ophcrack

# Binary Analysis & Reverse Engineering
gdb radare2 binwalk ghidra checksec strings objdump
volatility3 foremost steghide exiftool

Cloud Security Tools:

prowler scout-suite trivy
kube-hunter kube-bench docker-bench-security

Browser Agent Requirements:

# Chrome/Chromium for Browser Agent
sudo apt install chromium-browser chromium-chromedriver
# OR install Google Chrome
wget -q -O - https://dl.google.com/linux/linux_signing_key.pub | sudo apt-key add -
echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" | sudo tee /etc/apt/sources.list.d/google-chrome.list
sudo apt update && sudo apt install google-chrome-stable

Start the Server

# Start the MCP server
python3 hexstrike_server.py

# Optional: Start with debug mode
python3 hexstrike_server.py --debug

# Optional: Custom port configuration
python3 hexstrike_server.py --port 8888

Verify Installation

# Test server health
curl http://localhost:8888/health

# Test AI agent capabilities
curl -X POST http://localhost:8888/api/intelligence/analyze-target \
  -H "Content-Type: application/json" \
  -d '{"target": "example.com", "analysis_type": "comprehensive"}'

AI Client Integration Setup

Claude Desktop Integration or Cursor

Edit ~/.config/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "hexstrike-ai": {
      "command": "python3",
      "args": [
        "/path/to/hexstrike-ai/hexstrike_mcp.py",
        "--server",
        "http://localhost:8888"
      ],
      "description": "HexStrike AI v6.0 - Advanced Cybersecurity Automation Platform",
      "timeout": 300,
      "disabled": false
    }
  }
View source on GitHub