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HexStrike AI

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Dominant offensive security MCP repo. 7,561 stars — largest security MCP repo period. 150+ cybersecurity tools via MCP. Autonomous pentesting, vulnerability discovery, bug bounty automation.

Score 80

Where it wins

7,561 stars — largest security MCP repo

150+ cybersecurity tools accessible via MCP

Autonomous pentesting and vulnerability discovery

Bug bounty automation workflow support

Where to be skeptical

Offensive tools require clear authorization context (pentesting/CTF)

Breadth over depth — 150+ tools may not all be well-maintained

Editorial verdict

#1 offensive security skill. 7,561 stars — largest security MCP repo. 150+ cybersecurity tools. For authorized pentesting, CTF, and bug bounty only. The clear leader in agent-assisted offensive security.

Related

Public evidence

Raw GitHub source

GitHub README peek

Constrained peek so you can sanity-check the source material without leaving the site.

<div align="center"> <img src="https://raw.githubusercontent.com/0x4m4/hexstrike-ai/master/assets/hexstrike-logo.png" alt="HexStrike AI Logo" width="220" style="margin-bottom: 20px;"/>

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

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

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Follow Our Social Accounts

<p align="center"> <a href="https://discord.gg/BWnmrrSHbA"> </a> &nbsp;&nbsp; <a href="https://www.linkedin.com/company/hexstrike-ai"> </a> </p> </div>

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]
    
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    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.

View on GitHub →